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 Название: Computer programming languages: 2 books in 1: For beginners or intermediate. A step by step guide to learn C, C#, C++, SQL and Python
Автор: Tony Chan
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 225
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB
The book will discuss all of the different parts that you need to know in order to get started with your own programming goals along the way. There are so many different parts that come with programming, and so many people want to learn the basics, but many worry that it is not going to be easy at all to learn or that they just won’t have the time. With the help of this guidebook, we are going to take the time to learn not just about the basics of computer programming but also more about how to get started with working on five different coding languages in no time at all. | |
Разместил: Ingvar16 16-05-2020, 16:17 | Комментарии: 0 | Подробнее
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 Название: Colorful Statistics with Basic Steps in Python Programming Language
Автор: Usman Zafar Paracha
Издательство: Amazon.com Services LLC
Год: 2019
Формат: PDF
Страниц: 355
Размер: 21 Mb
Язык: English
This book is a try to make statistics colorful along with basic instructions in Python Programming Language …
It has handy illustrations on a huge number of statistical topics with beautiful colors as can be found through the table of contents. | |
Разместил: vitvikvas 16-05-2020, 09:44 | Комментарии: 0 | Подробнее
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 Название: Lite Statistics with Basic Steps in R (Programming Language)
Автор: Usman Zafar Paracha
Издательство: Amazon.com Services LLC
Год: 2020
Формат: PDF
Страниц: 248
Размер: 20,5 Mb
Язык: English
This book is a try to make statistics easy-to-understand along with basic instructions in R Programming Language …
The statistics-related topics can be found in the table of contents.
N.B. It has lower price as compared to "Colorful Statistics with Basic Steps in R (Programming Language)", but almost similar information as that book. | |
Разместил: vitvikvas 16-05-2020, 09:31 | Комментарии: 0 | Подробнее
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Название: Xcode Treasures: Master the Tools to Design, Build, and Distribute Great Apps
Автор: Chris Adamson
Издательство: Pragmatic Bookshelf
Год: 2018
Страниц: 276
Формат: EPUB
Размер: 19 Mb
Язык: English
Learn the critical tips and techniques to make using Xcode for the iPhone, iPad, or Mac easier, and even fun. Explore the features and functionality of Xcode you may not have heard of. Go under the hood to discover how projects really work, so when they stop working, you'll know how to fix them. Explore the common problems developers face when using Xcode, and find out how to get the most out of your IDE. Dig into Xcode, and you'll discover it's richer and more powerful than you might have thought. | |
Разместил: _аdmin_ 16-05-2020, 08:08 | Комментарии: 0 | Подробнее
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 Название: Linear Algebra and Optimization for Machine Learning: A Textbook
Автор: Charu C. Aggarwal
Издательство: Springer
Год: 2020
Страниц: 507
Язык: английский
Формат: pdf (true), epub
Размер: 35.97 MB
This textbook introduces linear algebra and optimization in the context of Machine Learning (ML). Examples and exercises are provided throughout this text book together with access to a solution's manual. This textbook targets graduate level students and professors in computer science, mathematics and data science. Advanced undergraduate students can also use this textbook. | |
Разместил: Ingvar16 16-05-2020, 04:58 | Комментарии: 0 | Подробнее
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 Название: First-order and Stochastic Optimization Methods for Machine Learning
Автор: Guanghui Lan
Издательство: Springer
Год: 2020
Страниц: 591
Язык: английский
Формат: pdf (true), epub
Размер: 52.3 MB
This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of Machine Learning algorithms. In spite of the intensive research and development in this area, there does not exist a systematic treatment to introduce the fundamental concepts and recent progresses on Machine Learning algorithms, especially on those based on stochastic optimization methods, randomized algorithms, nonconvex optimization, distributed and online learning, and projection free methods. This book will benefit the broad audience in the area of Machine Learning, Artificial Intelligence and mathematical programming community by presenting these recent developments in a tutorial style, starting from the basic building blocks to the most carefully designed and complicated algorithms for Machine Learning. | |
Разместил: Ingvar16 16-05-2020, 04:21 | Комментарии: 0 | Подробнее
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 Название: Deep Learning and Parallel Computing Environment for Bioengineering Systems
Автор: Arun Kumar Sangaiah
Издательство: Academic Press
Год: 2019
Страниц: 269
Язык: английский
Формат: pdf (true)
Размер: 24.7 MB
Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. | |
Разместил: Ingvar16 16-05-2020, 02:48 | Комментарии: 0 | Подробнее
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 Название: Adopting Elixir: From Concept to Production
Автор: Ben Marx, Jose Valim
Издательство: Pragmatic Bookshelf
Год: 2018
Страниц: 232
Язык: английский
Формат: pdf (true), azw3, mobi, epub
Размер: 10.7 MB
Adoption is more than programming. Elixir is an exciting new language, but to successfully get your application from start to finish, you're going to need to know more than just the language. The case studies and strategies in this book will get you there. Learn the best practices for the whole life of your application, from design and team-building, to managing stakeholders, to deployment and monitoring. Go beyond the syntax and the tools to learn the techniques you need to develop your Elixir application from concept to production. | |
Разместил: Ingvar16 15-05-2020, 21:51 | Комментарии: 0 | Подробнее
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 Название: Practical Packet Analysis: Using Wireshark to Solve Real-World Network Problems 3rd Edition
Автор: Chris Sanders
Издательство: No Starch Press
Год: 2017
Формат: EPUB, AZW3 / PDF + Code
Размер: 36 Мб / 114 Мб
Язык: английский / English
Wireshark is the world's most popular network sniffer that makes capturing packets easy, but it won't be much help if you don't have a solid foundation in packet analysis. Practical Packet Analysis, 3rd Edition will show you how to make sense of your PCAP data and let you start troubleshooting the problems on your network. This third edition is updated for Wireshark 2.0.5 and IPV6, making it the definitive guide to packet analysis and a must for any network technician, administrator, or engineer. This updated version includes two new chapters that will teach you how to use the powerful command-line packet analyzers tcpdump and TShark as well as how to read and reference packet values using a packet map. | |
Разместил: black 15-05-2020, 18:58 | Комментарии: 2 | Подробнее
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 Название: Tensorflow Machine Learning: A Comprehensive Beginner's Guide to Learn About the Realms of TensorFlow Machine Learning From A-Z
Автор: Benjamin Smith
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 200
Язык: английский
Формат: pdf, azw3. epub
Размер: 10.1 MB
Are you interested in learning Machine Learning (ML) and Deep Learning (DL)? TensorFlow is the single most popular library available today. Offering some of the very best graph computations, TensorFlow helps data scientists in designing neural networks using a cool feature called TensorBoard. It has support for both recurrent neural networks (RNNs) and convolution, as well as parallel processing support on GPU and CPU. While TensorFlow is an incredibly important machine and deep learning library, we also give you an introduction to three others – NumPy, Pandas, and Scikit Learn. I have produced a hands-on guide, with plenty of code examples for you to follow along with. | |
Разместил: Ingvar16 15-05-2020, 17:50 | Комментарии: 0 | Подробнее
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