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Last Letter from Istanbul by Lucy Foley Read the opening extract of the brand new Lucy Foley book before its publication on 19/03/2018

Machine learning books

See below for a selection of the latest books from Machine learning category. Presented with a red border are the Machine learning books that have been lovingly read and reviewed by the experts at Lovereading.

With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Machine learning books and those from many more genres to read that will keep you inspired and entertained. And it's all free!


Recently Published

Machine Learning for Decision Makers Cognitive Computing Fundamentals for Better Decision Making by Patanjali Kashyap Machine Learning for Decision Makers Cognitive Computing Fundamentals for Better Decision Making

Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for...
Format: Paperback - Released: 06/02/2018

Deep Learning Essentials Your hands-on guide to the fundamentals of deep learning and neural network modeling by Wei Di, Anurag Bhardwaj, Jianing Wei Deep Learning Essentials Your hands-on guide to the fundamentals of deep learning and neural network modeling
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Deep Learning is one of the trending topics in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning. This book will help you take your first steps when it comes to...
Format: Paperback - Released: 30/01/2018

Visual Knowledge Discovery and Machine Learning by Boris Kovalerchuk Visual Knowledge Discovery and Machine Learning

This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns.
Format: Hardback - Released: 26/01/2018

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018) by Aboul Ella (Cairo University Egypt) Hassanien The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)

This book presents the refereed proceedings of the third International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2018, held in Cairo, Egypt, on February 22-24, 2018, and organized by the Scientific Research Group in Egypt (SRGE).
Format: Paperback - Released: 26/01/2018

Mastering TensorFlow 1.x Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras by Armando Fandango Mastering TensorFlow 1.x Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

We cover advanced deep learning concepts (such as transfer learning, generative adversarial models, and reinforcement learning), and implement them using TensorFlow and Keras. We cover how to build and deploy at scale with distributed models. You will learn to build...
Format: Paperback - Released: 22/01/2018

Machine Learning and Intelligent Communications Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II by Xuemai Gu Machine Learning and Intelligent Communications Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II

This two volume set constitutes the refereed post-conference proceedings of the Second International Conference on Machine Learning and Intelligent Communications, MLICOM 2017, held in Weihai, China, in August 2017. The 143 revised full papers were carefully selected from 225 submissions....
Format: Paperback - Released: 21/01/2018

Machine Learning and Intelligent Communications Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I by Xuemai Gu Machine Learning and Intelligent Communications Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I

This two volume set constitutes the refereed post-conference proceedings of the Second International Conference on Machine Learning and Intelligent Communications, MLICOM 2017, held in Weihai, China, in August 2017. The 143 revised full papers were carefully selected from 225 submissions....
Format: Paperback - Released: 21/01/2018

Automatic Tuning of Compilers Using Machine Learning by Amir H. Ashouri, Gianluca Palermo, John Cavazos, Cristina Silvano Automatic Tuning of Compilers Using Machine Learning
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This book explores break-through approaches to tackling and mitigating the well-known problems of compiler optimization using design space exploration and machine learning techniques.
Format: Paperback - Released: 19/01/2018

Coming Soon

Machine Learning with TensorFlow by Nishant Shukla Machine Learning with TensorFlow

DESCRIPTIONBeing able to make near-real-time decisions is becoming increasinglycrucial. To succeed, we need machine learning systems that can turnmassive amounts of data into valuable insights. But when you're juststarting out in the data science field, how do you get started...
Format: Paperback - Released: 28/02/2018

Scaling up Machine Learning Parallel and Distributed Approaches by Ron Bekkerman Scaling up Machine Learning Parallel and Distributed Approaches

This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.
Format: Paperback - Released: 00/03/2018

Density Ratio Estimation in Machine Learning by Masashi (Tokyo Institute of Technology) Sugiyama, Taiji (University of Tokyo) Suzuki, Takafumi (Nagoya University, Ja Kanamori Density Ratio Estimation in Machine Learning
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This book introduces theories, methods and applications of density ratio estimation, a newly emerging paradigm in the machine learning community.
Format: Paperback - Released: 00/03/2018

Advances in Financial Machine Learning by Lopez De Prado Advances in Financial Machine Learning

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology...
Format: Hardback - Released: 07/03/2018

Neural Network Learning and Expert Systems by Stephen I. Gallant Neural Network Learning and Expert Systems

Neural Network Learning and Expert Systems is the first book to present a unified and in-depth development of neural network learning algorithms and neural network expert systems. Especially suitable for students and researchers in computer science, engineering, and psychology, this...
Format: Paperback - Released: 07/03/2018

Deep Learning in Biometrics by Mayank (IIIT Delhi, India) Vatsa Deep Learning in Biometrics
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Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based techniques for data analytics and artificial intelligence. This technology applies quite strongly to biometrics....
Format: Hardback - Released: 16/03/2018

Machine Learning for Data Streams with Practical Examples in MOA by Albert (Professor of Computer Science, Telecom ParisTech) Bifet, Ricard (Professor, Universitat Politecnica de Catalun Gavalda Machine Learning for Data Streams with Practical Examples in MOA
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A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.Today many information sources -- including sensor networks, financial markets, social networks, and healthcare monitoring --...
Format: Hardback - Released: 30/03/2018

The Digital Mind How Science Is Redefining Humanity by Arlindo L. Oliveira The Digital Mind How Science Is Redefining Humanity

How developments in science and technology may enable the emergence of purely digital minds -- intelligent machines equal to or greater in power than the human brain.What do computers, cells, and brains have in common? Computers are electronic devices designed...
Format: Paperback - Released: 06/04/2018

Common Sense, the Turing Test, and the Quest for Real AI by Hector J. Levesque Common Sense, the Turing Test, and the Quest for Real AI

What artificial intelligence can tell us about the mind and intelligent behavior.What can artificial intelligence teach us about the mind? If AI's underlying concept is that thinking is a computational process, then how can computation illuminate thinking? It's a timely...
Format: Paperback - Released: 06/04/2018

Machine Learning for Text by Charu C. Aggarwal Machine Learning for Text

Text analytics is a field that lies on the interface of information retrieval,machine learning, and natural language processing, and this textbook carefully covers a coherently organized framework drawn from these intersecting topics. The chapters of this textbook is organized into...
Format: Hardback - Released: 22/04/2018

Machine Learning Topics and Techniques by Knox Machine Learning Topics and Techniques

An introduction to machine learning that includes the fundamental techniques, methods, and applications Machine Learning: a Concise Introduction offers a comprehensive introduction to the core concepts, approaches, and applications of machine learning.
Format: Hardback - Released: 03/05/2018

Other books in this genre

Elements of Causal Inference Foundations and Learning Algorithms by Bernhard Scholkopf, Jonas Peters, Dominik Janzing Elements of Causal Inference Foundations and Learning Algorithms
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A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained...
Format: Hardback - Released: 16/01/2018

Practical Machine Learning with Python A Problem-Solver's Guide to Building Real-World Intelligent Systems by Dipanjan Sarkar, Raghav Bali, Tushar Sharma Practical Machine Learning with Python A Problem-Solver's Guide to Building Real-World Intelligent Systems
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Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science...
Format: Paperback - Released: 22/12/2017

Machine Learning and Cognition in Enterprises Business Intelligence Transformed by Rohit Kumar Machine Learning and Cognition in Enterprises Business Intelligence Transformed

Learn about the emergence and evolution of IT in the enterprise, see how machine learning is transforming business intelligence, and discover various cognitive artificial intelligence solutions that complement and extend machine learning. In this book, author Rohit Kumar explores the...
Format: Paperback - Released: 12/12/2017

TensorFlow 1.x Deep Learning Cookbook by Antonio Gulli, Amita Kapoor TensorFlow 1.x Deep Learning Cookbook
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Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x About This Book * Skill up and implement tricky neural networks using Google's TensorFlow 1.x * An easy-to-follow guide that lets you explore reinforcement learning,...
Format: Paperback - Released: 11/12/2017

Machine Learning with R by Abhijit Ghatak Machine Learning with R

This book helps readers understand the mathematics of machine learning, and apply them in different situations. The book will be of interest to all researchers who intend to use R for machine learning, and those who are interested in the...
Format: Hardback - Released: 07/12/2017

Pro Deep Learning with TensorFlow A Mathematical Approach to Advanced Artificial Intelligence in Python by Santanu Pattanayak Pro Deep Learning with TensorFlow A Mathematical Approach to Advanced Artificial Intelligence in Python

Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own.Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you...
Format: Paperback - Released: 07/12/2017

Granular Computing Based Machine Learning A Big Data Processing Approach by Han Liu, Mihaela Cocea Granular Computing Based Machine Learning A Big Data Processing Approach
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This book explores the significant role of granular computing in advancing machine learning towards in-depth processing of big data. It begins by introducing the main characteristics of big data, i.e., the five Vs-Volume, Velocity, Variety, Veracity and Variability. The book...
Format: Hardback - Released: 23/11/2017

Machine Learning A Constraint-Based Approach by Marco (Department of Information Engineering and Mathematics, University of Siena, Italy) Gori Machine Learning A Constraint-Based Approach
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Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book presents the information...
Format: Paperback - Released: 13/11/2017

Future and Emerging Trends in Language Technology. Machine Learning and Big Data Second International Workshop, FETLT 2016, Seville, Spain, November 30 -December 2, 2016, Revised Selected Papers by Jose F Quesada Future and Emerging Trends in Language Technology. Machine Learning and Big Data Second International Workshop, FETLT 2016, Seville, Spain, November 30 -December 2, 2016, Revised Selected Papers

This book constitutes revised selected papers from the Second International Workshop on Future and Emerging Trends in Language Technology, FETLT 2016, which took place in Seville, Spain, in November 2016. The 10 full papers and 5 position papers presented in...
Format: Paperback - Released: 29/10/2017

Towards Integrative Machine Learning and Knowledge Extraction BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers by Andreas Holzinger Towards Integrative Machine Learning and Knowledge Extraction BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers

The BIRS Workshop Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of hot topics toward...
Format: Paperback - Released: 29/10/2017

Predictive Analytics with TensorFlow by Md. Rezaul Karim Predictive Analytics with TensorFlow

Accomplish the power of data in your business by building advanced predictive modelling applications with Tensorflow. About This Book * A quick guide to gain hands-on experience with deep learning in different domains such as digit/image classification, and texts *...
Format: Paperback - Released: 26/10/2017

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