Deep Learning with Swift for TensorFlow 
by Rahul Bhalley
Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both with support for modern hardware accelerators and more. This book covers the deep learning concepts from fundam...
Price: $36.13 | Publisher: Apress | Release: 2021
Beginning Mathematica and Wolfram for Data Science 
by Jalil Villalobos Alva
Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The book will introduce you to the Wolfram programming language and its syntax, as well as the structure of Mathematica and its advantages and disadvantages.You'll see how to use the Wolfram language for data science from a theoretical and practical perspective. Lear...
Price: $36.52 | Publisher: Apress | Release: 2021
Apple macOS and iOS System Administration
by Drew Smith
Effectively manage Apple devices anywhere from a handful of Macs at one location to thousands of iPhones across many locations. This book is a comprehensive guide for supporting Mac and iOS devices in organizations of all sizes.You'll learn how to control a fleet of macOS clients using tools like Profile Manager, Apple Device Enrollment Program (DEP), and Apple Remote Desktop. Then integrate your Mac client...
Price: $30.04 | Publisher: Apress | Release: 2020
Mastering Azure Machine Learning
by Christoph Korner, Kaijisse Waaijer
The increase being seen in data volume today requires distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy machine learning (ML) models. This book will help you improve your knowledge of building ML models using Azure and end-to-end ML pipelines on the cloud.The book starts with an overview of an end-to-end ML project and a guide on how to choo...
Price: $44.75 | Publisher: Packt Publishing | Release: 2020
Hands-On Machine Learning with C++
by Kirill Kolodiazhnyi
C++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to implement supervised and unsupervised ML algorithms through real-worl...
Price: $44.53 | Publisher: Packt Publishing | Release: 2020
Mastering Machine Learning Algorithms, 2nd Edition
by Giuseppe Bonaccorso
Mastering Machine Learning Algorithms, 2nd Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and unsupervised learning domains.You will use all the modern...
Price: $40.49 | Publisher: Packt Publishing | Release: 2020
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 eval...
Price: $33.71 | Publisher: Microsoft Press | Release: 2020
FREE EBOOK - Interpretable Machine Learning
by Christoph Molnar
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining indiv...
Price: $47.62 | Publisher: Leanpub | Release: 2020
Machine Learning Design Patterns
by Valliappa Lakshmanan, Sara Robinson, Michael Munn
The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice.In this book, you will find detailed explanations of 3...
Price: $35.01 | Publisher: O'Reilly Media | Release: 2020
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 at the...
Price: $19.21 | Publisher: Apress | Release: 2020