ML & DL — Machine Learning and Deep Learning 101

In this series, an introduction to the basic notions that involve the concept of Machine Learning and Deep Learning will be presented.

machine learning and deep learning 101 by ma. fernanda rodríguez r.

Next, a complete list of our articles covers the development environment and some of the leading models of machine learning and deep learning.

The models include a brief theoretical introduction and practical implementations developed using Python and Keras/TensorFlow in Jupyter.

Development environment

ML & DL — Development environment (Part 1)

Machine learning models

ML & DL — Linear regression (Part 2)

ML & DL — Logistic regression (Part 3)

ML & DL — Artificial neural networks (Part 4)

Deep learning models

ML & DL — Deep artificial neural networks (Part 5)

ML & DL — Convolutional neural networks (Part 6)

Github repository with all models implementations

mafda/deep_learning_101