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Machine Learning, AI & more
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Machine Learning
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Artificial Intelligence
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Deep Learning
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Language Processing (NLP, LLM)
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Sharing the knowledge of experts
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From the Publisher
From the Preface
What to Expect
This book gives in-depth examples of solving common structured data problems. It walks through various libraries and models, their trade-offs, how to tune them, and how to interpret them.
The code snippets are meant to be sized such that you can use and adapt them in your own projects.
Who This Book Is For
If you are just learning machine learning, or have worked with it for years, this book should serve as a valuable reference. It assumes some knowledge of Python, and doesn’t delve at all into syntax. Rather it shows how to use various libraries to solve real-world problems.
This will not replace an in-depth course, but should serve as a reference of what an applied machine learning course might cover. (Note: The author uses it as a reference for the data analytics and machine learning courses he teaches.)
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About the author
