Introduction

Introductory session that covers basic maths for deep learning: Linear Algebra, Statistics and Calculus + a quick overview of traditional NLP

Learning Objective

Required Readings

Chapter 2 of “Natural Language Processing with PyTorch”

Optional Readings

Chapter 2 of Mathematics for Machine Learning