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The long awaited book, Machine Learning and Data Science, has been released
Machine Learning and Data Science provides professionals from varied disciplines with the tools and techniques required to transition to the field of data science and excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised machine learning, unsupervised machine learning and model evaluation.
Machine learning and data science are large disciplines, requiring years of study in order to gain proficiency. This book can be viewed as a set of essential tools we need for a long-term career in the data science field – recommendations are provided for further study in order to build advanced skills in tackling important data problem domains.
The R statistical environment was chosen for use in this book. R is a growing phenomenon worldwide, with many data scientists using it exclusively for their project work. All of the code examples for the book are written in R. In addition, many popular R packages and data sets will be used.
“I am very excited about Machine Learning and Data Science,” says Steve Hoberman, President of Technics Publications. “There are a lot of books out there in this area but many are very high level and others are extremely technical. This book offers a nice balance of technical depth, sure to please the spectrum of manager to data analyst to data scientist.”
Machine Learning and Data Science is available through all booksellers including Amazon in both print and electronic formats such as Kindle. It is also available through the publisher website: