Appendix 2. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Statistics for Data ScienceJames D. Miller

ISBN: 978-1-78829-067-8

• Analyze the transition from a data developer to a data scientist mindset
• Get acquainted with the R programs and the logic used for statistical computations
• Understand mathematical concepts such as variance, standard deviation, probability, matrix calculations, and more
• Learn to implement statistics in data science tasks such as data cleaning, mining, and analysis
• Learn the statistical techniques required to perform tasks such as linear regression, regularization, model assessment, boosting, SVMs, and working with neural networks
• Get comfortable with performing various statistical computations for data science programmatically

Data Science Algorithms in a WeekDávid Natingga

ISBN: 978-1-78728-458-6

• Find out how to classify using Naive Bayes, Decision Trees, and Random Forest to achieve accuracy to solve complex problems
• Identify a data science problem correctly and devise an appropriate prediction solution using Regression and Time-series
• See how to cluster data using the k-Means algorithm
• Get to know how to implement the algorithms efficiently in the Python and R languages