Название: Deep Learning with Swift for TensorFlow: Differentiable Programming with Swift
Автор: Rahul Bhalley
Издательство: Apress
Год: 2021
Формат: PDF, EPUB
Страниц: 303
Размер: 10 Mb
Язык: English

Discover more insight about deep learning and how to work with Swift for TensorFlow to develop intelligent apps. TensorFlow was designed for easy adoption by iOS programmers working in Swift. This book covers the established and tested concepts and ties them to modern Swift programming and applicable use in developing for iOS.
Using illustrative examples, the book starts off by introducing you to basic machine learning concepts along with code snippets in Swift for TensorFlow.. Fundamentals of neural networks required to understand today’s deep learning research will be covered and put in the context of working in the Swift language with the goal of developing primarily for Apple’s mobile ecosystem.

Название: A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio
Автор: Marley W. Watkins
Издательство: Routledge
Год: 2021
Страниц: 199
Язык: английский
Формат: pdf (true)
Размер: 28.0 MB

This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open source software R. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of R and RStudio code, and recommends evidence-based best practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon and formula to help facilitate grasp of the key issues users will face while applying EFA, along with how to implement, interpret, and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews.

Название: Learning Kotlin
Автор: Good Library
Издательство: Good Library
Год: 2021
Страниц: 181
Язык: английский
Формат: pdf, epub
Размер: 37.4 MB

Kotlin is a statically-typed object-oriented programming language developed by JetBrains primarily targeting the JVM. Kotlin is developed with the goals of being quick to compile, backwards- compatible, very type safe, and 100% interoperable with Java. Kotlin is also developed with the goal of providing many of the features wanted by Java developers. Kotlin's standard compiler allows it to be compiled both into Java bytecode for the JVM and into jаvascript. Kotlin has a standard IDE plugin for Eclipse and IntelliJ. Kotlin can also be compiled using Maven, using Ant, and using Gradle, or through the command line.

Название: An Introduction to the C Programming Language and Software Design
Автор: Tim Bailey
Издательство: Good Library
Год: 2021
Страниц: 364
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

This textbook was written with two primary objectives. The first is to introduce the C program- ming language. C is a practical and still-current software tool; it remains one of the most popular programming languages in existence, particularly in areas such as embedded systems. C facilitates writing code that is very efficient and powerful and, given the ubiquity of C compilers, can be easily ported to many different platforms. Also, there is an enormous code-base of C programs developed over the last 30 years, and many systems that will need to be maintained and extended for many years to come.

Название: Python For Data Analysis: The Ultimate and Definitive Manual to Learn Data Science and Coding With Python. Master The Basics Of Machine Learning, To Clean Code And Improve Artificial Intelligence
Автор: Matt Algore
Издательство: Independently published
Год: 2021
Язык: английский
Формат: pdf, azw3, epub
Размер: 12.4 MB

Talking about the IT world, there are many options when you have to choose language programming to learn and then to use for developing your career, especially if you want to become a Data Scientist. Python is one of the topmost languages and is becoming more and more popular because of plenty of reasons and one of the key reasons is that it is the best language to master if you want to analyze the data or get into the field of data analysis and data sciences. This Handbook will not only give you reasons on why you need to learn data science, but it will also tell you why learning data science with Python training is the better option.

Название: Python for NumWorks: Powerful Python programs and games for the NumWorks handheld calculator
Автор: John Clark Craig
Издательство: Independently published
Год: 2020
Формат: epub
Страниц: 238
Размер: 15.7 Mb
Язык: English

The Numworks calculator is, in several ways, an improvement over the Texas Instruments and Casio calculators. Those other calculators have been with us for several decades now, with only a very, very slow evolution in their capabilities. On the other hand, consider a few of the Numworks progressive new features and its innovative design.

Название: C# 9.0 Pocket Reference: Instant Help for C# 9.0 Programmers, First Edition
Автор: Joseph Albahari and Ben Albahari
Издательство: O’Reilly Media
Год: 2021-01-13
Формат: epub/pdf(conv.)
Страниц: 250
Размер: 11.8 Mb
Язык: English

When you have questions about C# 9.0 or .NET 5, this best-selling guide has the answers you need. C# is a language of unusual flexibility and breadth, but with its continual growth there's so much more to learn. In the tradition of O'Reilly's Nutshell guides, this thoroughly updated edition is simply the best one-volume reference to the C# language available today.

Название: TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on Google’s Cloud Service
Автор: David Paper
Издательство: Apress
Год: 2021
Страниц: 279
Язык: английский
Формат: pdf (true), rtf, epub
Размер: 10.1 MB

Use TensorFlow 2.x with Google's Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially well suited as a platform for TensorFlow 2.x deep learning applications. You will learn Colab’s default install of the most current TensorFlow 2.x along with Colab’s easy access to on-demand GPU hardware acceleration in the cloud for fast execution of deep learning models. This book offers you the opportunity to grasp deep learning in an applied manner with the only requirement being an Internet connection. Everything else—Python, TensorFlow 2.x, GPU support, and Jupyter Notebooks—is provided and ready to go from Colab.

Название: Object-Oriented Design Choices
Автор: Adair Dingle
Издательство: CRC Press
Год: 2021
Страниц: 349
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Do modern programming languages, IDEs, and libraries make coding easy? Maybe, but coding is not design. Large-scale or expensive apps clearly require evaluation of design choices. Still, software design directly impacts code reuse and longevity even for small-scale apps with limited overhead. This text evaluates and contrasts common object-oriented designs. The intent of identifying design variants is to recognize and manage conflicting goals such as short versus long-term utility, stability versus flexibility, and storage versus computation. Many examples are given to evaluate and contrast different solutions and to compare C# and C++ effects. No one has a crystal ball; however, deliberate design promotes software longevity. With the prominence of legacy OO code, a clear understanding of different object-oriented designs is essential.

Название: Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning
Автор: Mohammad Taher Pilehvar, Jose Camacho-Collados
Издательство: Morgan & Claypool
Год: 2021
Страниц: 175
Язык: английский
Формат: pdf (true)
Размер: 11.7 MB

Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional vector representation, which is easily integrable in modern machine learning models, has played a central role in the development of NLP. Embedding techniques initially focused on words, but the attention soon started to shift to other forms: from graph structures, such as knowledge bases, to other types of textual content, such as sentences and documents.