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.
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