Thank you for shopping The Bookman's on-line store! If you find a title on our site, and wonder if we have it in-stock in our Washington Avenue home, please give us a call at (616) 846-3520. Online orders will be shipped to your home, office, or gift recipient!

You are here

Back to top

Machine Learning with Python for Everyone (Addison-Wesley Data & Analytics) (Paperback)

Machine Learning with Python for Everyone (Addison-Wesley Data & Analytics) Cover Image
List Price: $49.99
Our Price: $44.99
(Save: $5.00 10%)

Description


Business analysts, managers, researchers, and students are rushing to master powerful machine learning techniques for improving decision-making and scaling analysis to immense datasets. Machine Learning with Python for Everyone brings together all they'll need to succeed: a practical understanding of the machine learning process, accessible code, skills for implementing that process with Python and the scikit-learn library, and real expertise in using learning systems intelligently. Reflecting 20 years of experience teaching non-specialists, Dr. Mark Fenner teaches through carefully-crafted datasets that are complex enough to be interesting, but simple enough for non-specialists. Building on this foundation, Fenner presents real-world case studies that apply his lessons in detailed, nuanced ways. Throughout, he offers clear narratives, practical "code-alongs," and easy-to-understand images -- focusing on mathematics only where it's necessary to make connections and deepen insight.

About the Author


Dr. Mark Fenner, owner of Fenner Training and Consulting, LLC, has taught computing and mathematics to diverse adult audiences since 1999, and holds a PhD in computer science. His research has included design, implementation, and performance of machine learning and numerical algorithms; developing learning systems to detect user anomalies; and probabilistic modeling of protein function.

Product Details
ISBN: 9780134845623
ISBN-10: 0134845625
Publisher: Addison-Wesley Professional
Publication Date: August 16th, 2019
Pages: 592
Language: English
Series: Addison-Wesley Data & Analytics