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Название: Machine Learning Using Python: Discover the world of Machine Learning using Python algorithm analysis, IDE and libraries. Projects focused on beginners
Автор: Eric Chamberlin
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 132
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

Are you one of those individuals who want to learn more about Machine Learning using Python? Perhaps you are seeking a detailed guide explaining how you can manage Machine Learning easily and hassle-free. Then look no further because this book got you covered! The word Machine Learning (ML) is all about the ability of a machine to learn and acquire something without any pre-existing program. Did you know that automatic learning is a means to educate an algorithm to learn from different environmental scenarios?

Название: Game Development with Unity: Learning C# by developing games with Unity
Автор: Claudia Alves
Издательство: mem Inc.
Год: 2020
Страниц: 125
Язык: английский
Формат: pdf, azw3. epub
Размер: 10.1 MB

The intuitive and powerful Unity game engine is one of the most widely used and best loved packages for game development. Unity scripting is an essential but challenging skill to master in order to create custom game elements. Learning modular scripting allows you to rewrite as little code as possible as you deploy your scripts to multiple projects and work easier, quicker, and more efficiently than before. Unity is a cross-platform development platform initially created for developing games but is now used for a wide range of things such as: architecture, art, children's apps, information management, education, entertainment, marketing, medical, military, physical installations, simulations, training, and many more.

Название: Practical Numerical C Programming: Finance, Engineering, and Physics Applications
Автор: Philip Joyce
Издательство: Apress
Год: 2020
Страниц: 280
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Master the C code appropriate for numerical methods and computational modeling, including syntax, loops, subroutines, and files. Then, this hands-on book dives into financial applications using regression models, product moment correlation coefficients, and asset pricing. Next, Practical Numerical C Programming covers applications for engineering/business such as supermarket stock reordering simulation as well as flight information boards at airports and controlling a power plant. Finally, the book concludes with some physics including building simulation models for energy and pendulum motion. Along the way, you’ll learn center-of-mass calculations, Brownian motion, and more.

Название: Data Science for Mathematicians (CRC Press/Chapman and Hall Handbooks in Mathematics Series)
Автор: Nathan Carter (Editor)
Издательство: CRC Press/Chapman and Hall
Год: 2021
Формат: True PDF
Страниц: 545
Размер: 17 Mb
Язык: English

Mathematicians have skills that, if deepened in the right ways, would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Data science combines parts of mathematics, statistics, computer science. Gaining such power and the ability to teach has reinvigorated the careers of mathematicians.

Название: A Geometric Approach to the Unification of Symbolic Structures and Neural Networks
Автор: Tiansi Dong
Издательство: Springer
Год: 2020 (2021 Edition)
Страниц: 155
Язык: английский
Формат: pdf (true), epub
Размер: 29.2 MB

The methodology in the research of Artificial Intelligence (AI) consists of two competing paradigms, namely symbolic approach and connectionist approach. The symbolic approach is based on symbolic structures and rules, in which thinking is reviewed as symbolic manipulation. Associated with this paradigm are features such as logical, serial, discrete, localized, left-brained. The connectionist approach is inspired by the physiology of the mind, in which thinking is reviewed as information fusion and transfer of a large network of neurons. Associated with this paradigm are features such as analogical, parallel, continuous, distributed, right-brained.

Название: AI and Machine Learning
Автор: Was Rahman
Издательство: Sage Publications
Год: 2020
Формат: PDF, EPUB
Страниц: 181
Размер: 10 Mb
Язык: English

Was Rahman′s AI and Machine Learning achieves that rare balance of making a difficult and complex topic accessible to non-specialists, without dumbing down.

He starts with an enlightening and entertaining explanation of what artificial intelligence (AI) is and how it works. This includes often-overlooked fundamentals like what we actually mean by ′intelligence′, artificial or otherwise.

Название: Exploring C++20: The Programmer`s Introduction to C++ Third Edition
Автор: Lischner, Ray
Издательство: Apress
Год: 2020
Формат: true pdf/epub
Страниц: 653
Размер: 10.8 Mb
Язык: English

Discover everything you need to know about C++ in a logical progression of small lessons that you can work through as quickly or as slowly as you need. This book divides C++ up into bite-sized chunks that will help you learn the language one step at a time. Fully updated to include C++20, it assumes no familiarity with C++ or any other C-based language.

Название: Practical Process Automation (Early Release)
Автор: Bernd Ruecker
Издательство: O'Reilly Media, Inc.
Год: 2020
Формат: EPUB
Страниц: 176
Размер: 10 Mb
Язык: English

In today’s IT architectures, microservices and serverless functions play an increasingly important role. But how can you create meaningful, comprehensive, and connected business solutions if the individual components are decoupled and independent by design? This book provides a framework through examples and practical advice, and reveals how you can design complex processes in such an environment to deliver true business value.

Название: Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
Автор: Simon James Fong, Richard C. Millham
Издательство: Springer
Год: 2020 (2021 Edition)
Страниц: 228
Язык: английский
Формат: pdf (true), epub
Размер: 18.1 MB

The purpose of this book is to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visualisation phases. Although the application domains of these new algorithms may be mentioned, these algorithms are not confined to any particular application domain. Instead, these algorithms provide an update into emerging research areas such as data streaming, fog computing, and phases of big data management.

Название: Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark (Early Release)
Автор: Mahmoud Parsian
Издательство: O’Reilly Media
Год: 2020
Страниц: 166
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Apache Spark’s speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples for this framework using PySpark.