Models Demystified: A Practical Guide by Michael Clark (.ePUB)+

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File Size: 20.3 MB

Models Demystified: A Practical Guide from Linear Regression to Deep Learning (Chapman & Hall/CRC Data Science Series) by Michael Clark, Seth Berry
Requirements: .ePUB, .PDF reader, 20.3 MB
Overview: Unlock the Power of Data Science and Machine Learning. In this comprehensive guide, we delve into the world of Data Science, Machine Learning, and AI modeling, providing readers with a robust foundation and practical skills to tackle real-world problems. From basic modeling techniques to advanced Machine Learning algorithms, this book covers a wide range of topics, ensuring that readers at all levels can benefit from its content. Each chapter is meticulously crafted to offer clear explanations, hands-on examples, and code snippets in both Python and R, making complex concepts accessible and actionable. Additional focus is placed on model interpretation and estimation, common data issues, modeling pitfalls to avoid, and best practices for modeling in general. In the end, this book can be a resource for the R user who could use a little help translating their R knowledge to Python. We’d also like it to be a resource for the Python user who sees the value in R’s statistical modeling abilities and more.
Genre: Non-Fiction > Tech & Devices

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