Neural Networks and Deep Learning - A high level overview
An overview of neural networks and deep learning - introductory quick read-up, including their use cases, and pros and cons for each technique.
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.
List and summary description of many Python libraries and frameworks that are used in the Data Science community in particular.
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.
An introduction to Machine Learning Classification, models, applicability and scikit-learn specifics to get an initial overview of what's possible.