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Machine Learning with PyTorch and Scikit-Learn

Machine Learning with PyTorch and Scikit-Learn

by Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili

Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teac...

Price:  $40.00  |  Publisher:  Packt Publishing  |  Release:  2022

Machine Learning Techniques for Text

Machine Learning Techniques for Text

by Nikos Tsourakis

With the ever-increasing demand for machine learning and programming professionals, it's prime time to invest in the field. This book will help you in this endeavor, focusing specifically on text data and human language by steering a middle path among the various textbooks that present complicated theoretical concepts or focus disproportionately on Python code.A good metaphor this work builds upon is t...

Price:  $42.74  |  Publisher:  Packt Publishing  |  Release:  2022

Python Feature Engineering Cookbook, 2nd Edition

Python Feature Engineering Cookbook, 2nd Edition

by Soledad Galli

Feature engineering, the process of transforming variables and creating features, albeit time-consuming, ensures that your machine learning models perform seamlessly. This second edition of Python Feature Engineering Cookbook will take the struggle out of feature engineering by showing you how to use open source Python libraries to accelerate the process via a plethora of practical, hands-on recipes.This up...

Price:  $32.99  |  Publisher:  Packt Publishing  |  Release:  2022

Applying Math with Python, 2nd Edition

Applying Math with Python, 2nd Edition

by Sam Morley

The updated edition of Applying Math with Python will help you solve complex problems in a wide variety of mathematical fields in simple and efficient ways. Old recipes have been revised for new libraries and several recipes have been added to demonstrate new tools such as JAX.You'll start by refreshing your knowledge of several core mathematical fields and learn about packages covered in Python's...

Price:  $39.99  |  Publisher:  Packt Publishing  |  Release:  2022

Beej's Guide to C Programming

FREE EBOOK - Beej's Guide to C Programming

by Brian Hall

This is an intro to C for folks who already know how to program in another language. The first half of the book is written in a tutorial style, while the second half is a reference section complete with examples (inspired by the incomparable Turbo C Bible). The goal is to keep this up-to-date with the latest C standards.This guide assumes that you've already got some programming knowledge under your be...

Publisher:  Self-publishing  |  Release:  2022

HackSpace Magazine: Issue 57

FREE EBOOK - HackSpace Magazine: Issue 57

by HackSpace Team

The Raspberry Pi Pico: it's tiny, it's fast, it's versatile, and even more impressively these days it's available. And now it's got even better, with the introduction of the new internet-enabled Raspberry Pi Pico W. We'll run through the capabilities of this little board, and get you started on the road to victory with a couple of choice projects.- Turn an old beer keg into a d...

Publisher:  Raspberry Pi Press  |  Release:  2022

Programming ML.NET

Programming ML.NET

by Dino Esposito, Francesco Esposito

ML.NET brings the power of machine learning to all .NET developers and Programming ML.NET helps you apply it in real production solutions. Modeled on Dino Espositos best-selling Programming ASP.NET, this book takes the same scenario-based approach Microsofts team used to build ML.NET itself. After a foundational overview of ML.NETs libraries, the authors illuminate mini-frameworks (ML Tasks) for regression,...

Price:  $34.56  |  Publisher:  Microsoft Press  |  Release:  2022

Essential Math for Data Science

Essential Math for Data Science

by Thomas Nield

Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those insi...

Price:  $44.67  |  Publisher:  O'Reilly Media  |  Release:  2022

Natural Language Processing with Transformers

Natural Language Processing with Transformers

by Lewis Tunstall, Leandro von Werra, Thomas Wolf

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.Transformers have been used to write realis...

Price:  $52.15  |  Publisher:  O'Reilly Media  |  Release:  2022

Learning Functional Programming

Learning Functional Programming

by Jack Widman

Learn how to think and write code like a functional programmer. With this practical guide, software developers familiar with object-oriented programming will dive into the core concepts of functional programming and learn how to use both functional and OOP features together on large or complex software projects.Author Jack Widman uses samples from Java, Python, C#, Scala, and JavaScript to help you gain a n...

Price:  $33.87  |  Publisher:  O'Reilly Media  |  Release:  2022

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