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Can I read Practical Machine Learning with Python : A Problem-Solver’s Guide to Building Real-World Intelligent Systems on EtoBox?
Practical Machine Learning with Python : A Problem-Solver’s Guide to Building Real-World Intelligent Systems by Dipanjan Sarkar, Raghav Bali, Tushar Sharma is a nonfiction available to read on EtoBox.
What is Practical Machine Learning with Python : A Problem-Solver’s Guide to Building Real-World Intelligent Systems about?
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. This includes machine learning basics with a broad overview of algorithms, techniques, concepts and applications, followed by a tour of the entire Python machine learning ecosystem. Brief guides for useful machine learning tools, libraries and frameworks are also covered. Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. You will learn how to process, wrangle, summarize and visualize
Who reads Practical Machine Learning with Python : A Problem-Solver’s Guide to Building Real-World Intelligent Systems?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Dipanjan Sarkar, Raghav Bali, Tushar Sharma
- Publisher
- Springer-Verlag New York Inc.; Springer; Springer Science+Business Media
- Published
- 2017
- Language
- EN
- ISBN
- 9781484232064
- Category
- nonfiction
- Subjects
- Language Learning, Science, Mathematics
- Rating
- 4.63 / 5 (577 ratings)
- Updated
- 2026-03-14
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