Machine Learning

To write the machine learning and deep learning applications that create your business edge

An introduction to the use of the scikit-learn package in the application of machine learning algorithms, as a way to optimize the programming process to focus our efforts into improving results.

Introducing the study of machine learning and deep learning algorithms for financial practitioners.

A hands-on course to speed up the predicting power of machine learning algorithms

Solve real-world data problems with R and machine learning

Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorch

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.

Learn how to leverage well-proven ML algorithms to solve day-to-day ML problems

Learn how to build complete machine learning systems with IBM Cloud and Watson Machine learning services

Intuitive strategies to deal with messy data, weak models, and leaky machine-learning pipelines

Introducing the study of machine learning and algorithmic trading for financial practitioners

Bring Machine Learning to your browser!