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The 10th anniversary edition of The Data Science Book by Brett Lantz is now available, featuring 50% new content for R 4.0.0 and beyond. This updated edition explores the essential aspects of data pre-processing, uncovering insights, making predictions, and visualizing findings.

The book includes several new chapters that highlight the advancements in machine learning over the past few years. These additions aim to help readers enhance their data science skills and tackle more complex problems. Topics covered in the book include building successful machine learning models, advanced data preparation techniques, and utilizing big data.

The end-to-end process of machine learning is thoroughly explained, starting from raw data and concluding with implementation. The book guides readers through classification using nearest neighbor and Bayesian methods, predicting future events using decision trees, rules, and support vector machines, forecasting numeric data, estimating financial values using regression methods, and modeling complex processes with artificial neural networks.

Data preparation is a crucial step in the data science process, and the book demonstrates how to prepare, transform, and clean data using the tidyverse. It also offers guidance on evaluating models and improving their performance.

Additionally, The Data Science Book provides insights into connecting R to SQL databases, as well as emerging big data technologies such as Spark, Hadoop, H2O, and TensorFlow.

This 10th anniversary edition is a valuable resource for intermediate R developers and anyone interested in artificial intelligence and machine learning. It offers practical knowledge and techniques that can be applied to real-world data science projects.

For more information on The Data Science Book and other featured books, visit the Book Watch section on I Programmers website or follow @bookwatchiprog on Twitter.

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The Data Science Book: 10th Anniversary Edition - Fagen wasanni