In this TensorFlow beginner tutorial, you'll learn how to build a neural network step-by-step and how to train, evaluate and optimize it.

In this tutorial to deep learning in R with RStudio's keras package, you'll learn how to build a Multi-Layer Perceptron (MLP).

A Scikit-Learn tutorial to using logistic regression and random forest models to predict which baseball players will be voted into the Hal…

A scikit-learn tutorial to predicting MLB wins per season by modeling data to KMeans clustering model and linear regression models.

This Keras tutorial introduces you to deep learning in Python: learn to preprocess your data, model, evaluate and optimize neural networks.

New course released today, and one of the first online interactive deep learning course using keras 2.0, Deep Learning in Python by Dan Be…

Machine Learning with the Experts: School Budgets is our latest course taught by Peter Bull. This course is a case study from a machine le…

A beginner's guide to Spark in Python based on 9 popular questions, such as how to install PySpark in Jupyter Notebook, best practices,...

Today we're releasing episode 15 of DataChats. Here, Hugo interviews Andreas Müller about his work at Columbia University, and as a contri…