Author: Vincent Granville
The following resources and books were hand-picked, and curated by one of our interns. They cover many topics of interest to data scientists, and most are relatively recent (last 12 months.)
- Which Programming Language to Choose?
- Large Collection of Cheat Sheets – Neural Nets, Numpy, Pandas, Matplotlib, Scikit and ML
- Free New Book by Andrew Ng: Machine Learning Yearning
- The Browser of a Data Scientist
- Traditional Programming versus Machine Learning, in One Picture
- 15 Data Science and Machine Learning Courses from Top Schools
- Free Book: Process Improvement Using Data
- 7 Books About Machine Learning, Statistics, and Python
- Free Book: The Definitive Guide to Pandas
- Free Book: Introduction to Statistics
- Competition: Explaining black box machine learning models
- Book: The Master Algorithm
- Machine Learning Process Summarized in Two Pictures
- Book: Artificial Intelligence with Python
- If Coffee in the Morning does not Wake you up… (funny)
- Book: Artificial Intelligence with Python
- Book: Blockchain Basics: A Non-Technical Introduction in 25 Steps
See our previous selection here.
DSC Resources
- Book and Resources for DSC Members
- New Perspectives on Statistical Distributions and Deep Learning
- Comprehensive Repository of Data Science and ML Resources
- Advanced Machine Learning with Basic Excel
- Difference between ML, Data Science, AI, Deep Learning, and Statistics
- Selected Business Analytics, Data Science and ML articles
- Hire a Data Scientist | Search DSC | Find a Job
- Post a Blog | Forum Questions