################################################## Computational Statistics:  Computational Statistics by Geof H. Givens and Jennifer A. Hoeting | Nov 6, 2012 Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series) Part of: Adaptive Computation and Machine Learning series (13 books) | by Kevin P. Murphy | Mar 1, 2022 Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs, Series Number 5) Part of: Institute of Mathematical Statistics Monographs (4 books) | by Bradley Efron and Trevor Hastie | Jul 21, 2016 Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences (Chapman & Hall/CRC Texts in Statistical Science) 1st Edition by Robert B. Gramacy (Author) ################################################## Machine Learning: An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) Part of: Springer Texts in Statistics (105 books) | by Gareth James , Daniela Witten , et al. | Jul 30, 2021 The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) Part of: Springer Series in Pharmaceutical Statistics (7 books) | by Trevor Hastie , Robert Tibshirani , et al. | Apr 21, 2017 Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series) Part of: Adaptive Computation and Machine Learning series (13 books) | by Kevin P. Murphy | Mar 1, 2022 Deep Learning (Adaptive Computation and Machine Learning series) Illustrated Edition by Ian Goodfellow (Author), Yoshua Bengio (Author), Aaron Courville (Author) Deep Learning with Python, Second Edition 2nd Edition by Francois Chollet (Author) (there is also an R version of the book). Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools 1st Edition, Kindle Edition by Luca Pietro Giovanni Antiga (Author), Eli Stevens (Author), Thomas Viehmann (Author) Format: Kindle Edition ################################################## Python: The help in Jupyter notebook is great! And places like python.org tend to be really good. Python Distilled (Developer's Library) Part of: Developer's Library (71 books) | by David Beazley | Sep 22, 2021 Introducing Python: Modern Computing in Simple Packages 2nd Edition by Bill Lubanovic (Author) Python Data Science Handbook: Essential Tools for Working with Data 2nd Edition by Jake VanderPlas (Author) (great overall tour of python, numpy, pandas, matplotlib, and machine learning) Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter 3rd Edition by Wes McKinney (Author) (first chunk is a very good is a very good, quick intro to python, numpy and pandas. Rest of book is detailed intro to data wrangling with python). Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 3rd Edition by Aurélien Géron (Author) (very good tour of doing machine learning with Scikit-Learn, the fundamental python software for machine Learning) ################################################## R: https://cran.r-project.org/doc/manuals/r-release/R-intro.pdf (this can get quite technical but generally the first part of each section is readable and excellent). https://swirlstats.com/ Introduction to Data Science: Data Analysis and Prediction Algorithms with R (Chapman & Hall/CRC Data Science Series) 1st Edition by Rafael A. Irizarry (Author) (Ed George likes this one!, Ed says it can be found free online, does a great job of teaching base R and the tidyverse.) Machine Learning with R: Expert techniques for predictive modeling, 3rd Edition 3rd Edition by Brett Lantz (Author) Hands-On Machine Learning with R (Chapman & Hall/CRC The R Series) 1st Edition by Brad Boehmke (Author), Brandon M. Greenwell (Author) R for Data Science: Import, Tidy, Transform, Visualize, and Model Data 1st Edition by Garrett Grolemund (Author), Hadley Wickham (Author) (https://r4ds.had.co.nz/, note that a second edition is coming out and a link is give at this link) Advanced R, Second Edition (Chapman & Hall/CRC The R Series) 2nd Edition by Hadley Wickham (Author)