Ebook: Machine Learning for Finance: the Practical Guide to Using Data-Driven Algorithms in Banking, Insurance, and Investments

Cover; Copyright; Mapt upsell; Contributors; Table of Contents; Preface; Chapter 1: Neural Networks and Gradient-Based Optimization; Our journey in this book; What is machine learning?; Supervised learning; Unsupervised learning; Reinforcement learning; The unreasonable effectiveness of data; All models are wrong; Setting up your workspace; Using Kaggle kernels; Running notebooks locally; Installing TensorFlow; Installing Keras; Using data locally; Using the AWS deep learning AMI; Approximating functions; A forward pass; A logistic regressor; Python version of our logistic regressor;Machine Learning for Finance shows you how to build machine learning models for use in financial services organizations. It shows you how to work with all the key machine learning models, from simple regression to advanced neural networks. You will use machine learning to automate manual tasks, address systematic bias, and find new insights ...