Practical Machine Learning with Python Practical Machine Learning with Python

Practical Machine Learning with Python

A Problem-Solver's Guide to Building Real-World Intelligent Systems

Dipanjan Sarkar 및 다른 저자
    • US$59.99
    • US$59.99

출판사 설명

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner.  

The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python follows a structured and comprehensive three-tiered approach packed with hands-on examples and code.
Part 1 focuses on understanding machine learning concepts and tools. Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. Part 3 explores multiple real-world casestudies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. 
Practical Machine Learning with Python will empower you to start solving your own problems with machine learning today!
You will:Execute end-to-end machine learning projects and systems
Implement hands-on examples with industry standard, open source, robust machine learning tools and frameworks
Review case studies depicting applications of machine learning and deep learning on diverse domains and industriesApply a wide range of machine learning models including regression, classification, and clustering.

장르
컴퓨터 및 인터넷
출시일
2017년
12월 20일
언어
EN
영어
길이
555
페이지
출판사
Apress
판매자
Springer Nature B.V.
크기
11.2
MB
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