I will list a few reasons why i think each is a good book to pick up and read for a beginner data mining practical machine learning tools and techniques i started with this book and it made a big impression on me back in the day introduction to applied machine learning forget the mention of data mining in the title. Explains how machine learning algorithms for data mining work helps you compare and evaluate the results of different techniques covers performance improvement techniques including input preprocessing and combining output from different methods features in depth information on probabilistic models and deep learning. Data mining with weka discover practical data mining and learn to mine your own data using the popular weka workbench describe the principles behind many modern machine learning methods the university of waikato prepares students to think critically and to show initiative in their learning join this course. The objective of this course is to give you a holistic understanding of machine learning covering theory application and inner workings of supervised unsupervised and deep learning algorithms . Detailed tutorial on practical guide to text mining and feature engineering in r to improve your understanding of machine learning also try practice problems to test improve your skill level
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