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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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pdf | 123.08 MB | English | Isbn:9781633438835 | Author: Alaa Khamis | Year: 2024 About ebook: Optimization Algorithms: AI techniques for design, planning, and control problems Category:Computers, Science & Technology, Engineering, Technology, Artificial Intelligence (AI), Robotics & Artificial Intelligence, Computer Programming, Programming Languages, Artificial Intelligence - General, Programming - General & Miscellaneous, Scripting Languages, Python (Computer program language) https://rapidgator.net/file/0a6719d2ef33337515cfef23fa9c5094/ https://nitroflare.com/view/7381742DB2969EE/

pdf | 20.92 MB | English | Isbn:9780128218020 | Author: Maged Marghany | Year: 2021 About ebook: Advanced Algorithms for Mineral and Hydrocarbon Exploration Using Synthetic Aperture Radar https://rapidgator.net/file/ee1c96938389da29c112968a40024484/ https://nitroflare.com/view/7FA83DE66F061DD/

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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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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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