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First Semester in Numerical Analysis with Python

FREE EBOOK - First Semester in Numerical Analysis with Python

by Yaning Liu

The book is based on "First semester in Numerical Analysis with Julia". The contents of the original book are retained, while all the algorithms are implemented in Python (Version 3.8.0). Python is an open source (under OSI), interpreted, general-purpose programming language that has a large number of users around the world. Python is ranked the third in August 2020 by the TIOBE programming commun...

Publisher:  Self-publishing  |  Release:  2020

First Semester in Numerical Analysis with Python

FREE EBOOK - First Semester in Numerical Analysis with Python

by Yaning Liu

The book is based on "First semester in Numerical Analysis with Julia". The contents of the original book are retained, while all the algorithms are implemented in Python (Version 3.8.0). Python is an open source (under OSI), interpreted, general-purpose programming language that has a large number of users around the world. Python is ranked the third in August 2020 by the TIOBE programming commun...

Publisher:  Self-publishing  |  Release:  2020

Introducing Machine Learning

Introducing Machine Learning

by Dino Esposito, Francesco Esposito

Machine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and the basic steps of any machine learning project. Next, they introduce Microsoft's powerful ML.NET library, including capabilities for data processing, training, and...

Price:  $34.99  |  Publisher:  Microsoft Press  |  Release:  2020

Reinforcement Learning

Reinforcement Learning

by Phil Winder

Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itsel...

Price:  $39.21  |  Publisher:  O'Reilly Media  |  Release:  2020

Practical DataOps

Practical DataOps

by Harvinder Atwal

Gain a practical introduction to DataOps, a new discipline for delivering data science at scale inspired by practices at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay. Organizations need more than the latest AI algorithms, hottest tools, and best people to turn data into insight-driven action and useful analytical data products. Processes and thinking employed to manage and use data in the 2...

Price:  $32.99  |  Publisher:  Apress  |  Release:  2020

Practical Machine Learning with Rust

Practical Machine Learning with Rust

by Joydeep Bhattacharjee

Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering the important concepts of machine learning such as supervised, unsupervised, and reinforcement learning, and the basics of Rust. Further, you'll dive into the more specific fields of machine learning, such as computer vision and natural language processing, and look a...

Price:  $19.21  |  Publisher:  Apress  |  Release:  2020

Practical MATLAB Deep Learning

Practical MATLAB Deep Learning

by Michael Paluszek, Stephanie Thomas

Harness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. You'll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning.Along the way, you'll learn to model complex systems, including the stock market, natural language, and angles-only orbit d...

Price:  $54.96  |  Publisher:  Apress  |  Release:  2020

Deep Learning with Python

Deep Learning with Python

by Nihkil Ketkar

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This new edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook's Artificial Intelligence Research Group.You'll start with...

Price:  $32.99  |  Publisher:  Apress  |  Release:  2020

Next-Generation Machine Learning with Spark

Next-Generation Machine Learning with Spark

by Butch Quinto

Access real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications.The past decade has seen an astonishing series of advances in machine learning. These breakthroughs are disrupting our everyday life and making an impact across every industry.Next-Generation Machine Learning with Spark provides a gentle introduction to Spark and Spark...

Price:  $26.41  |  Publisher:  Apress  |  Release:  2020

C++20 Recipes

C++20 Recipes

by J. Burton Browning, Bruce Sutherland

Discover the newest major features of C++20, including modules, concepts, spaceship operators, and smart pointers. This book is a handy code cookbook reference guide that covers the C++ core language standard as well as some of the code templates available in standard template library (STL).In C++20 Recipes: A Problem-Solution Approach, you'll find numbers, strings, dates, times, classes, exceptions, s...

Price:  $44.62  |  Publisher:  Apress  |  Release:  2020

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