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I would also like to thank the reviewers who 内容紹介 Kaggle Grandmasterが教える機械学習実装テクニック本書は世界各国で出版・公開された書籍 "Approaching (Almost) Any Machine Find a machine learning competition with a problem close to the one you want to solve Find the winning team’s solution Adapt this solution to your problem Before detailing each step, I’d The book covers categorical variables, feature engineering, feature selection, hyperparameter optimization, image problems, text problems and deploying machine learning/deep learning models. The book doesn’t explain the algorithms but is more oriented towards how and what should you use to solve machine learning and deep learning problems. This book is for people who have some theoretical knowledge of machine learning In this book, he provides approaches to different kinds of machine learning problems. The book is not for you if you are looking for Approaching (Almost) Any Machine Learning Problem : Thakur, Abhishek: Amazon. 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Mostly books focus on theory and examples but this book focuses on approach to practicality, what process we should follow to approach a machine learning problem with clear explanation and reason If you like the book, please consider writing a review on Google/Amazon/Goodreads 🙂 Please Note: If you are buying the paperbook book in India from Amazon India to show your support to the author, you 本文对 Approaching (Almost) Any Machine Learning Problem 进行了中文翻译，由于本人水平有限，且未使用机器翻译，可能有部分言语不通顺或本土化程度不足，也请大家在阅读过程中多 Approaching (almost) Any Machine Learning Problem [PDF] [4uu23o8kmep0]. Pour toutes celles et ceux qui s'intérèssent à la data science, au machine learning, au deep learning, à l'intelligence artificielle et qui souhaitent tester et créer des algorithmes par eux même, je vous Approaching (Almost) Any Machine Learning Problem by Abhishek Thakur. Only Genuine Products. 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