Quantitative Trading: Data and Machine Learning (ML)

Analysts developing data models face a number of key data challenges, including biases – such as confirmation and availability biases – bad data, and model inaccuracies. One key type of data model, known as machine learning, allows the user to query the model for answers to simple questions.

This course provides an overview of major pitfalls in developing data models and discusses the importance of Machine Learning (ML) in detail.