Название: Deep Reinforcement Learning with Python: With PyTorch, TensorFlow and OpenAI Gym
Автор: Nimish Sanghi
Издательство: Apress
Год: 2021
Формат: EPUB, PDF
Страниц: 401
Размер: 21 Mb
Язык: English

Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding exercise.

Название: Artificial Intelligence Foundations : Learning from experience
Автор: Andrew Lowe, Steve Lawless
Издательство: BCS, The Chartered Institute for IT
Год: 2021
Страниц: 167
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

In alignment with BCS AI Foundation and Essentials certificates, this introductory guide provides the understanding you need to start building artificial intelligence (AI) capability into your organisation. You will learn how AI is being utilised today to support products, services, science and engineering, and how it is likely to be used in the future to balance the talents of humans and machines. You will explore robotics and machine learning within the context of AI, and discover how the challenges AI presents are being addressed. You will delve into the theory behind AI and machine learning projects, examining techniques for learning from data, the use of neural networks and why algorithms are so important in the development of a new AI agent or system.

Название: Security and Microservice Architecture on AWS (Early Release)
Автор: Gaurav Raje
Издательство: O’Reilly Media
Год: 2021-03-30
Формат: epub
Размер: 14.4 Mb
Язык: English

Security is usually an afterthought when organizations design microservices for cloud systems. Most companies today are exposed to potential security threats, but their response is more reactive than proactive. That leads to unnecessarily complicated architecture that's harder to implement and even harder to manage and scale. Author Gaurav Raje shows you how to build highly secure systems on AWS without increasing overhead.
Ideal for cloud solution architects and software developers with AWS experience, this practical book starts with a high-level architecture and design discussion, then explains how to implement your solution in the cloud in a secure but frictionless manner.

Название: MATLAB Mathematics (R2021a)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: 2021
Страниц: 702
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Linear algebra, differentiation and integrals, Fourier transforms, and other mathematics. Math functions provide a range of numerical computation methods for analyzing data, developing algorithms, and creating models. Core functions use processor-optimized libraries for fast vector and matrix calculations.

Название: Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches
Автор: K. Gayathri Devi, Mamata Rath
Издательство: CRC Press
Год: 2021
Страниц: 354
Язык: английский
Формат: epub
Размер: 12.8 MB

Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems.

Название: Encyclopedia of Artificial Intelligence: The Past, Present, and Future of Ai
Автор: Philip Frana (Editor), Michael Klein (Editor)
Издательство: ABC-CLIO, LLC
Год: 2021
Формат: True PDF/EPUB
Страниц: 404
Размер: 10 Mb
Язык: English

This authoritative reference work will provide readers with a complete overview of artificial intelligence (AI), including its historic development and current status; existing and projected AI applications; and present and potential future impact on the United States and the world.

Название: Knowledge Graphs: Fundamentals, Techniques, and Applications (Adaptive Computation and Machine Learning series)
Автор: Mayank Kejriwal, Craig A. Knoblock, Pedro Szekely
Издательство: The MIT Press
Год: 2021
Формат: epub
Страниц: 568
Размер: 27.4 Mb
Язык: English

A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence.
The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19.

Название: Pyomo - Optimization Modeling in Python, 3rd Edition
Автор: Michael L. Bynum, Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson, John D. Siirola, Jean-Paul Watson, David L. Woodruff
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 242
Размер: 13 Mb
Язык: English

This book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. Using many examples to illustrate the different techniques useful for formulating models, this text beautifully elucidates the breadth of modeling capabilities that are supported by Pyomo and its handling of complex real-world applications. In the third edition, much of the material has been reorganized, new examples have been added, and a new chapter has been added describing how modelers can improve the performance of their models. The authors have also modified their recommended method for importing Pyomo. A big change in this edition is the emphasis of concrete models, which provide fewer restrictions on the specification and use of Pyomo models.

Название: Thinking Machines: Machine Learning and Its Hardware Implementation
Автор: Shigeyuki Takano
Издательство: Academic Press
Год: 2021
Формат: PDF
Страниц: 324
Размер: 16 Mb
Язык: English

Thinking Machines: Machine Learning and Its Hardware Implementation covers the theory and application of machine learning, neuromorphic computing and neural networks. This is the first book that focuses on machine learning accelerators and hardware development for machine learning. It presents not only a summary of the latest trends and examples of machine learning hardware and basic knowledge of machine learning in general, but also the main issues involved in its implementation. Readers will learn what is required for the design of machine learning hardware for neuromorphic computing and/or neural networks.

Название: Машинное обучение на R: экспертные техники для прогностического анализа
Автор: Бретт Ланц
Язык: русский
Издательство: Питер
Год: 2020
Страниц: 464
Формат: pdf
Размер: 19,3 Мб

Язык R предлагает мощный набор методов машинного обучения, позволяющих быстро проводить нетривиальный анализ ваших данных. Книга является руководством, которое поможет применять методы машинного обучения в решении ежедневных задач. Бретт Ланц научит всему необходимому для анализа данных, формирования прогнозов и визуализации данных. Здесь вы найдете информацию о новых улучшенных библиотеках, советы об этических аспектах машинного обучения и проблемах предвзятости, а также познакомитесь с глубоким обучением.