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Free Download Master Data Structures and Algorithms in Java Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 2m | Size: 540 MB Learn the Data Structures and Algorithms in Java and Be able to ace the interviews! What you'll learn Become more confident and prepared for your next coding interview Learn, implement and use different Algorithms in Java Programming Language Learn, implement, and use different Data Structures in Java Programming Language Learn Arrays and linked lists in Java Requirements Need to have basic of coding knowledge Description Data Structures and Algorithms (DSA) are essential components of computer science, offering systematic approaches to organizing data and solving computational problems efficiently. In Java, a popular object-oriented language, DSA becomes particularly powerful due to its extensive library support and consistent performance. Data structures-such as arrays, linked lists, stacks, queues, trees, hash tables, and graphs-form the foundation of how data is organized, accessed, and modified.Algorithms are the procedures that operate on these data structures. Searching algorithms like binary search optimize data retrieval by narrowing down search spaces in sorted data, reducing time complexity to O(log n). Sorting algorithms such as merge sort, quicksort, and insertion sort play a critical role in data organization, each offering unique trade-offs in time and space complexity. Merge sort and quicksort are divide-and-conquer algorithms that partition data to sort it efficiently, often with logarithmic or linearithmic complexity. Arrays and linked lists represent linear data structures; arrays offer quick access but fixed size, while linked lists enable dynamic sizing but require sequential access. Mastering data structures and algorithms in Java equips programmers with skills to design scalable applications, making optimal use of resources and ensuring responsive software. Proficiency in DSA also prepares developers for more complex programming challenges, such as implementing custom data structures or optimizing algorithms for high performance, both critical in advanced computing and industry applications. Who this course is for Anyone preparing for programming interviews Software Developers Homepage https://www.udemy.com/course/master-data-structures-and-algorithms-in-java/ Screenshot Rapidgator https://rg.to/file/bba5575176c83ec4aff7a9558551b90e/jnyby.Master.Data.Structures.and.Algorithms.in.Java.rar.html Fikper Free Download https://fikper.com/YlTQuCE8CN/jnyby.Master.Data.Structures.and.Algorithms.in.Java.rar.html No Password - Links are Interchangeable

Free Download Master Data Structures + Algorithms For Developers Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 204.96 MB | Duration: 0h 57m Learn the Data Structures and Algorithms for the interviews What you'll learn Become more confident and prepared for your next coding interview Learn, implement and use different Algorithms Learn, implement, and use different Data Structures Learn everything you need to ace difficult coding interviews Requirements Need to have basic of coding knowledge Description Data Structures and Algorithms (DSA) are fundamental concepts in computer science that enable efficient data handling and problem-solving. Data structures are specific ways of organizing, managing, and storing data to facilitate access and modifications. Algorithms, on the other hand, are well-defined steps or procedures to solve a particular problem. Together, DSA provides the foundation for building efficient software solutions, optimizing performance, and enhancing scalability in computer programs.Algorithms are equally vital, with the primary goal of solving computational problems effectively. Sorting algorithms, such as quicksort, mergesort, and heapsort, organize data systematically, enabling faster searches and optimized storage. Searching algorithms like binary search allow faster look-up times in sorted data by halving the search space with each step, contrasting with linear search's sequential approach. Algorithms are often evaluated by their time and space complexity using Big O notation, which provides a metric for algorithm efficiency. This helps in selecting the optimal algorithm based on resource constraints, ensuring that applications run efficiently even as data scales.Mastering DSA empowers developers to write efficient code, reduce computational bottlenecks, and build scalable applications. As modern computing deals with increasingly vast datasets and complex systems, DSA remains essential for creating programs that are not only functional but also performant. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Types of Data Structures Lecture 3 Floating Point Operations Lecture 4 Get Format Instructions Lecture 5 Model Compression Lecture 6 Model Training Lecture 7 Wrapper Creation Anyone preparing for programming interviews,Software Developers Screenshot Homepage https://www.udemy.com/course/master-data-structures-algorithms-for-developers/ Rapidgator https://rg.to/file/080b92fff78c56f699874fafab61722f/zlbjv.Master.Data.Structures..Algorithms.For.Developers.rar.html Fikper Free Download https://fikper.com/9Ax425xTaI/zlbjv.Master.Data.Structures..Algorithms.For.Developers.rar.html No Password - Links are Interchangeable

Free Download Data Structures and Algorithms Simplified Bootcamp Published 10/2024 Created by Bonaventure Ogeto MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 42 Lectures ( 7h 49m ) | Size: 2.3 GB Bite-Sized Lessons for Beginners and Developers: Learn, Practice, and Master Data Structures, Algorithms What you'll learn Understand and implement common data structures like arrays, linked lists, stacks, and queues. Learn various searching and sorting algorithms, including linear search, binary search, and quicksort. Apply key concepts of algorithms to solve real-world problems efficiently. Master algorithmic thinking, enabling optimal solutions for technical interview questions and coding challenges. Develop problem-solving skills, tackling challenges like Fibonacci, factorial, and backtracking problems. Requirements No prior experience in data structures and algorithms is required. This course is beginner-friendly. Basic understanding of any programming language (e.g., Python, JavaScript, C++) is helpful but not mandatory. A computer and internet connection to follow along with coding exercises and quizzes. Willingness to solve problems and practice consistently Description Data Structures and Algorithms Simplified BootcampMaster the Building Blocks of Coding, Ace Your Interviews, and Solve Real-World Problems with Confidence!Are you struggling to grasp the complex parts of data structures and algorithms? Or maybe you're preparing for a coding interview and need a refresher? Whether a beginner or an experienced developer, this bootcamp series offers bite-sized, easy-to-understand lessons to help you level up your coding skills-step by step.What You'll Learn:Data Structures: Master arrays, linked lists, stacks, queues, trees, graphs, and hash tables Algorithms: Understand sorting, searching, recursion, dynamic programming, greedy algorithms, and backtracking Problem-Solving Techniques: Learn patterns to tackle technical challenges with ease Interview Prep: Get tips and practice problems to crack coding interviews at top tech companies Real-World Applications: Discover how data structures and algorithms are applied in search engines, social networks, and more Why This Course?Bite-Sized Lessons: Perfect for learners with busy schedules-make meaningful progress in minutes Beginner-Friendly & Refreshing for Experts: Start from scratch or jump straight to advanced topics Hands-On Learning: Real coding examples and practical problems after every concept Clear Explanations: No jargon-just easy-to-follow lessons designed to build your confidence Lifetime Access: Revisit any topic whenever you need.Who Is This Course For?Aspiring developers who want to build a strong foundation in coding Developers preparing for technical interviews or coding challenges CS students needing extra support to ace data structures and algorithmsAnyone looking to solve problems faster and write efficient code By the End of This Course, You Will:Master key concepts in data structures and algorithms Be interview-ready with practical coding skills and problem-solving techniques Confidently write optimized code for real-world applications Gain the skills employers seek in top software development roles Join us now and build the skills you need to become a confident programmer one step at a time. Who this course is for Beginners in programming who want to build a strong foundation in data structures and algorithms. Developers preparing for coding interviews or technical assessments for software engineering roles. Students or professionals who want a refresher in data structures and algorithms for career advancement. Anyone interested in improving problem-solving skills and optimizing code performance. Computer science enthusiasts or professionals aiming to improve their understanding of algorithmic thinking and optimize solutions for complex problems. Homepage https://www.udemy.com/course/data-structures-and-algorithms-simplified-bootcamp/ Screenshot Rapidgator https://rg.to/file/0f24898ba0c5c6f82a13dc2374e26428/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part1.rar.html https://rg.to/file/3facc7c3a3db3c0a8fe1a012ad1e7b50/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part3.rar.html https://rg.to/file/65b8c4632f45dc3524edc447face38a1/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part2.rar.html Fikper Free Download https://fikper.com/MzVeEyrvPt/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part3.rar.html https://fikper.com/czR6nDnSVx/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part2.rar.html https://fikper.com/tyA7XPqzMg/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part1.rar.html No Password - Links are Interchangeable

Free Download 50 Sorting, Search, and Graph Algorithms in C++ Published 10/2024 Created by Dion Jackson MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 92 Lectures ( 9h 3m ) | Size: 3.88 GB Learn Play and Discover Computer Science What you'll learn Students learn how to work from the Algorithm's description to actual working programs in C++. Learn how to code all of your favorite sorting and graph algorithms include A Start Search! Watch fun simulations of sorting problems with live coding! Helpful links figures slides and diagrams to enhance learning retention. C++ works in all your favorite IDEs and even deploys over the web! Quick theory like tutorials then straight to coding with an easy to see font size. Example soure code for each concept to test and improve on your own! Requirements All you need is a compiler and a few hours a day of free time to begain so start learning today!. Description Are you having trouble with your C++ or need an extra weapon in you arsenal for coding interviews? Look no further than to this complete video course on coding Graph and Sorting algorithms in C++. 50 Sorting, Search, and Graph Algorithms in C++ will also talk a bit about the use of data structures such as linked lists and trees. If you are tired of reading articles and trying to code things up yourself just watch this video and relax as we work together to sort out at least one of life's problems together. Links and sources are provided in the description as well as independent course information for each concept of class. Yes it is easy it is all easy and you can learn it all today too. Level up Today!Knuth Morris Pratt Pattern MatchingLinear SearchNaiive Pattern SearchRabin KarpTower of HanoiZ Algorithm3 Way MergesortBingo SortBitonic SortBubble SortBucket SortCocktail SortComb SortCounting SortCycle SortHeapsortInsertion SortMergesortOdd Even Brick SortPancake SortPigeonhole SortQuick SortRadix SortSelection SortShell SortSleep SortStooge SortStrand SortStructured SortTag SortTim SortTree SortB TreeTopological Sort in a Directed Acyclic Graph(DAG)Numbering a Spanning Tree with Matrix MultiplicationKruskalPrimRed Black TreeCircular Singly Linked ListDoubly Linked ListLinked ListHistogramD Star LiteFloyd Washall AlgorithmDijkstraDepth First SearchBreath First Searchother Algorithms...- plus some bonus information and lessons.If you want to know more about this concept get the book . 50 Sorting, Search, and Graph Algorithms in C++ is available now! Who this course is for Everyone who wantes to improve their C++ programming abilities. People who want to be able to apply Data Structure concepts with actual coding in C++. Homepage https://www.udemy.com/course/50-sorting-search-and-graph-algorithms-in-c/ Screenshot Rapidgator https://rg.to/file/21fe471d9dfb94a4c0b4afa1f2eaa38d/njfsn.50.Sorting.Search.and.Graph.Algorithms.in.C.part1.rar.html https://rg.to/file/2ed88e026b352dc4216de48eba31d608/njfsn.50.Sorting.Search.and.Graph.Algorithms.in.C.part4.rar.html https://rg.to/file/81ce75082d79d774ea7c83696cce1adf/njfsn.50.Sorting.Search.and.Graph.Algorithms.in.C.part2.rar.html https://rg.to/file/cf8dc982ff04630967dcd4b40c0e0780/njfsn.50.Sorting.Search.and.Graph.Algorithms.in.C.part3.rar.html Fikper Free Download https://fikper.com/16XtDnKaj7/njfsn.50.Sorting.Search.and.Graph.Algorithms.in.C.part4.rar.html https://fikper.com/FlOkm37Khk/njfsn.50.Sorting.Search.and.Graph.Algorithms.in.C.part2.rar.html https://fikper.com/LKrSAUOVZz/njfsn.50.Sorting.Search.and.Graph.Algorithms.in.C.part1.rar.html https://fikper.com/eOnr1Z6FiZ/njfsn.50.Sorting.Search.and.Graph.Algorithms.in.C.part3.rar.html No Password - Links are Interchangeable

Free Download Udemy - Python Algorithms Masterclass Published 10/2024 Created by EMCAST Inc. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 393 Lectures ( 33h 50m ) | Size: 12 GB Algorithms with Python for efficient coding and problem-solving skills What you'll learn: You can choose the right algorithm for various problem situations and solve them efficiently. You can solve problems systematically by learning algorithm design techniques such as divide-and-conquer, dynamic programming, and more. You can analyze the time and space complexity of your algorithms to improve their performance. You can implement various algorithms and data structures using Python, and apply them to real-world problems. You can understand the basic concepts of key data structures, such as stacks, queues, trees, and hash tables, and apply them to solve problems. You can learn efficient search and sort algorithms, including binary search, bubble sort, selective sort, quick sort, and merge sort. You can solve graph-based problems by learning Depth-First Search (DFS), Breadth-First Search (BFS), Minimum Height Tree, Shortest Path Algorithm, and more. You can solve mathematical algorithmic problems such as prime number checking, divisor calculation, prime factorization, greatest common factor, least common m You can use dynamic programming techniques to solve optimization problems and write code efficiently. You can solve algorithmic problems of different difficulty levels, gaining hands-on problem-solving experience. Requirements: You need computer and internet skills sufficient to install the programs required for the course. It is recommended that you have a basic understanding of Python syntax, such as variables, conditional statements, loops, and functions. You should have an understanding of basic math concepts and be able to challenge yourself to solve mathematical problems. You should have a good understanding of basic math concepts (prime numbers, divisors, greatest common divisor, least common multiple, and more) and be able to challenge yourself to solve mathematical problems. Description: "Python Algorithms Masterclass" is a fundamental course for any developer who wants to solve complex problems effectively.In this course, you will systematically learn various algorithmic problems and how to implement them efficiently using Python so that you can apply them immediately in your work.Develop your ability to combine mathematical and computational thinking to design better performing algorithms, and even master how to analyze performance to choose the optimal solution!The "Python Algorithms Masterclass" course is the best choice for anyone who wants to learn how to solve problems quickly and accurately in the real world.In the "Python Algorithms Masterclass" course,(POINT 1) You will learn a variety of topics from basic concepts of problem-solving to advanced algorithms.(POINT 2) You will learn theory and practice simultaneously through various practical problems, and gain experience in implementing them yourself using Python.(POINT 3) You will learn how to understand and analyze the time complexity and space complexity of algorithms to improve their performance.(POINT 4) You will challenge yourself with difficult problems by gradually increasing the difficulty level from basic to advanced.Introduction to Problem-Solving: Learn the basic concept of problem-solving, how to input and output data, and write problem-solving strategies in code.Recursion: Learn the basic concept of recursion and efficiently solve problems such as Euclidean algorithm to find the greatest common divisor, Collatz conjecture, Tower of Hanoi, permutations, Fibonacci sequence, and more.Sort: Learn the basic concept of sorting algorithms and efficiently solve problems such as word sorting, coordinate sorting, median elimination, determining anagrams, bubble sorting, insertion sorting, and more.Sequential Search: Learn the basic concept of sequential search and efficiently solve problems such as locating elements, Palindrome numbers, Eratosthenes' sieve, building triangles, and more.Binary Search: Learn the basic concept of binary seacrch and efficiently solve problems such as locating elements, playing twenty questions game, the batonic sequence, cutting trees, and more.Stack: Learn the basic concept of a stack and efficiently solve problems such as visible sticks, postfix operations and transformations, stacked sequences, and more.Queue and Heap: Learn the concept of a queue and a deque and efficiently solve problems such as changing median, Josephus, and more.Hash Tables: Learn the basic concepts of a hash table and efficiently solve problems such as sums of two elements, Roman numeral conversion, and more.Divide-and-Conquer 1: Learn the basic concept of divide and conquer and efficiently solve problems involving power of integer and matrice, quadtree, and more.Divide-and-Conquer 2: Efficiently solve problems such as dividing and sorting a given list by a pivot.Dynamic Programming 1: Learn the basic concept of dynamic programming and efficiently solve problems such as Fibonacci numbers, 2 x N Tiling, stair climbing, making it 1, finding the optimal value and the optimal solution simultaneously, and more.Dynamic Programming 2: Efficiently solve problems such as how to compute binomial coefficients, paths on triangles, sequence of final common parts, and more.Greedy approach: Learn the basic concept of the greedy approach and efficiently solve problems such as coin exchange, room assignment, and more.DFS and BFS: Learn the basic concept of Depth-First Search and Breadth-First Search and efficiently solve problems such as a number of islands, maze navigation, and more.Backtracking: Learn the basic concept of backtracking and use backtracking to efficiently solve problems such as N-Queens, and more.Tree: Learn the basic concept of trees and binary trees and efficiently solve problems such as traversal of binary trees, reconstruction of binary trees, and more.Graph: Learn the basic concept of graphs and efficiently solve problems such as Union-Find and finding the minimum height tree using the Kruskal algorithm, and more.Shortest Paths: Learn the Daixtra and Floyd algorithms and efficiently solve problems such as finding the cost of the shortest path and finding the shortest path of all pairs.Knapsack Problem: Efficiently solve problems such as the divisible knapsack problem using Griddy strategies and dynamic programming.Computational Complexity: Learn computational complexity through the selection problem, and understand the basic concept of NP-Theory, NP-Complete, and NP-Hard problems. Who this course is for: A learner who wants to learn Python syntax, algorithms, and data structures in a structured way. A computer science and software major who wants to gain diverse problem-solving experience. A beginner who has a basic knowledge of algorithms and data structures or who is interested in learning them. A developer who wants to develop efficient problem-solving skills in their projects and solve complex algorithmic problems in Python. A learner who wants to learn strategies and efficient coding methods for solving algorithmic problems in IT companies, programming competitions, and more. A learner who wants to develop computational thinking and problem-solving skills. 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Free Download Design and Analysis of Algorithms (2024) Published 10/2024 Created by Sakthi U MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 15 Lectures ( 3h 46m ) | Size: 1.5 GB Sorting, Searching and Divide and Conquer Approach What you'll learn: Develop an efficient algorithm to reduce space and time complexity Solve problems using divide and conquer approaches Apply dynamic programming type's techniques to solve polynomial time problems Apply greedy programming type's techniques to solve polynomial time problems Requirements: No programming experience is required. You will learn how to design and analyze the algorithm Description: This course introduces the fundamental principles of algorithm design and analysis. Students will learn how to approach computational problems by designing efficient algorithms and evaluating their performance. Emphasis will be placed on understanding different algorithmic strategies and their applications across various problem domains. The course also focuses on mathematical tools for analyzing the time and space complexity of algorithms, as well as the impact of different algorithm design paradigms. This course prepares students for advanced topics in computer science and equips them with problem-solving skills critical in both academic and professional environments.The Design and Analysis of Algorithms course is crucial for several reasons:1. Problem-Solving Skills:Algorithms are at the core of solving computational problems. Understanding how to design and analyze algorithms equips students with the ability to approach complex problems in a structured and efficient manner.2. Efficiency Optimization:Not all solutions are created equal. Some approaches may solve a problem, but with suboptimal performance. This course teaches how to develop solutions that not only work but are efficient in terms of time and space, which is critical in real-world applications where resources are limited.3. Critical Thinking:Designing algorithms involves making trade-offs and selecting the right approach based on the problem's constraints and requirements. This encourages critical thinking, as students must evaluate multiple strategies and understand their pros and cons.4. Foundation for Advanced Computer Science Concepts:Algorithms are foundational to other areas of computer science, such as artificial intelligence, machine learning, cryptography, and databases. Mastering algorithms provides the background necessary for understanding more advanced and specialized topics in computer science.5. Industry Demand:Many technical roles in software development, data science, and system design require a deep understanding of algorithms. Employers often look for candidates who can design efficient algorithms and optimize system performance, making this course highly relevant for career preparation.6. Understanding Computational Limits:The course also covers concepts like NP-completeness and computational intractability, which help students recognize the boundaries of what can be computed efficiently. This awareness is vital for problem scoping and feasibility analysis in both research and industry projects.7. Cross-disciplinary Application:Algorithms are not limited to computer science. They play an important role in disciplines such as biology (genome sequencing), economics (auction theory), operations research (optimization problems), and more. Learning algorithms allows students to apply computational thinking to a wide range of fields.8. Structured Approach to Programming:The course provides a structured methodology for programming by teaching systematic approaches to algorithm design. This improves students' programming skills, helping them to write clear, efficient, and bug-free code.Key Topics:Algorithm complexity (Big-O, Big-Θ, Big-Ω notation)SortingSearchingDivide-and-ConquerDynamic ProgrammingGreedy AlgorithmsLearning Outcomes:Understand and analyze the efficiency of algorithms using asymptotic notation.Design algorithms using various paradigms (greedy, divide-and-conquer, dynamic programming).Apply algorithmic techniques to solve real-world problems.Evaluate the correctness and performance of algorithms. Who this course is for: Data Structure and algorithm analysis for beginners Undergraduate Computer Science Students: Usually taken in the second or third year, it is a core course in most computer science programs. Graduate Students: Especially those focusing on computer science, data science, or related fields. It may be a required or elective course in a master's program. Software Engineers and Developers: Professionals looking to enhance their understanding of algorithms to improve their coding and problem-solving skills. Anyone Interested in Problem-Solving: Enthusiasts who have a foundational understanding of programming and want to delve deeper into algorithmic thinking and optimization techniques. Homepage https://www.udemy.com/course/design-and-analysis-of-algorithms-n/ Rapidgator https://rg.to/file/580592e4ed4c82f1360555ddc0eae1a6/ihbei.Design.and.Analysis.of.Algorithms.2024.part2.rar.html https://rg.to/file/e7cd22178c96bc1291b47afb78775c69/ihbei.Design.and.Analysis.of.Algorithms.2024.part1.rar.html Fikper Free Download https://fikper.com/OiumdUhiaE/ihbei.Design.and.Analysis.of.Algorithms.2024.part2.rar.html https://fikper.com/qZTBZ8zHAw/ihbei.Design.and.Analysis.of.Algorithms.2024.part1.rar.html No Password - Links are Interchangeable

Free Download Conquer Computer Science - Algorithms & Coding (Part 5/5) Published 9/2024 Created by LearnFire Education,John Iglar,LearnFire Team MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 35 Lectures ( 5h 31m ) | Size: 7 GB A Course for Parents of Students Preparing for any High School Computer Science Exams: iGCSE, GCSE, IB, and More What you'll learn: Understand the program development life cycle of analysis, design, coding, and testing Learn and apply standard methods of solutions including searches, sorts, and more Analyze algorithms using trace tables Learn and use the basic concepts of computer programming Read and analyze computer programs Write and debug computer programs Requirements: This fundamentals Computer Science course has no requisites Beginner students will learn the basics of algorithms and programming More advanced students will gain greater insight into the fundamental concepts and skills of algorithms and programming This course is aimed at students studying Computer Science in the IGCSE, GCSE, or other secondary school level curriculum. Description: If you or teenagers you know are studying Computer Science and want to master fundamental concepts and achieve top scores in the exams, this is the course for you! Designed specifically for international school students, home schoolers, and independent students studying IGCSE Computer Science, GCSE Computer Science, or High School Computer Science, this course will guide you through the fundamentals of algorithms and algorithmic design, as well as the concepts and skills of programming. By the end of this course you will not only be able to create computer programs but will understand how they are designed and built, and be able to apply fundamental concepts of problem solving using computer programs.This course is intended to guide learners through a high-school level (IGCSE, IB Diploma, or similar) curriculum. It is intended to be purchased by adults over 18 years old, either for their own fundamental learning, or to be then given to a younger person to use. According to Udemy's regulations, "Those under 18 may use the services only if a parent or guardian opens their account, handles any enrollments, and manages their account usage." If you are under 18, I encourage you to take this course but to let your parent or legal guardian manage the enrollment and payment.In this course, you will be able to:Review the Computer Science syllabus in a logical and organized mannerGain a deep understanding of each topic through clear explanations and illustrative images and videosReinforce your knowledge with interactive quizzes and exercisesKeep track of your learning with helpful study guidesGet instant feedback on your progress and identify areas you need to work on.This course includes:Video lessons covering the key topics of algorithms, algorithmic design, and computer programmingQuizzes and exercises to reinforce your understandingDownloadable study guidesAccess to expert instructors for support and guidanceA supportive community of like-minded students to share your journeyThis course is taught by a highly experienced Computer Science teacher who has spent many years teaching the subject in top-class international schools around the world, preparing students for success in many curricula and exams. He is a certified and highly qualified Computer Science teacher at the secondary level as well as at other levels.This IGCSE Computer Science (O Level) masterclass is offered by LearnFire on Udemy. This masterclass covers all the content needed to write the IGCSE and GCSE Computer Science exams offered by Pearson Edexcel or Cambridge CIE or other exam boards like Oxford AQA. It also covers the basics of content required by the IB Diploma Computer Science course, AP Computer Science, or other High School or Secondary School Computer Science programs. 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Free Download CS Primer - Algorithms and Data Structures Released 9/2024 MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 41 Lessons ( 26h 32m ) | Size: 9.53 GB Algorithms and Data Structures can be a particular rewarding area of study, because it drives at the core of computer programming: solving difficult problems. In the course below, you'll learn a number of important data structures and algorithms, which we're sure will prove useful throughout your career. Just as importantly, you'll develop a stronger ability to understand, break down and solve novel problems, whether inventing your own techniques or repurposing those which you learn here. At the core of this course are the sequences of problems for each topic. You should aim to solve each problem, using the worked solutions and supplementary explainers as needed. For more suggestions on how to approach CS Primer, see the how-to guide. Also included are seminars recorded with CS Primer students, which you may like to work through as well, by stopping and asking yourself each of the questions we cover together. These were typically recorded after the students completed 1-2 problems in that module, so are designed to reinforce the fundamental concepts and prepare for harder problems. As a supplementary resources, I recommend Steven Skiena's video lectures and book: The Algorithm Design Manual. This tends to be a little less heavy in theory, and has a more "problem solving" orientation than the typically recommended textbooks. There are plenty of other good resources available online, such as those from Tim Roughgarden. Generally I suggest just attempting the problems below, and reaching for the textbook if you feel conceptually stuck or would like further practice problems. Homepage https://csprimer.com/courses/algorithms/ TakeFile https://takefile.link/9ry7lje9b8t5/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part01.rar.html https://takefile.link/yz7hu4tp0vsn/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part02.rar.html https://takefile.link/yoddf4h5wfkp/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part03.rar.html https://takefile.link/iuu14imezqsw/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part04.rar.html https://takefile.link/w1gny961s2d4/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part05.rar.html https://takefile.link/y4vgdc0hcnt4/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part06.rar.html https://takefile.link/zpj6px2xsia1/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part07.rar.html https://takefile.link/cs7zenx76ss6/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part08.rar.html https://takefile.link/371xrpz8gg18/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part09.rar.html https://takefile.link/vl9uf2enj5d3/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part10.rar.html Rapidgator http://peeplink.in/7a1b2bc5948d Fikper Free Download https://fikper.com/11yD4AbS0E/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part01.rar.html https://fikper.com/LteblIhnmI/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part02.rar.html https://fikper.com/gBFdluTxFb/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part03.rar.html https://fikper.com/BLppdGYPFe/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part04.rar.html https://fikper.com/L1s5WREUaB/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part05.rar.html https://fikper.com/zEcwdyqpAI/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part06.rar.html https://fikper.com/jWQGJMM24s/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part07.rar.html https://fikper.com/C5mPkMMsDk/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part08.rar.html https://fikper.com/OZ0tOFbdWF/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part09.rar.html https://fikper.com/SQrNwRXY0L/sdpaz.CS.Primer..Algorithms.and.Data.Structures.part10.rar.html No Password - Links are Interchangeable

Free Download The Economy of Algorithms: AI and the Rise of the Digital Minions (Audiobook) English | ASIN: B0D5NSSRJL | 2024 | 7 hours and 58 minutes | M4B@64 kbps | 228 MB Author: Marek Kowalkiewicz Narrator: Stephen Perring Welcome to the economy of algorithms. It's here and it's growing. In the past few years, we have been flooded with examples of impressive technology. Algorithms have been around for hundreds of years, but they have only recently begun to 'escape' our understanding. When algorithms perform certain tasks, they're not just as good as us, they're becoming infinitely better, and, at the same time, massively more surprising. We are so impressed by what they can do that we give them a lot of agency. But because they are so hard to comprehend, this leads to all kinds of unintended consequences. In the 20th century, things were simple: we had the economy of corporations. In the first two decades of the 21st century, we saw the emergence of the economy of people, otherwise known as the digital economy, enabled by the internet. Now we're seeing a new economy take shape: the economy of algorithms. Rapidgator https://rg.to/file/c2ac2e33420ffa70409d2a1874c17f3e/s3djn.rar.html Fikper Free Download https://fikper.com/KIeDYYcYVR/s3djn.rar.html Links are Interchangeable - No Password - Single Extraction

Free Download George Galdorisi, Sam J. Tangredi, Robert O. Work - foreword, Lyle Blaker (Narrator), "Algorithms of Armageddon: The Impact of Artificial Intelligence on Future Wars" English | ASIN: B0D6NQ9G3B | 2024 | MP3@64 kbps | ~07:38:00 | 210 MB It is unclear if U.S. policy makers and military leaders fully realize that we have already been thrust into an artificial intelligence race with authoritarian powers. The United States' peer adversaries-China and Russia-have made clear their intentions to make major investments in AI and insert this technology into their military systems, sensors, and weapons. Algorithms of Armageddon examines this most pressing security issue in a clear, insightful delivery by two experts. The authors cover in depth debates surrounding the AI "genie out of the bottle" controversy, AI arms races, and the resulting impact on policy and the laws of war. Given that global powers are leading large-scale development of AI, it is likely that use of this technology will be global in extent. Will AI-enabled military weapons systems lead to full-scale global war? The later chapters of the work explore these questions, point to the possibility of humans failing to control military AI applications, and conclude that the dangers for the United States are real. Neither a protest against AI, nor a speculative work on how AI could replace humans, Algorithms of Armageddon provides a time-critical understanding of why AI is being implemented through state weaponization, the realities for the global power balance, and more importantly, U.S. national security. Rapidgator https://rg.to/file/489dffe5b9967795ab8f2025c63fd8c2/2p51h.rar.html Fikper Free Download https://fikper.com/qN1twLsCYI/2p51h.rar.html Links are Interchangeable - No Password - Single Extraction

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Machine Learning using Advanced Algorithms and Visualization in R Duration: 1h 15m | Video: h264, 1920x1080 | Audio: AAC, 44100 Hz, 2 Ch | 427 MB Genre: eLearning | Language: English Explore advanced algorithm concepts such as random forest vector machine, K- nearest, and more through real-world examples About This Video Work with advanced algorithms and techniques to enable efficient machine learning using the R programming language Explore concepts such as the random forest algorithm Work with support vector machine and examine and plot the results Find out how to use the K-Nearest Neighbor for data projection Work with a variety of real-world algorithms that suit your problem In Detail Machine learning is the subfield of computer science that gives computers the ability to learn without being explicitly programmed. It explores the study and construction of algorithms that can learn from and make predictions on data. The R language is widely used among statisticians and data miners to develop statistical software and data analysis. In this course, you will work through various examples on advanced algorithms, and focus a bit more on some visualization options. We'll start by showing you how to use random forest to predict what type of insurance a patient has based on their treatment and you will get an overview of how to use random forest/decision tree and examine the model. Then, we'll walk you through the next example on letter recognition, where you will train a program to recognize letters using a support Vector machine, examine the results, and plot a confusion matrix. After that, you will look into the next example on soil classification from satellite data using K-Nearest Neighbor where you will predict what neighborhood a house is in based on other data about it. Finally, you'll dive into the last example of predicting a movie genre based on its title, where you will use the tm package and learn some techniques for working with text data. Download From NitroFlare http://nitroflare.com/view/8DC2D97A5B95C42/xidau123_PacktPublishingMachineLearningusingAdvanced.rar Download From Rapidgator http://rapidgator.net/file/073a71d859dd35849f7ddcb234b63228/xidau123_PacktPublishingMachineLearningusingAdvanced.rar.html Download From UploadGig https://uploadgig.com/file/download/D0e57341a6DC020f/xidau123_PacktPublishingMachineLearningusingAdvanced.rar

Introduction to Algorithms in Swift MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 30 | 133 MB Genre: eLearning | Language: English Understand the science of solving problems efficiently. Succeed in your software developer job interview. Learn Swift. Understand the science of solving problems efficiently. Succeed in your software developer job interview. Learn Swift. I created this course to get you started with algorithms. This course will help you understand the importance of algorithms. Soon, you'll be able to solve problems more efficiently. I explain each concept using easy-to-understand examples. You'll not only learn how to implement more efficient code, but you'll also learn Swift, Apple's popular programming language. Beyond iOS and Mac development, Swift is going to become THE programming language for Web-development and systems programming. This course is a long-time investment! Computer algorithms have been developed and refined over the last couple of decades. The study of algorithms is fundamental to any programmer who plans to develop software system that is scalable and performant. Once we got past the basic "Hello World" beginner applications, we begin to realize that complex apps require a different approach. Our software that used to work nicely during our tests becomes incredibly slow and crashes frequently in real-world situations. The reason is that we haven't prepared our app for real-life usage: while it ran without issues with small datasets during our tests, it fails when reality kicks in. Algorithms are indispensable to building software that is capable of managing large amounts of data or to solve complex problems efficiently. Download link: http://rapidgator.net/file/f242e6148e28bd8c4d60cbd61b6c90d3/75m03.Introduction.to.Algorithms.in.Swift.rar.html http://nitroflare.com/view/0B21ADA4F3D8A93/75m03.Introduction.to.Algorithms.in.Swift.rar https://uploadgig.com/file/download/3b0C3d1db5f53bF7/75m03.Introduction.to.Algorithms.in.Swift.rar http://uploaded.net/file/uqlua5bz/75m03.Introduction.to.Algorithms.in.Swift.rar Links are Interchangeable - No Password - Single Extraction

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JavaScript the Basics for Beginners - Section 7: Algorithms MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | 428 MB Genre: eLearning | Language: English Course 7 - JavaScript Algorithms In this course you will cover: Indentify Unique Strings Identify Longest Word in a String Permutation of Two Strings Sum of Range Remove Elements From Head Palindrome Through our whole JavaScript the Basics for Beginners course series you will find this is your one stop necessary to enter into the language of JavaScript. We are going to start from scratch and build up our understanding of the world's most popular programming language together. View JavaScript in action with whiteboard videos optimized for viewing on your smartphone. This is truly a course that you can engage with no matter where you are. Take your JavaScript eduction on the go! With whiteboard videos you get to visualize what JavaScript does under the hood. You can practice JavaScript in your web browser! Take advantage of Google Chrome developer tools to put the JavaScript you have learned during our whiteboard lesson into practice with further examples and challenges. This is our JavaScript playground. Learning JavaScript is like learning a language. This course won't make a false promise of saying you will master JavaScript overnight. However, this course will immerse you into the world's most popular programming language. Each course will introduce you to something new in JavaScript : JavaScript Syntax JavaScript Building Blocks JavaScript Best Practices JavaScript Objects JavaScript Arrays JavaScript Regular Expressions JavaScript Functional Programming JavaScript Algorithms JavaScript Data Structures JavaScript ES6 Syntax You'll finish this course with an understanding of JavaScript that will let you take a deeper dive into the language and possibly launch you into a new career as a JavaScript web developer. Learning a new language can be difficult and even feel intimidating. JavaScript the Basics makes the the learning process feel accessible and welcoming! Download link: http://rapidgator.net/file/1839c82ad6e40f8c47e8e0ddb455de6c/2kvd0.JavaScript.the.Basics.for.Beginners..Section.7.Algorithms.rar.html]2kvd0.JavaScript.the.Basics.for.Beginners..Section.7.Algorithms.rar.html http://nitroflare.com/view/AA6C071BE322098/2kvd0.JavaScript.the.Basics.for.Beginners..Section.7.Algorithms.rar]2kvd0.JavaScript.the.Basics.for.Beginners..Section.7.Algorithms.rar http://uploaded.net/file/m2vgvfc0/2kvd0.JavaScript.the.Basics.for.Beginners..Section.7.Algorithms.rar]2kvd0.JavaScript.the.Basics.for.Beginners..Section.7.Algorithms.rar https://www.bigfile.to/file/25De44e6cMnF/2kvd0.JavaScript.the.Basics.for.Beginners..Section.7.Algorithms.rar]2kvd0.JavaScript.the.Basics.for.Beginners..Section.7.Algorithms.rar Links are Interchangeable - No Password - Single Extraction

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Udemy - Comprehensive Algorithms ! .MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 64 kbps, 2 Ch | 26 Lectures | 3 hours | 285 MB Instructor: Jordan Hudgens This course provides a comprehensive overview of the concepts of algorithm analysis and development. This course provides a comprehensive overview of the concepts of algorithm analysis and development. I attempted to make the course as straightforward as possible, to the point where no previous experience in algorithm analysis or formal computer science education is required. The videos review popular algorithms such as merge sort, radix sort, Huffman coding, and many more, along with some of the data structures that are utilized in combination with these algorithms, such as queues and stacks. I also review a number of graph algorithms and give introductions to additional advanced algorithm analysis concepts. I developed this course while I was taking a graduate level Analysis of Algorithms course from Texas Tech University, and these are all the main topics that we discussed. What am I going to get from this course? Over 26 lectures and 3 hours of content! By the end of this course you will have a thorough understanding of some of the most popular algorithms and data structures http://www.nitroflare.com/view/91323FC4DFCC9DD/ttorz.Udemy..Comprehensive.Algorithms.part1.rar http://www.nitroflare.com/view/47F08073C9894DE/ttorz.Udemy..Comprehensive.Algorithms.part2.rar http://rapidgator.net/file/7465e072473b3cd399b59be6eb0fb5c1/ttorz.Udemy..Comprehensive.Algorithms.part1.rar.html http://rapidgator.net/file/7cc2370afa0b0730270807aae49ed900/ttorz.Udemy..Comprehensive.Algorithms.part2.rar.html https://www.uploadable.ch/file/RWGhGEQjdEC6/ttorz.Udemy..Comprehensive.Algorithms.part1.rar https://www.uploadable.ch/file/mmjhvvq3Sdny/ttorz.Udemy..Comprehensive.Algorithms.part2.rar

Udemy - Algorithms and Data Structures in Java ! MP4 | Video: 1280x720 | 55 kbps | 44 KHz | Duration: 8 Hours | 1.67 GB Genre: eLearning | Language: English Learn how to solve complex problems in Java This course is about data structures and algorithms. We are going to implement the problems in Java, but I try to do it as generic as possible: so the core of the algorithms can be used in C++ or Python. The course takes approximately 5 hours to complete. I highly recommend typing out these data structures several times on your own in order to get a good grasp of it. In the first part of the course we are going to learn about basic data structures such as linked lists, stacks and queues, heaps and some advanced ones such as hash tables and ternary search trees. The second part will be about data compression. We will try to optimize each data structure ( for example avoiding obsolete references ) as much as possible. Read more: In each chapter I am going to talk about the theoretical background of each algorithm or data structure, then we are going to write the code step by step in Eclipse, Java. Most of the advanced algorithms relies heavily on these topics so it is definitely worth understanding the basics. These prin[beeep]les can be used in several fields: in investment banking, artificial intelligence or electronic trading algorithms on the stock market. What are the requirements? Core java Eclipse or other IDE What am I going to get from this course? Over 65 lectures and 8 hours of content! grasp the fundamentals of algorithms and data structures develop your own algorithms that best fit to the personal need detect non-optimal code snippets What is the target audience? 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Udemy : Data Structures and Algorithms in Java MP4 | Video: 1280x720 | 45 kbps | 44 KHz | Duration: 9 Hours | 1.08 GB Genre: eLearning | Language: English Learn Data Structures and Algorithms in Java to provide efficient solutions to complex problems This course will help you develop a strong background in Data Structures and Algorithms. The course is broken down into easy to assimilate short lectures, and after each topic there is a quiz that can help you to test your newly acquired knowledge. The examples are explained with animations to simplify the learning of this complex topic. Complete working programs are shown for each concept that is explained. This course provides a comprehensive explanation of data structures like linked lists, stacks and queues, binary search trees, heap. Various sorting algorithms with implementation and analysis are included. Concept of recursion is very important for designing and understanding certain algorithms so the process of recursion is explained with the help of several examples. Throughout the course, a step by step approach is followed to make you understand different Data Structures and Algorithms. Through this course you can build a strong foundation in Data Structures and Algorithms that can help you to crack coding interviews and work in the industry. In this course, Java language is used for implementing various Data Structures and Algorithms, but you can easily implement them in any other language like C++, C#, or Python. What are the requirements? Basic knowledge of programming in any language What am I going to get from this course? Over 129 lectures and 8.5 hours of content! Over 100 Quiz questions Ability to analyse algorithms Knowledge of basic Data Structures and various sorting algorithms Ability to write and trace recursive algorithms Ability to write programs for different Data Structures and Algorithms Confidence to face programming interviews What is the target audience? Programmers looking for jobs Programmers wanting to write efficient code Computer Science students having Data Structures as part of their curriculum Non Computer science students wanting to enter IT industry http://rapidgator.net/file/5a4ac48cc870fe63ec0f850260e766c6/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part1.rar.html http://rapidgator.net/file/d753a6ca3c33a89d55eb83930f94eab7/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part2.rar.html http://rapidgator.net/file/af3285c52a9963e6c8c3476b1e7a6962/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part3.rar.html http://rapidgator.net/file/69cb77ee3afc44046fd73052e0166dec/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part5.rar.html http://rapidgator.net/file/d25a333ae90ee9e7c82f701d3259b94c/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part4.rar.html http://rapidgator.net/file/f53e1296e15d4f168f54eae13febcfa8/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part6.rar.html http://www.nitroflare.com/view/9B8B5B37EF4DF6B/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part1.rar http://www.nitroflare.com/view/F5A846829C4C7B1/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part2.rar http://www.nitroflare.com/view/749EA837097DA5C/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part3.rar http://www.nitroflare.com/view/37DCE78F3617010/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part4.rar http://www.nitroflare.com/view/3616FBF959E7183/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part5.rar http://www.nitroflare.com/view/E8D3ABE5BDA6013/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part6.rar http://www.uploadable.ch/file/zaUPTmq8abC5/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part1.rar http://www.uploadable.ch/file/6UAXDFUbuKd5/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part2.rar http://www.uploadable.ch/file/TZdZZM9sRc7N/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part3.rar http://www.uploadable.ch/file/QMeUXs6t6cMQ/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part4.rar http://www.uploadable.ch/file/nq7VU95nSfcY/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part5.rar http://www.uploadable.ch/file/nAJPVN9e5Fqn/2s77d.Udemy..Data.Structures.and.Algorithms.in.Java.part6.rar

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