This article maps a possible curriculum for becoming a data scientist and discusses where to begin learning the field.
Data Science 101 vs Artificial Intelligence: A Modern Approach
How do Data Science 101 and Artificial Intelligence: A Modern Approach compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Data Science 101 | Artificial Intelligence: A Modern Approach |
|---|---|---|
| What it is | Data Science 101 is Ryan Swanstrom’s blog about learning to become a data scientist. | The Artificial Intelligence: A Modern Approach textbook site includes courses, exercises, and related resources. |
| Website | ||
| Type | Online tool | Website |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Web |
| Open source | Not stated | Not stated |
| Language | English | — |
| Alternatives |
Other options to consider
Sites similar to both Data Science 101 and Artificial Intelligence: A Modern Approach.
This repository contains Jupyter notebooks for an introductory video series on machine learning with scikit-learn.
Study algorithms implemented in C++ through this open-source learning repository.
Follow a 100-day sequence of machine-learning coding exercises in this repository.
Practical Deep Learning for Coders is a free course on applying deep learning and machine learning, designed for people with coding experience.
Bird Sounds presents a collection of bird recordings, with sounds credited to the Macaulay Library and collaborators.




