The Bootcamp on Machine Learning for Finance is a highly anticipated follow up to two very successful events previously held at the Fields Institute in May 2015 (Workshop on Big Data in Commercial and Retail Banking) and May 2017 (Big Data for Quants Boot Camp), focusing on training graduate students and financial practitioners in state-of-the-art data analytics techniques. This edition of the event will focus on advanced machine learning techniques currently being used in the financial industry, as well as novel techniques at the forefront of academic research. Topics include unsupervised and supervised machine learning, data mining and applications in predictive and risk analytics, fraud detection and consumer finance, convolution neural networks, recurrent neural networks, and deep reinforcement learning, image recognition, high-frequency models of financial markets, and credit risk analytics.