Machine Learning Books



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Practical Machine Learning for Computer Vision

Practical Machine Learning for Computer Vision

by Valliappa Lakshmanan, Martin Görner, Ryan Gillard

This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data p...

Price:  $59.54  |  Publisher:  O'Reilly Media  |  Release:  2021

Quantum Machine Learning: An Applied Approach

Quantum Machine Learning: An Applied Approach

by Santanu Ganguly

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research.The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet the power o...

Price:  $44.74  |  Publisher:  Apress  |  Release:  2021

AI and Machine Learning for On-Device Development

AI and Machine Learning for On-Device Development

by Laurence Moroney

AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android.Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and ...

Price:  $48.49  |  Publisher:  O'Reilly Media  |  Release:  2021

Quantum Machine Learning with Python

Quantum Machine Learning with Python

by Santanu Pattanayak

Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use cases that can be solved through Quantum based algorithms.This book explains Quantum Computing, which leverages the Quantum mechanical properties sub-atomic particles. It also examines Quantum machine learning, which can help solve some of the most challenging problems in f...

Price:  $28.98  |  Publisher:  Apress  |  Release:  2021

Beginning Machine Learning in the Browser

Beginning Machine Learning in the Browser

by Suryadevara Nagender Kumar

Apply Artificial Intelligence techniques in the browser or on resource constrained computing devices. Machine learning (ML) can be an intimidating subject until you know the essentials and for what applications it works. This book takes advantage of the intricacies of the ML processes by using a simple, flexible and portable programming language such as JavaScript to work with more approachable, fundamental...

Price:  $29.04  |  Publisher:  Apress  |  Release:  2021

AI for Healthcare with Keras and Tensorflow 2.0

AI for Healthcare with Keras and Tensorflow 2.0

by Anshik Bansal

Learn how AI impacts the healthcare ecosystem through real-life case studies with TensorFlow 2.0 and other machine learning (ML) libraries.This book begins by explaining the dynamics of the healthcare market, including the role of stakeholders such as healthcare professionals, patients, and payers. Then it moves into the case studies. The case studies start with EHR data and how you can account for sub-popu...

Price:  $36.74  |  Publisher:  Apress  |  Release:  2021

TensorFlow 2 Pocket Reference

TensorFlow 2 Pocket Reference

by KC Tung

This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself.When and why would you feed training data as using NumPy or a streaming dataset? How would you set up cross-validations in the tra...

Price:  $22.01  |  Publisher:  O'Reilly Media  |  Release:  2021

Learning TensorFlow.js

Learning TensorFlow.js

by Gant Laborde

Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde (Google Developer Expert in machine learningand the web) provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that in...

Price:  $40.99  |  Publisher:  O'Reilly Media  |  Release:  2021

Human-in-the-Loop Machine Learning

Human-in-the-Loop Machine Learning

by Robert Monarch

Most machine learning systems that are deployed in the world today learn from human feedback. However, most machine learning courses focus almost exclusively on the algorithms, not the human-computer interaction part of the systems. This can leave a big knowledge gap for data scientists working in real-world machine learning, where data scientists spend more time on data management than on building algorith...

Price:  $56.21  |  Publisher:  Manning  |  Release:  2021

Machine Learning for Kids

Machine Learning for Kids

by Dale Lane

Artificial intelligence (AI) is the ability of computers to simulate human thinking. Machine learning (ML) is one of the building blocks of AI. It's based on the idea that computers can be taught to do things on their own from the data and feedback you give them.Machine Learning for Kids consists of this book and a kid-friendly companion website paired with the educational coding platform, Scratch. Together...

Price:  $23.92  |  Publisher:  No Starch Press  |  Release:  2021

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