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Machine Learning for Decision Makers

Machine Learning for Decision Makers

by Patanjali Kashyap

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 Decision Makers serves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing ...

Price:  $29.99  |  Publisher:  Apress  |  Release:  2017

Practical Machine Learning with Python

Practical Machine Learning with Python

by Tushar Sharma, Raghav Bali, Dipanjan Sarkar

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 of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book ...

Price:  $14.51  |  Publisher:  Apress  |  Release:  2017

Oracle Business Intelligence with Machine Learning

Oracle Business Intelligence with Machine Learning

by Lakshman Bulusu, Rosendo Abellera

Use machine learning and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. This book follows a when-to, why-to, and how-to approach to explain the key steps involved in utilizing the artificial intelligence components now available for a successful OBIEE implementation. Oracle Business Intelligence with Machine Learning covers various technologies including using Oracle...

Price:  $40.06  |  Publisher:  Apress  |  Release:  2017

Hands-On Machine Learning with Scikit-Learn and TensorFlow

Hands-On Machine Learning with Scikit-Learn and TensorFlow

by Aurelien Geron

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks - scikit-learn and TensorFlo...

Price:  $19.50  |  Publisher:  O'Reilly Media  |  Release:  2017

Metal Programming Guide

Metal Programming Guide

by Janie Clayton

Metal enables Apple developers to maximize performance in demanding tasks like 3D graphics, games, scientific programming, visualization, and GPU-accelerated machine learning. Metal Programming Guide is the authoritative, practical guide to Metal for all iOS programmers who are interested in graphics programming but don't know where to start.Pioneering Apple developer Janie Clayton covers everything fr...

Price:  $39.98  |  Publisher:  Addison-Wesley  |  Release:  2017

Reinforcement Learning

Reinforcement Learning

by Manisha Biswas, Abhishek Nandy

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You'll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process. Reinforcement Learning discusses algorithm implementations important...

Price:  $31.44  |  Publisher:  Apress  |  Release:  2017

Deep Learning

Deep Learning

by Adam Gibson, Josh Patterson

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning - especially deep neural networks - make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks.Auth...

Price:  $15.99  |  Publisher:  O'Reilly Media  |  Release:  2017

Fundamentals of Deep Learning

Fundamentals of Deep Learning

by Nikhil Buduma

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that's paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field.Companies such as Google, Microsoft, and Facebook are actively growing in-house de...

Price:  $30.45  |  Publisher:  O'Reilly Media  |  Release:  2017

Augmented Human

Augmented Human

by Helen Papagiannis

Augmented Reality (AR) blurs the boundary between the physical and digital worlds. In AR's current exploration phase, innovators are beginning to create compelling and contextually rich applications that enhance a user's everyday experiences. In this book, Dr. Helen Papagiannis - a world-leading expert in the field - introduces you to AR: how it's evolving, where the opportunities are, and wh...

Price:  $32.78  |  Publisher:  O'Reilly Media  |  Release:  2017

Kubernetes: Up and Running

Kubernetes: Up and Running

by Brendan Burns, Kelsey Hightower, Joe Beda

Legend has it that Google deploys over two billion application containers a week. How's that possible? Google revealed the secret through a project called Kubernetes, an open source cluster orchestrator (based on its internal Borg system) that radically simplifies the task of building, deploying, and maintaining scalable distributed systems in the cloud. This practical guide shows you how Kubernetes an...

Price:  $15.97  |  Publisher:  O'Reilly Media  |  Release:  2017

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