The Kaggle Book: Master data science competitions with machine learning, GenAI, and LLMs
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The Kaggle Book: Master data science competitions with machine learning, GenAI, and LLMs

by Luca Massaron, Konrad Banachewicz, Bojan Tunguz

Machine Learning Data Science Competitions
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The Kaggle Book explores data science competitions through the lenses of machine learning, generative AI, and large language models. Written by Luca Massaron, Konrad Banachewicz, and Bojan Tunguz, it offers a practical introduction to the methods, tools, and problem-solving approaches associated with Kaggle.

About This Book

The Kaggle Book is a guide to data science competitions and the skills used to tackle them effectively.

It covers machine learning alongside generative AI and large language models, reflecting the changing landscape of practical data science.

Readers can explore approaches for developing competition-focused knowledge, improving technical practice, and applying modern data science methods.

Written by Luca Massaron, Konrad Banachewicz, and Bojan Tunguz, the book is intended for learners and practitioners interested in Kaggle and competitive machine learning.

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I will be using this book for: