7 Free Programming Books every Data Scientist should read in 2020. These free books will show you how to develop skills which many Data Scientists lack.
Two weeks ago I’ve published 7 Free eBooks every Data Scientist should read in 2020. I’ve got an amazing response! So the natural thing was to expand on this topic.
Real-world Data Science is not just about fitting models. Data Scientists also need to learn about the best coding practices, Bash, Git and basic web frameworks. Books in this article will help you develop those skills.
Many readers commented, “I don’t have time to read”.
Programming books are not novels that you have to read from start to finish. I try to read 10% of a technical book — usually not from the start. I skim the table of contents. This way I learn the gist of the book.
When I’m faced with a problem in the real world, I know where to find the solution.
In case you would like to invest in yourself check the following courses:
- Your First Machine Learning Model in the Cloud - Intro to Machine Learning - Intro to Programming - Data Science for Business Leaders - AI for Healthcare - Autonomous Systems - Learn SQL - Free skill tests for Data Scientists & Machine Learning Engineers
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Artificial Intelligence, Machine Learning, and Data Science are amongst a few terms that have become extremely popular amongst professionals in almost all the fields.
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In this tutorial on "Data Science vs Machine Learning vs Artificial Intelligence," we are going to cover the whole relationship between them and how they are different from each other.
Explore the differences between Data Science, Machine Learning, Artificial Intelligence. Understand how DS, ML, and AI is extremely inter-related. Choose the Right career path!