Machine Learning

Hands-On for Developers and Technical Professionals

Nonfiction, Science & Nature, Mathematics, Statistics, Computers, Programming
Cover of the book Machine Learning by Jason Bell, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Jason Bell ISBN: 9781118889497
Publisher: Wiley Publication: October 20, 2014
Imprint: Wiley Language: English
Author: Jason Bell
ISBN: 9781118889497
Publisher: Wiley
Publication: October 20, 2014
Imprint: Wiley
Language: English

Dig deep into the data with a hands-on guide to machine learning

Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. A core tenant of machine learning is a strong focus on data preparation, and a full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data. The book includes a full complement of Instructor's Materials to facilitate use in the classroom, making this resource useful for students and as a professional reference.

At its core, machine learning is a mathematical, algorithm-based technology that forms the basis of historical data mining and modern big data science. Scientific analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data. Machine Learning is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to:

  • Learn the languages of machine learning including Hadoop, Mahout, and Weka
  • Understand decision trees, Bayesian networks, and artificial neural networks
  • Implement Association Rule, Real Time, and Batch learning
  • Develop a strategic plan for safe, effective, and efficient machine learning

By learning to construct a system that can learn from data, readers can increase their utility across industries. Machine learning sits at the core of deep dive data analysis and visualization, which is increasingly in demand as companies discover the goldmine hiding in their existing data. For the tech professional involved in data science, Machine Learning: Hands-On for Developers and Technical Professionals provides the skills and techniques required to dig deeper.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Dig deep into the data with a hands-on guide to machine learning

Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. A core tenant of machine learning is a strong focus on data preparation, and a full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data. The book includes a full complement of Instructor's Materials to facilitate use in the classroom, making this resource useful for students and as a professional reference.

At its core, machine learning is a mathematical, algorithm-based technology that forms the basis of historical data mining and modern big data science. Scientific analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data. Machine Learning is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to:

By learning to construct a system that can learn from data, readers can increase their utility across industries. Machine learning sits at the core of deep dive data analysis and visualization, which is increasingly in demand as companies discover the goldmine hiding in their existing data. For the tech professional involved in data science, Machine Learning: Hands-On for Developers and Technical Professionals provides the skills and techniques required to dig deeper.

More books from Wiley

Cover of the book Ancient Epic by Jason Bell
Cover of the book Flexible and Stretchable Medical Devices by Jason Bell
Cover of the book Crossover Designs by Jason Bell
Cover of the book Hannah's Dress by Jason Bell
Cover of the book Equine Behaviour by Jason Bell
Cover of the book On Target by Jason Bell
Cover of the book Weight Loss Surgery For Dummies by Jason Bell
Cover of the book Validierung in der Analytik by Jason Bell
Cover of the book Can the Welfare State Survive? by Jason Bell
Cover of the book Dear Celebrity by Jason Bell
Cover of the book Financial Statement Fraud by Jason Bell
Cover of the book The Second Leg Down by Jason Bell
Cover of the book Environmental Philosophy by Jason Bell
Cover of the book Reproduction in Farm Animals by Jason Bell
Cover of the book Materials and Infrastructures 1 by Jason Bell
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy