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.
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.
Название: Computational Genomics with R Автор: Altuna Akalin Издательство: Chapman and Hall/CRC Год: 2021 Формат: PDF Страниц: 462 Размер: 34,8 Mb Язык: English
Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology.
Название: Discrete Mathematics for Computer Science: An Example-Based Introduction Автор: Jon Pierre Fortney Издательство: Routledge Год: 2021 Формат: True PDF Страниц: 268 Размер: 10 Mb Язык: English
Discrete Mathematics for Computer Science: An Example-Based Introduction is intended for a first- or second-year discrete mathematics course for computer science majors. It covers many important mathematical topics essential for future computer science majors, such as algorithms, number representations, logic, set theory, Boolean algebra, functions, combinatorics, algorithmic complexity, graphs, and trees.
Название: Machine Learning for Kids: A Project-Based Introduction to Artificial Intelligence Автор: Dale Lane Издательство: No Starch Press Год: 2021 Формат: EPUB Страниц: 392 Размер: 50 Mb Язык: English
A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code! As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data.
Название: AI for Computer Architecture: Principles, Practice, and Prospects Автор: Lizhong Chen, Drew Penney, Daniel Jimenez Издательство: Morgan & Claypool Год: 2021 Страниц: 144 Язык: английский Формат: pdf (true) Размер: 10.1 MB
Artificial Intelligence (AI) has already enabled pivotal advances in diverse fields, yet its impact on computer architecture has only just begun. In particular, recent work has explored broader application to the design, optimization, and simulation of computer architecture. Notably, machine-learning-based strategies often surpass prior state-of-the-art analytical, heuristic, and human-expert approaches. This book reviews the application of machine learning in system-wide simulation and run-time optimization, and in many individual components such as caches/memories, branch predictors, networks-on-chip, and GPUs. The book further analyzes current practice to highlight useful design strategies and identify areas for future work, based on optimized implementation strategies, opportune extensions to existing work, and ambitious long term possibilities.
Название: Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots Автор: Michael McTear Издательство: Morgan Claypool Год: 2021 Формат: PDF Страниц: 251 Размер: 10 Mb Язык: English
This book provides a comprehensive introduction to Conversational AI. While the idea of interacting with a computer using voice or text goes back a long way, it is only in recent years that this idea has become a reality with the emergence of digital personal assistants, smart speakers, and chatbots. Advances in AI, particularly in deep learning, along with the availability of massive computing power and vast amounts of data, have led to a new generation of dialogue systems and conversational interfaces. Current research in Conversational AI focuses mainly on the application of machine learning and statistical data-driven approaches to the development of dialogue systems. However, it is important to be aware of previous achievements in dialogue technology and to consider to what extent they might be relevant to current research and development. Three main approaches to the development of dialogue systems are reviewed: rule-based systems that are handcrafted using best practice guidelines; statistical data-driven systems based on machine learning; and neural dialogue systems based on end-to-end learning.
Название: DevOps Master Courseware Автор: Alejandro Pestchanker Издательство: Van Haren Publishing Год: 2019 Страниц: 251 Язык: английский Формат: epub Размер: 19.7 MB
The word DevOps is a contraction of 'Development' and 'Operations'. DevOps is a set of best practices that emphasize the collaboration and communication of IT-professionals (developers, operators, and support staff) in the lifecycle of applications and services, leading to: - Continuous Integration: merging all developed working copies to a shared mainline several times a day - Continuous Deployment: release continuously or as often as possible - Continuous Feedback: seek feedback from stakeholders during all lifecycle stages
Nowadays jаvascript became an essential programming language that no one ignores or avoids. There are thousands of ways of learning jаvascript but a proper mental model for the core jаvascript concept is the most important part. So, anyone who is truly passionate about web or jаvascript will always love to learn under the hood working jаvascript and nodejs architecture. This book will give you a strong foundation of advanced jаvascript concepts and explains the topics with plain English and visualization. Here are the content and topics that we will learn and visualize.
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Название: TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on Google’s Cloud Service
Название: Object-Oriented Design Choices
Название: Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning
Название: AI for Computer Architecture: Principles, Practice, and Prospects
Название: DevOps Master Courseware
Название: Advanced jаvascript Visualized