If you've ever wondered how your favorite apps seem to know what you like, or how self-driving cars navigate the streets, you're in the right place. In this article, we'll break down the basics of machine learning in a friendly and approachable way, making it easy for anyone to understand.
An overview of neural networks and deep learning - introductory quick read-up, including their use cases, and pros and cons for each technique.
Summary of the ideal use cases for models implemented in the scikit-learn Python library for machine learning.
A small curated list of Python libraries and frameworks in use for Data Science, Quantitative Development and other technical use cases. Of course, you may need any of these in other domains as well.
List and summary description of many Python libraries and frameworks that are used in the Data Science community in particular.