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: $48.95 | 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
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
by Charles Edge, Rich Trouton
Working effectively with Apple platforms at a corporate or business level includes not only infrastructure, but a mode of thinking that administrators have to adopt to find success. A mode of thinking that forces you to leave 30 years of IT dogma at the door. This book is a guide through how to integrate Apple products in your environment with a minimum of friction. Because the Apple ecosystem is not going ...
Price: $30.27 | Publisher: Apress | Release: 2020
IoT Machine Learning Applications in Telecom, Energy, and Agriculture
by Puneet Mathur
Apply machine learning using the Internet of Things (IoT) in the agriculture, telecom, and energy domains with case studies. This book begins by covering how to set up the software and hardware components including the various sensors to implement the case studies in Python. The case study section starts with an examination of call drop with IoT in the telecoms industry, followed by a case study on energy a...
Price: $34.99 | Publisher: Apress | Release: 2020
by Pramod Singh, Avinash Manure
Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0. It also demonstrates how to build models using customer estimators. Further, it explains how to use TensorFlow 2.0 ...
Price: $26.06 | Publisher: Apress | Release: 2020