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Free Download Python Data Processing and Visualization Published 10/2024 Created by Studio 01 App MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 42 Lectures ( 1h 10m ) | Size: 471 MB Master Data Manipulation and Visualization with Python What you'll learn: Understand how to manipulate data using Python's core libraries, such as Pandas and NumPy. Create compelling visualizations to communicate insights effectively using Matplotlib and Plotly. Apply data processing techniques to clean and transform data into a usable format. Gain the ability to identify data patterns and present them clearly through visual storytelling. Requirements: Basic knowledge of Python programming is recommended but not required. A willingness to learn and experiment with new tools and techniques. Description: This comprehensive course is designed to take you on an in-depth journey through the world of data processing and visualization using Python.Starting from the basics, we will introduce you to the essential concepts of data manipulation, focusing on powerful libraries like Pandas, NumPy, and others.Throughout the course, we will provide hands-on exercises and real-world examples, ensuring that you gain practical skills to work with different types of data, including structured and unstructured formats.Our focus will then shift to the art of data visualization, where you will explore how to present your data in visually engaging formats using popular libraries such as Matplotlib, Seaborn, and Plotly.The course will cover various chart types, including line charts, bar charts, histograms, scatter plots, heatmaps, and more, helping you understand when and how to use each type effectively.Whether you are a beginner looking to develop core data processing skills or an experienced professional seeking to expand your visualization toolkit, this course provides everything you need to succeed in modern data analysis.By the end of this course, you will be fully equipped to clean, process, analyze, and visualize data, providing valuable insights and making informed decisions based on your analyses. Who this course is for: Aspiring data analysts, data scientists, and professionals interested in enhancing their data processing skills. Anyone looking to improve their ability to analyze and visualize data for better decision-making. Homepage https://www.udemy.com/course/python-data-processing-visualization/ Rapidgator https://rg.to/file/604a618fe4c8df591dd19b6b1574ee13/nlrwz.Python.Data.Processing.and.Visualization.rar.html Fikper Free Download https://fikper.com/2ddzPt6TDx/nlrwz.Python.Data.Processing.and.Visualization.rar.html No Password - Links are Interchangeable

Free Download Natural Language Processing With Cutting Edge Models Published 10/2024 Created by Zeeshan Ahmad MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 195 Lectures ( 27h 6m ) | Size: 9.2 GB NLP : NLTK, Machine and Deep Learning for NLP, Word Embeddings, Markov Model, Transformers, Generative AI for text What you'll learn Text Preprocessing and Text Vectorization Machine Learning Methods for Text Classification Neural Networks for Text Classification Sentiment Analysis and Spam Detection Topic Modeling Word Embeddings and Neural Word Embeddings Word2Vec and GloVe Generative AI for Text data Markov Models for Text Generation Recurrent Neural Networks and LSTM Seq2Seq Networks for Text Generation Machine Translation Transformers Requirements Some Python Programming Knowledge Some knowledge about machine learning is preferred Description Hi everyone,This is a massive 3-in-1 course covering the following:1. Text Preprocessing and Text Vectorization2. Machine Learning and Statistical Methods3. Deep Learning for NLP and Generative AI for text.This course covers all the aspects of performing different Natural Language processing using Machine Learning Models, Statistical Models and State of the art Deep Learning Models such as LSTM and Transformers.This course will set the foundation for learning the most recent and groundbreaking topics in AI related Natural processing tasks such as Large Language Models, Diffusion models etc.This course includes the practical oriented explanations for all Natural Language Processing tasks with implementation in PythonSections of the Course· Introduction of the Course· Introduction to Google Colab· Introduction to Natural Language Processing· Text Preprocessing· Text Vectorization· Text Classification with Machine Learning Models· Sentiment Analysis· Spam Detection· Dirichlet Distribution· Topic Modeling· Neural Networks· Neural Networks for Text Classification· Word Embeddings· Neural Word Embeddings· Generative AI for NLP· Markov Model for Text Generation· Recurrent Neural Networks ( RNN )· Sequence to sequence Networks· Transformers· Bidirectional LSTM· Python RefresherWho this course is for:· Students enrolled in Natural Language processing course.· Beginners who want to learn Natural Language Processing from fundamentals to advanced level· Researchers in Artificial Intelligence and Natural Language Processing.· Students and Researchers who want to develop Python Programming skills while solving different NLP tasks.· Want to switch from Matlab and Other Programming Languages to Python. Who this course is for Students enrolled in Natural Language processing course. Beginners who want to learn Natural Language Processing from fundamentals to advanced level Researchers in Artificial Intelligence and Natural Language Processing. Students and Researchers who want to develop Python Programming skills while solving different NLP tasks. 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Free Download Data Processing and Information Technology Published 10/2024 Created by Emmanuel Adams MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 70 Lectures ( 3h 14m ) | Size: 1.66 GB Practical Skills in Data Analysis, Computer Hardware Configuration and More What you'll learn 1.1 Define the Computer. 1.2 Narrate the historical development of the Computer. 1.3 Classify computer according to generation from the 1st to the 5th generations (and any other generation). 1.4 Distinguish among analog, digital and hybrid computers. 1.5 Explain the social implications of computers on society 1.6 List the benefits of computers to the society 1.7 Explain the various control measures to counter the disadvantages of using a computer. Section 2: Understand Computer Operating Systems and Software 2.1 Describe the computer hardware configuration. 2.2 Identify the basic components of a computer 2.3 Describe the unit of memory storage. 2.4 Describe the computer software. 2.5 Distinguish between systems software and Applications software 2.6 Distinguish between software and hard ware. 2.7 Explain Microsoft Window. 2.8 Demonstrate the use of all the items in the desktop 2.9 Perform operation using warm and cool booting 2.10 Demonstrate the use of task bar and the start button 2.11 Demonstrate the use of the features of window 2.12 Demonstrate different ways of logging on to window. Section 3: Know the principles and methods of data processing 3.1 Define Data processing. 3.2 Explain the methods of data processing 3.3 Explain the stages of data processing. 3.4 Explain the various types of data processing techniques. Section 4: Understand the principles of data management 4.1 Explain the various methods of data collection. 4.2 Explain the various methods of data preparation. 4.3 Explain the various methods of data validation. 4.4 Explain methods of transmitting data. 5.1 Explain Data Communication. 5.2 Explain Data Transmission. 5.3 Explain Internet, EMail, E-Commerce, etc. Section 5: Understand system concept 5.1 Define a system 5.2 Classify systems into manual and automated. 5.3 Compare systems in manual and automated system 5.4 List examples of manual and automated systems Section 6: Know the various stages of system analysis 6.1 Define system analysis 6.2 List the stages of system development 6.3 Explain system planning, control and co-ordination. Section 7: Understand system design. 7.1 Explain system design. 7.2 Explain system specification. 7.3 List tools of system specification 7.4 Explain programme specification. 7.5 List the tools of programming. 7.6 Explain system documentation. (input, output, processing access made) and standards. Section 8 Understand word processing packages and their applications to business Requirements No prior computer knowledge required Description In today's fast-paced digital world, understanding the fundamentals of data processing and information technology is essential for anyone looking to excel in the tech industry. This comprehensive course is designed to equip you with the knowledge and skills needed to effectively manage, analyze, and process data using various information technologies.What You'll Learn:Introduction to ICT: Begin your journey with a solid foundation in Information Communication Technology, exploring its significance and applications.Operating Systems & Software: Gain insights into different computer operating systems, software types, and their roles in data processing.Data Processing Principles: Understand the core principles and methods of data processing, and how they are applied in real-world scenarios.Data Management: Learn the techniques for managing data effectively, ensuring data integrity, security, and accessibility.System Concepts & Analysis: Delve into system concepts, including the stages of system analysis and design, to streamline processes and improve efficiency.Word Processing & Spreadsheets: Discover the practical applications of word processing and spreadsheet software in business, enhancing your productivity and decision-making capabilities.Why Enroll?Whether you're a student, aspiring IT professional, or someone looking to improve your data processing skills, this course offers a structured approach to mastering essential ICT concepts. With clear explanations, practical examples, and hands-on exercises, you'll be well-prepared to tackle the challenges of the digital age.Course Features:Comprehensive Content: 10 detailed sections covering all aspects of data processing and information technology.Expert Instruction: Learn from industry professionals with years of experience in the field.Flexible Learning: Study at your own pace with lifetime access to the course materials.Certification: Receive a certificate upon successful completion to boost your resume and career prospects.Join now and take the first step towards becoming proficient in data processing and information technology! 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Free Download Asynchronous AI Image Processing with Azure in ASP.NET Core Published 10/2024 Created by Sandeep MVN MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 5 Lectures ( 1h 50m ) | Size: 1.14 GB Case Study:- Master the art of building asynchronous background processing systems with Azure and other cloud services. What you'll learn Introduction to Azure and Asynchronous Architecture Setting Up and Understanding Blob Storage & Queue Triggers Real-life case studies on asynchronous processes and image analysis Enhancing Image Processing with AI Analysis Requirements C# ASP NET Core MVC Description In this course, you will dive deep into building asynchronous image processing systems using Azure Functions, Azure Blob Storage, and other key cloud services. As businesses and applications increasingly rely on processing large datasets, understanding how to manage these workloads asynchronously is crucial. This course offers a step-by-step approach, starting with the basics of Functions and blob storage for uploading images and moving on to advanced concepts such as queue triggers and asynchronous workflows.We will explore real-world case studies, such as building scalable systems to process image uploads in an asynchronous manner, enhancing performance, and managing large volumes of data. You'll learn to secure sensitive information using Azure Key Vault and integrate databases for storing image metadata. The course also covers optimizing and scaling workflows to handle thousands of requests efficiently, leveraging AI tools for image analysis, and deploying Azure Functions with monitoring for performance.Whether you're just starting out with Azure or want to take your cloud computing skills to the next level, this course offers everything you need to become proficient in building cloud-based background processing systems on Azure.How do you set up Azure functions for image processing and best practices for using blob storage and? Who this course is for Cloud Developers: Developers who want to learn how to build scalable, efficient asynchronous systems using Azure Functions and other cloud services. Software Engineers: Engineers seeking to expand their knowledge of cloud architecture, image processing, and handling large datasets asynchronously. Aspiring Cloud Architects: Individuals who are looking to design cloud-based solutions with a focus on performance optimization and scalable workflows. IT Professionals: Those in the IT field who are responsible for deploying, managing, or optimizing cloud infrastructure and services on Azure. Web Developers: Developers looking to integrate Azure services, such as blob storage, queue triggers, and serverless functions, into their web applications. Students and Enthusiasts: Those interested in learning about cloud computing and gaining hands-on experience with Azure technologies. Homepage https://www.udemy.com/course/building-asynchronous-imagebackground-processing-with-azure/ Screenshot Rapidgator https://rg.to/file/358713ef9f796ffc0ade8b174b452c14/sdejt.Asynchronous.AI.Image.Processing.with.Azure.in.ASP.NET.Core.part2.rar.html https://rg.to/file/608b74072c0bf0dafdd6f22577d82155/sdejt.Asynchronous.AI.Image.Processing.with.Azure.in.ASP.NET.Core.part1.rar.html Fikper Free Download https://fikper.com/YbyJQOXLO9/sdejt.Asynchronous.AI.Image.Processing.with.Azure.in.ASP.NET.Core.part2.rar.html https://fikper.com/rKLk1MFWDG/sdejt.Asynchronous.AI.Image.Processing.with.Azure.in.ASP.NET.Core.part1.rar.html No Password - Links are Interchangeable

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Free Download Natural Language Processing for Speech and Text From Beginner to Advanced Released 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 3h 9m | Size: 240 MB With the recent surge in large language models, it's particularly relevant to explore the evolution of NLP techniques, from traditional methods to current industry standards. In this course, Wuraola Oyewusi-an experienced data scientist and machine learning and artificial intelligence professional-helps you build a strong foundation in natural language processing (NLP) concepts and addresses the end-to-end application of NLP. Learn about both text and speech data while you explore the theoretical background of NLP concepts, the historical evolution of NLP techniques, and current applications of NLP representation techniques for both text and speech data. Dive into code-based practice exercises for preprocessing techniques and tasks for both text and speech data. Plus, check out a wide range of Python libraries, including NLTK, spaCy, Hugging Face, Transformers, librosa, scikit-learn, gensim, and torchaudio. Homepage https://www.linkedin.com/learning/natural-language-processing-for-speech-and-text-from-beginner-to-advanced TakeFile https://takefile.link/1ho9c67dxcsm/niysy.Natural.Language.Processing.for.Speech.and.Text.From.Beginner.to.Advanced.rar.html Rapidgator https://rg.to/file/1f585f4e125382ef84a4162a718abe05/niysy.Natural.Language.Processing.for.Speech.and.Text.From.Beginner.to.Advanced.rar.html Fikper Free Download https://fikper.com/bFn9X9OgiH/niysy.Natural.Language.Processing.for.Speech.and.Text.From.Beginner.to.Advanced.rar.html No Password - Links are Interchangeable

Free Download Raster Data Processing and Analysis with ArcGIS Pro Published 9/2024 Created by Tarık Emre Yorulmaz MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 23 Lectures ( 1h 19m ) | Size: 1 GB Master raster data management What you'll learn: You will understand the structure of raster data You will be able to analyze digital terrain models You will be able to assign coordinate information to scanned sheets. You will be able to edit the appearance of raster data with symbology tools With conditional toolset, you will be able to define various conditions for the data and control the data. You will be able to perform statistical analysis using pixel values of raster data. Requirements: You must have ArcGIS Pro software. You can use the trial version if necessary. You must have basic knowledge of Geographic Information Systems. Description: With this course, you will specialize in managing raster data. In my basic level training, we mainly used vector data, that is, data in point, line and polygon formats. Raster data, which forms the basis of Geographic Information System studies together with vector data, is very important for geographical analyses.With this course, which is a continuation of the Basic Level Training, you will understand the structure of raster data, prepare them for your analyses and analyze them using various tools. In addition, this course will be very useful for you to understand why you are doing what you are doing.In addition, since aerial photographs and satellite images are also in raster format, understanding the structure of raster data will be very useful in remote sensing studies.Within the scope of the training, you will have information on the following topics;- Definition of raster data, structure, raster data types, different formats, sample raster data- Introduction to digital terrain model, difference from digital surface model, examination on map- Assigning coordinate information to printed sheets in digital environment with geo-referencing and displaying in correct position- General information about contour lines, generation of contour lines from digital terrain model- Definition and structure of TIN data, generation of TIN data using contour lines- Production of maps representing terrain surface such as slope and aspect using digital terrain model- Defining various conditions to raster data with conditional analyses and checking the data according to these conditions- Various statistical analyses using pixel values of raster data with Focal Statistics and other tools Who this course is for: Geography and Urban and Regional Planning, Architecture, Map - Construction - Forestry - Mining - Geology - Environmental Engineering students Homepage https://www.udemy.com/course/raster-data-processing-and-analysis-with-arcgis-pro/ Rapidgator https://rg.to/file/871b2ec3e477bda0897cbeb907a6ac89/qawcs.Raster.Data.Processing.and.Analysis.with.ArcGIS.Pro.part1.rar.html https://rg.to/file/c3eb908587ea3e8382ceb49202f3b837/qawcs.Raster.Data.Processing.and.Analysis.with.ArcGIS.Pro.part2.rar.html Fikper Free Download https://fikper.com/2Wm9KWXB3b/qawcs.Raster.Data.Processing.and.Analysis.with.ArcGIS.Pro.part1.rar.html https://fikper.com/zn95EeBG0O/qawcs.Raster.Data.Processing.and.Analysis.with.ArcGIS.Pro.part2.rar.html No Password - Links are Interchangeable

Free Download Deep Learning for Natural Language Processing, Video Edition Released 10/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 5h 48m | Size: 838 MB Explore the most challenging issues of natural language processing, and learn how to solve them with cutting-edge deep learning! Inside Deep Learning for Natural Language Processing you'll find a wealth of NLP insights, including An overview of NLP and deep learning One-hot text representations Word embeddings Models for textual similarity Sequential NLP Semantic role labeling Deep memory-based NLP Linguistic structure Hyperparameters for deep NLP Deep learning has advanced natural language processing to exciting new levels and powerful new applications! For the first time, computer systems can achieve "human" levels of summarizing, making connections, and other tasks that require comprehension and context. Deep Learning for Natural Language Processing reveals the groundbreaking techniques that make these innovations possible. Stephan Raaijmakers distills his extensive knowledge into useful best practices, real-world applications, and the inner workings of top NLP algorithms. About the Technology Deep learning has transformed the field of natural language processing. Neural networks recognize not just words and phrases, but also patterns. Models infer meaning from context, and determine emotional tone. Powerful deep learning-based NLP models open up a goldmine of potential uses. About the Book Deep Learning for Natural Language Processing teaches you how to create advanced NLP applications using Python and the Keras deep learning library. You'll learn to use state-of the-art tools and techniques including BERT and XLNET, multitask learning, and deep memory-based NLP. Fascinating examples give you hands-on experience with a variety of real world NLP applications. Plus, the detailed code discussions show you exactly how to adapt each example to your own uses! What's Inside Improve question answering with sequential NLP Boost performance with linguistic multitask learning Accurately interpret linguistic structure Master multiple word embedding techniques About the Reader For readers with intermediate Python skills and a general knowledge of NLP. No experience with deep learning is required. About the Author Stephan Raaijmakers is professor of Communicative AI at Leiden University and a senior scientist at The Netherlands Organization for Applied Scientific Research (TNO). Homepage ? Explore the most challenging issues of natural language processing, and learn how to solve them with cutting-edge deep learning! TakeFile https://takefile.link/np3uzk1yejmp/nkqih.Deep.Learning.for.Natural.Language.Processing.Video.Edition.rar.html Rapidgator https://rg.to/file/239c455aecf3e5ad6e670e41dffa2f6f/nkqih.Deep.Learning.for.Natural.Language.Processing.Video.Edition.rar.html Fikper Free Download https://fikper.com/T55RNPIWWu/nkqih.Deep.Learning.for.Natural.Language.Processing.Video.Edition.rar.html No Password - Links are Interchangeable

Free Download Getting Started with Natural Language Processing with Python Duration: 1h 43m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 207 MB Genre: eLearning | Language: English This course is all about taking raw text data and deriving insights and value from it--processing text data using standard techniques in Natural Language Processing and Machine Learning. Text data is available in abundance on the Internet, whether it be reviews, tweets, surveys, web pages or emails. Natural language processing is a powerful skill that helps you derive immense value from that data. In this course, Getting Started with Natural Language Processing with Python, you'll first learn about using the Natural Language Toolkit to pre-process raw text. Next, you'll learn how to scrape websites for texting using BeautifulSoup, as well as how to auto-summarize text using machine learning. You'll wrap up the course by exploring how to classify text using machine learning. By the end of this course you'll be able to confidently process raw text data and apply machine learning algorithms to it. Homepage https://www.pluralsight.com/courses/python-natural-language-processing TakeFile https://takefile.link/orc6850himsb/dzvmx.Getting.Started.with.Natural.Language.Processing.with.Python.rar.html Rapidgator https://rg.to/file/25968232a515f2a42860547c96544e91/dzvmx.Getting.Started.with.Natural.Language.Processing.with.Python.rar.html Fikper Free Download https://fikper.com/lmEO7XacC6/dzvmx.Getting.Started.with.Natural.Language.Processing.with.Python.rar.html No Password - Links are Interchangeable

Free Download Applying Real-time Processing Using Apache Storm Duration: 2h 15m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 320 MB Genre: eLearning | Language: English Storm lets you to work with large scale streaming data using it's distributed real-time processing architecture. This course discusses the components of Storm topologies and how to use Storm for applying machine learning in real-time. Storm is meant to be to used for distributed real-time processing, the way Hadoop is used for distributed batch processing. With Storm, you can process informations such as trends and breaking news and react to it in real-time. In this course, Applying Real-time Processing Using Apache Storm, you'll learn how to apply Storm for real-time processing. First, you'll discover how to set up a data processing pipeline using Storm topologies. Next, you'll explore parallelization by controlling data flows between components. Then, you'll cover how to perform complex data transforms using the Trident API. Finally, you'll learn how to apply machine learning models in real-time. By the end of this course, you'll be able to build your own Storm applications for different real-time processing tasks. Homepage https://www.pluralsight.com/courses/apache-storm-applying-real-time-processing-using TakeFile https://takefile.link/mnb2if85wsto/kbkyq.Applying.Realtime.Processing.Using.Apache.Storm.rar.html Rapidgator https://rg.to/file/0b30dbc46c62e360334b56cb3e6663e3/kbkyq.Applying.Realtime.Processing.Using.Apache.Storm.rar.html Fikper Free Download https://fikper.com/aZM9na20l1/kbkyq.Applying.Realtime.Processing.Using.Apache.Storm.rar.html No Password - Links are Interchangeable

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Free Download Getting Started with Natural Language Processing, Video Edition Released 10/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 15h 2m | Size: 2.52 GB Hit the ground running with this in-depth introduction to the NLP skills and techniques that allow your computers to speak human. In Getting Started with Natural Language Processing you'll learn about Fundamental concepts and algorithms of NLP Useful Python libraries for NLP Building a search algorithm Extracting information from raw text Predicting sentiment of an input text Author profiling Topic labeling Named entity recognition Getting Started with Natural Language Processing is an enjoyable and understandable guide that helps you engineer your first NLP algorithms. Your tutor is Dr. Ekaterina Kochmar, lecturer at the University of Bath, who has helped thousands of students take their first steps with NLP. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. If you're a beginner to NLP and want to upgrade your applications with functions and features like information extraction, user profiling, and automatic topic labeling, this is the book for you. About the Technology From smart speakers to customer service chatbots, apps that understand text and speech are everywhere. Natural language processing, or NLP, is the key to this powerful form of human/computer interaction. And a new generation of tools and techniques make it easier than ever to get started with NLP! About the Book Getting Started with Natural Language Processing teaches you how to upgrade user-facing applications with text and speech-based features. From the accessible explanations and hands-on examples in this book you'll learn how to apply NLP to sentiment analysis, user profiling, and much more. As you go, each new project builds on what you've previously learned, introducing new concepts and skills. Handy diagrams and intuitive Python code samples make it easy to get started-even if you have no background in machine learning! What's Inside Fundamental concepts and algorithms of NLP Extracting information from raw text Useful Python libraries Topic labeling Building a search algorithm About the Reader You'll need basic Python skills. No experience with NLP required. About the Author Ekaterina Kochmar is a lecturer at the Department of Computer Science of the University of Bath, where she is part of the AI research group. https://www.oreilly.com/library/view/getting-started-with/9781617296765AU/ TakeFile https://takefile.link/llm2y5rgzhp8/mpszu.Getting.Started.with.Natural.Language.Processing.Video.Edition.part1.rar.html https://takefile.link/axqfbert2cu3/mpszu.Getting.Started.with.Natural.Language.Processing.Video.Edition.part2.rar.html https://takefile.link/q8gw6ziyjqr5/mpszu.Getting.Started.with.Natural.Language.Processing.Video.Edition.part3.rar.html Rapidgator http://peeplink.in/d0c15001fee5 Fikper Free Download https://fikper.com/C6xEaRG55P/mpszu.Getting.Started.with.Natural.Language.Processing.Video.Edition.part1.rar.html https://fikper.com/xdeaUpCrwI/mpszu.Getting.Started.with.Natural.Language.Processing.Video.Edition.part2.rar.html https://fikper.com/FK3j8N076Q/mpszu.Getting.Started.with.Natural.Language.Processing.Video.Edition.part3.rar.html No Password - Links are Interchangeable

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OpenCV 3 - Getting started with Image processing Size: 637.40 MB | Duration: 2 hours | Video: AVC (.mp4) 1920x1080 25fps | Audio: AAC 44KHz 2ch Genre: eLearning | Language: English Videos to help you build computer vision applications that make the most of the popular C++ library OpenCV 3! About This Video * Install OpenCV library * Access pixel values * Scan an image with pointers and neighbor access * Compare colors using the strategy design pattern * Segment an image with the GrabCut algorithm * Represent colors with hue, saturation, and brightness * Compute and Equalize image histogram * Retrieve similar images using the histogram comparison In Detail Making your applications see has never been easier with OpenCV. With it, you can teach your robot how to follow your cat, write a program to correctly identify the members of One Direction, or even help you find the right colors for your redecoration. This course provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be presented with a variety of computer vision algorithms and exposed to important concepts in image analysis that will enable you to build your own computer vision applications. This video helps you to get started with the library, and shows you how to install and deploy the OpenCV library to write effective computer vision applications following good programming practices. You will learn how to read and display images. It also introduces the basic OpenCV data structures. Moving on, you will see how to manipulate pixels, and how an image can be read. This section explores different methods to scan an image in order to perform an operation on each of its pixels. After that, you will find out how to process the colors of an image, where you'll be presented with various object-oriented design patterns that will help you to build better computer vision applications. This section also shows you the concept of colors in images. Finally, you'll discover how to count pixels with histograms, how to compute image histograms, and how they can be used to modify an image. This section presents different applications based on histograms so you can achieve image segmentation, object detection, and image retrieval. Download link: http://rapidgator.net/file/c88f81b9792d701c8e005ff8011c6d45/n7cqz.OpenCV.3..Getting.started.with.Image.processing.rar.html http://nitroflare.com/view/E5591E3C691FF94/n7cqz.OpenCV.3..Getting.started.with.Image.processing.rar https://uploadgig.com/file/download/B0655a20f1ef593d/n7cqz.OpenCV.3..Getting.started.with.Image.processing.rar http://uploaded.net/file/pezfvla4/n7cqz.OpenCV.3..Getting.started.with.Image.processing.rar Links are Interchangeable - No Password - Single Extraction

JSON Processing with Java EE Size: 202 MB | Duration: 1h 4m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch Genre: eLearning | Level: Advanced | Language: English JSON is a ubiquitous and lightweight data transfer format used for the storage and interchange of information in an organized and human-readable manner. It is commonly used as the data format of choice in microservices, RESTful APIs, and NoSQL data stores. Knowing how to manipulate JSON is crucial knowledge for any developer. In this course, discover how to use the Java Enterprise Edition (EE) JSON-Processing API. With its two programming models, JSON-Processing is one of the simplest ways to generate, query, and parse JSON data, and you'll find that implementing it in your projects is quick and easy. Join Alex Theedom as he covers an array of topics, including how to use both the object model and the streaming model, how to traverse a JSON structure, and how to parse JSON data using the extensive builder APIs. When you wrap up this course, you'll be ready to develop with this essential and powerful API. Topics include: * Working with JSON and Java * JSON-Processing API features * The Java EE JSON object model * Creating a model from a JSON string * Building a JSON model * Traversing the JSON model * Outputting the JSON model to a data stream * Parsing and writing JSON data Download From NitroFlare http://nitroflare.com/view/EA294FF8A0ABBD1/LyndaJSONProcessingwithJavaEE.rar Download From Rapidgator http://rapidgator.net/file/a95fbf4eac41fdfd17a5b002f73e20c2/LyndaJSONProcessingwithJavaEE.rar.html Download From UploadGig https://uploadgig.com/file/download/b8b43ceb258e1f91/LyndaJSONProcessingwithJavaEE.rar

Big Data Processing using Apache Spark MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 278 MB Genre: eLearning | Language: English Every year we have a big increment of data that we need to store and analyze. When we want to aggregate all data about our users and analyze that data to find insights from it, terabytes of data undergo processing. To be able to process such amounts of data, we need to use a technology that can distribute multiple computations and make them more efficient. Apache Spark is a technology that allows us to process big data leading to faster and scalable processing. In this course, we will learn how to leverage Apache Spark to be able to process big data quickly. We will cover the basics of Spark API and its architecture in detail. In the second section of the course, we will learn about Data Mining and Data Cleaning, wherein we will look at the Input Data Structure and how Input data is loaded In the third section we will be writing actual jobs that analyze data. By the end of the course, you will have sound understanding of the Spark framework which will help you in writing the code understand the processing of big data. Download link: http://rapidgator.net/file/f8d87e1669df0aaf2c31be08d95e4b32/0y83t.Big.Data.Processing.using.Apache.Spark.rar.html http://nitroflare.com/view/136929F0B21F9A0/0y83t.Big.Data.Processing.using.Apache.Spark.rar https://uploadgig.com/file/download/Cf1b17D632a2183A/0y83t.Big.Data.Processing.using.Apache.Spark.rar http://uploaded.net/file/6amoumav/0y83t.Big.Data.Processing.using.Apache.Spark.rar Links are Interchangeable - No Password - Single Extraction

Automated Data Processing with PyQGIS MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | 844 MB Genre: eLearning | Language: English QGIS is a desktop geographic information system that facilitates data viewing, editing, and analysis. QGIS, paired with the most efficient scripting language, Python, enables us to write effective scripts that extend the core functionality of QGIS. Based on version QGIS 2.18, this book will teach you how to write Python code that works with spatial data to automate geo-processing tasks in QGIS. It covers topics such as querying and editing vector data and using raster data. You will also learn to create, edit, and optimize a vector layer for faster queries, re-project a vector layer, reduce the number of vertices in a vector layer without losing critical data, and convert a raster to a vector. Following this, you will work through re[beeep]es that will help you compose static maps, create heavily customized maps, and add specialized labels and annotations. As well as this, well also share a few tips and tricks based on different aspects of QGIS. Download From NitroFlare http://nitroflare.com/view/6190D5C35E3DC3E/xidau123_Automated_Data_Processing_with_PyQGIS.part1.rar http://nitroflare.com/view/775560CD6622880/xidau123_Automated_Data_Processing_with_PyQGIS.part2.rar Download From Rapidgator http://rapidgator.net/file/d1cce9dcaf516652d545b944dd3ddaf2/xidau123_Automated_Data_Processing_with_PyQGIS.part1.rar.html http://rapidgator.net/file/ae7cdbccc6396d800e0ff11637d58042/xidau123_Automated_Data_Processing_with_PyQGIS.part2.rar.html Download From UploadGig https://uploadgig.com/file/download/6AF011842bac8a85/xidau123_Automated Data Processing with PyQGIS.part1.rar https://uploadgig.com/file/download/7f00c987e301Ac5b/xidau123_Automated Data Processing with PyQGIS.part2.rar

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Photo Processing in Adobe Camera Raw: Getting the Cinematic Look MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | 1.10 GB Genre: eLearning | Language: English This insightful one-hour class with celebrity portrait photographer Elizabeth Weinberg will walk you through exactly what goes on behind those Instagram filters and editing programs, so you can understand the fundamentals of light, color, grain, saturation, and - in essence - make your digital photos not suck. Elizabeth walks through the 4 telltale signs of ugly digital photos: No grain Terrible skin tones and highlights Chromatic aberration Oversaturation .and how to fix these issues quickly and easily. This class is perfect for photographers of all levels - whether you're just starting out, or if you've been shooting for years and want to hone your processing style. Join Elizabeth in her digital darkroom (Adobe Camera Raw) for a crash course in photo editing, and leave with the skills and confidence to add a signature cinematic style to your own portraits. DOWNLOAD http://rapidgator.net/file/f76d3a68ee621d74db07a9921992c8b6/jsgxo.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part1.rar.html http://rapidgator.net/file/01983ea1f5d9091a1f386fb6eef1b795/jsgxo.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part2.rar.html https://bytewhale.com/t7hzoeum9qwr/jsgxo.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part1.rar https://bytewhale.com/pmem7hm167t4/jsgxo.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part2.rar http://uploaded.net/file/8nyx5me6/jsgxo.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part1.rar http://uploaded.net/file/u64eop3h/jsgxo.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part2.rar https://www.bigfile.to/file/t9tph7Baffkd/jsgxo.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part1.rar https://www.bigfile.to/file/v6cxpC5aatet/jsgxo.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part2.rar http://nitroflare.com/view/6A24B1893D69CA0/jsgxo.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part1.rar http://nitroflare.com/view/DA6952641ED2427/jsgxo.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part2.rar http://uploadgig.com/file/download/Fc42c23dc103e49A/jsgxo.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part1.rar http://uploadgig.com/file/download/7665458eA44ce078/jsgxo.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part2.rar

10 Essential Post-Processing Techniques That Every Landscape Photographer MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours 39M | 715 MB Genre: eLearning | Language: English Building on his previous landscape photography class, Scott Kelby uses the photos he captured at Cannon Beach to teach you 10 essential post processing techniques every landscape photographer should know. Starting from a simple example to get oriented to the tools, Scott takes you step-by-step through his Lightroom and Photoshop workflow to learn increasingly more advanced techniques. In this class you'll learn how to evaluate each photo before processing, different ways to boost contrast, how to stitch multiple frames into a panorama, how to process realistic looking HDR images, how to sharpen to bring out detail, how to enhance washed out skies, and so much more! Be sure to watch the landscape photography class first so that you can see the process through from capture to finish! DOWNLOAD http://rapidgator.net/file/cf9c10221cd59682a7cb7f1dd288afab/j3n5g.10.Essential.PostProcessing.Techniques.That.Every.Landscape.Photographer.rar.html https://bytewhale.com/gc672cqub8h7/j3n5g.10.Essential.PostProcessing.Techniques.That.Every.Landscape.Photographer.rar http://uploaded.net/file/fp7ivb6c/j3n5g.10.Essential.PostProcessing.Techniques.That.Every.Landscape.Photographer.rar https://www.bigfile.to/file/3zY6eCxNECqG/j3n5g.10.Essential.PostProcessing.Techniques.That.Every.Landscape.Photographer.rar http://nitroflare.com/view/A06A48DD95819A2/j3n5g.10.Essential.PostProcessing.Techniques.That.Every.Landscape.Photographer.rar http://uploadgig.com/file/download/E28ea52f6ab55a1B/j3n5g.10.Essential.PostProcessing.Techniques.That.Every.Landscape.Photographer.rar

Photo Processing in Adobe Camera Raw: Getting the Cinematic Look Duration: 60m | Video: h264, yuv420p, 1280x720 30fps | Audio: aac, 44100 Hz, 2 ch | 1.10 GB Genre: eLearning | Language: English This insightful one-hour class with celebrity portrait photographer Elizabeth Weinberg will walk you through exactly what goes on behind those Instagram filters and editing programs, so you can understand the fundamentals of light, color, grain, saturation, and - in essence - make your digital photos not suck. Elizabeth walks through the 4 telltale signs of ugly digital photos: No grain Terrible skin tones and highlights Chromatic aberration Oversaturation ...and how to fix these issues quickly and easily. This class is perfect for photographers of all levels - whether you're just starting out, or if you've been shooting for years and want to hone your processing style. Join Elizabeth in her digital darkroom (Adobe Camera Raw) for a crash course in photo editing, and leave with the skills and confidence to add a signature cinematic style to your own portraits. Download link: http://rapidgator.net/file/bdff268ef24223065833190872477a3e/vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part1.rar.html]vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part1.rar.html http://rapidgator.net/file/03c2b351ebbdeecae10468df5e3a0ac5/vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part2.rar.html]vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part2.rar.html http://rapidgator.net/file/839e2a1bb4b4525282986f09e01d7244/vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part3.rar.html]vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part3.rar.html http://nitroflare.com/view/B47B4CBE13BE702/vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part1.rar]vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part1.rar http://nitroflare.com/view/3EAF42CAC0CE2AC/vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part2.rar]vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part2.rar http://nitroflare.com/view/3AF801FFABE060A/vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part3.rar]vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part3.rar http://uploaded.net/file/jd8gh8zk/vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part1.rar]vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part1.rar http://uploaded.net/file/j4nd9h60/vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part2.rar]vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part2.rar http://uploaded.net/file/hz4b2gxv/vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part3.rar]vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part3.rar https://www.bigfile.to/file/2TvjRtTJsbq2/vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part1.rar]vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part1.rar https://www.bigfile.to/file/vKM4RYcKEtgH/vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part2.rar]vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part2.rar https://www.bigfile.to/file/U4hWePWdkHMX/vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part3.rar]vzrl4.Photo.Processing.in.Adobe.Camera.Raw.Getting.the.Cinematic.Look.part3.rar Links are Interchangeable - No Password - Single Extraction

Processing Underexposed Images in Photoshop MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 23M | 355 MB Genre: eLearning | Language: English In this class I am going to teach You how to process Your underexposed images, and bring back life into them! One of the main issue with taking pictures are underexposed images. In this lesson I am showing You how You can bring what's best on the images just in a few very simple steps. You don't need to have previous knowledge about photoshop or photography. I am going provide You few images for You to practice. DOWNLOAD http://rapidgator.net/file/c89976cc8e1a30a028fd204841ff53c7/wlo4h.Processing.Underexposed.Images.in.Photoshop.rar.html https://bytewhale.com/jxzfzmef18r3/wlo4h.Processing.Underexposed.Images.in.Photoshop.rar http://uploaded.net/file/vlo7pjrt/wlo4h.Processing.Underexposed.Images.in.Photoshop.rar https://www.bigfile.to/file/Kuwq627mkjWP/wlo4h.Processing.Underexposed.Images.in.Photoshop.rar http://nitroflare.com/view/D5B3279ADFB270E/wlo4h.Processing.Underexposed.Images.in.Photoshop.rar http://uploadgig.com/file/download/50e266Ac12271f68/wlo4h.Processing.Underexposed.Images.in.Photoshop.rar

lynda-Shooting and Processing Panoramas Duration: 4h 5m | Video: AVC (.mp4) 1280x720 30fps | Audio: AAC 48KHz 2ch | 1.42 GB Genre: eLearning | Level: Intermediate | Language: English When one photo doesn't do justice to a scene, take several-and then stitch them together them into a panorama. In this course, Rich Harrington details every step in the panoramic photography process, from shooting to post-processing. The course begins with a look at the concepts and technical details for getting great shots: how to choose a shooting format and size, how to properly mount the camera on a tripod, how to overlap each shot, which lenses deliver best results, and more. Plus, learn about optional hardware like the GigaPan system and sliders, and a variety of mobile apps for capturing 360-degree panoramas with an iPhone. After shooting a variety of panoramas, Rich processes them using various software tools, from Lightroom to Adobe Camera Raw and Photoshop. The course concludes with advice on refining stitched panoramas and on saving them for a variety of destinations, from print to the web. Topics include: * Choosing your gear * Compensating for the nodal point * Stitching in camera * Leveling the camera platform * Locking exposure and focus * Shooting with the GigaPan system * Shooting HDR panoramas * Shooting with an iPhone * Managing data from a panorama shoot * Reducing noise and removing dust with Camera Raw * Initiating the Photomerge command * Blending the photos * Refining highlights and shadows * Saving panoramas for print and the web Download link: http://rapidgator.net/file/459a1b62d6a19b4f9a717c9c4e9fa381/fiviz.lyndaShooting.and.Processing.Panoramas.part1.rar.html]fiviz.lyndaShooting.and.Processing.Panoramas.part1.rar.html http://rapidgator.net/file/3d8d15c579fef051808afd241def248d/fiviz.lyndaShooting.and.Processing.Panoramas.part2.rar.html]fiviz.lyndaShooting.and.Processing.Panoramas.part2.rar.html http://rapidgator.net/file/eb891fc0395fe0ab7598f65698920b1b/fiviz.lyndaShooting.and.Processing.Panoramas.part3.rar.html]fiviz.lyndaShooting.and.Processing.Panoramas.part3.rar.html http://nitroflare.com/view/A9443440E01DEF0/fiviz.lyndaShooting.and.Processing.Panoramas.part1.rar]fiviz.lyndaShooting.and.Processing.Panoramas.part1.rar http://nitroflare.com/view/C5C77ACE2075BBE/fiviz.lyndaShooting.and.Processing.Panoramas.part2.rar]fiviz.lyndaShooting.and.Processing.Panoramas.part2.rar http://nitroflare.com/view/9602E63C4C6567B/fiviz.lyndaShooting.and.Processing.Panoramas.part3.rar]fiviz.lyndaShooting.and.Processing.Panoramas.part3.rar http://uploaded.net/file/kpgp03p7/fiviz.lyndaShooting.and.Processing.Panoramas.part1.rar]fiviz.lyndaShooting.and.Processing.Panoramas.part1.rar http://uploaded.net/file/x32qrmv4/fiviz.lyndaShooting.and.Processing.Panoramas.part2.rar]fiviz.lyndaShooting.and.Processing.Panoramas.part2.rar http://uploaded.net/file/m4bumlth/fiviz.lyndaShooting.and.Processing.Panoramas.part3.rar]fiviz.lyndaShooting.and.Processing.Panoramas.part3.rar https://www.bigfile.to/file/vVAVfpG5BfWt/fiviz.lyndaShooting.and.Processing.Panoramas.part1.rar]fiviz.lyndaShooting.and.Processing.Panoramas.part1.rar https://www.bigfile.to/file/mBQbjbueSJHn/fiviz.lyndaShooting.and.Processing.Panoramas.part2.rar]fiviz.lyndaShooting.and.Processing.Panoramas.part2.rar https://www.bigfile.to/file/YUQsZGqFMqeG/fiviz.lyndaShooting.and.Processing.Panoramas.part3.rar]fiviz.lyndaShooting.and.Processing.Panoramas.part3.rar Links are Interchangeable - No Password - Single Extraction