Machine Learning with Python for Everyone
Book Details
Delivery Location
Delivery fee: Select location
Delivery in 14 days
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.
Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you''re an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning.
Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you''ll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field''s most sophisticated and exciting techniques. Whether you''re a student, analyst, scientist, or hobbyist, this guide''s insights will be applicable to every learning system you ever build or use.
- Understand machine learning algorithms, models, and core machine learning concepts
- Classify examples with classifiers, and quantify examples with regressors
- Realistically assess performance of machine learning systems
- Use feature engineering to smooth rough data into useful forms
- Chain multiple components into one system and tune its performance
- Apply machine learning techniques to images and text
- Connect the core concepts to neural networks and graphical models
- Leverage the Python scikit-learn library and other powerful tools
Get Machine Learning with Python for Everyone by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Pearson Education (US) and it has pages.
