Hands-On Machine Learning for Algorithmic Trading

With Hands-On Machine Learning for Algorithmic Trading, create your own algorithmic design process to apply probabilistic machine learning approaches to trading decisions. Develop neural networks for algorithmic trading to perform time series forecasting and smart analytics. (Limited-time offer)

Table of Contents

• Machine Learning for Trading
• Market and Fundamental Data
• Alternative Data for Finance
• Alpha Factor Research
• Strategy Evaluation
• The Machine Learning Process
• Linear Models
• Time Series Models
• Bayesian Machine Learning
• Decision Trees and Random Forests
• Gradient Boosting Machines
• Unsupervised Learning
• Working with Text Data
• Topic Modeling
• Word Embeddings
• Deep Learning
• Convolutional Neural Networks
• Recurrent Neural Networks
• Autoencoders and Generative Adversarial Nets
• Reinforcement Learning

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