July 2017
Intermediate to advanced
360 pages
8h 26m
English
Overview
Discover the world of machine learning through this comprehensive guide to understanding and implementing key algorithms. With clear explanations and practical insights, this book is your companion for mastering the foundational techniques used in solving real-world data science problems.
What this Book will help me do
- Understand and implement core machine learning algorithms, including SVMs, random forests, and k-means clustering.
- Dive into feature engineering and natural language processing techniques to enhance model performance.
- Gain practical skills for choosing the right algorithms for tasks like classification, regression, and clustering.
- Explore recommendation systems and their applications to improve user experiences.
- Learn to build machine learning architectures from the ground up using tools like TensorFlow.
Author(s)
Written by experienced machine learning professionals, this book reflects a wealth of knowledge in both academic research and practical applications in the field. The authors bring years of experience as educators, practitioners, and advisors, ensuring a careful blend of accessibility and depth in their explanations.
Who is it for?
This book is ideal for professionals looking to step into the field of machine learning. It's particularly suited for individuals with a background in programming, acquainted with languages like Python or R, and is crafted for beginners aiming to develop a robust understanding of machine learning concepts and their applications.
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