Machine Learning in Finance - Bob Mather - Bog

Are you a machine learning enthusiast looking for a practical day to day application? Or are you just trying to incorporate machine learning software in your trading decisions?
This book is your answer.
While machine learning and finance have generally been seen as separate entities, this book looks at several applications of machine learning in the financial world. Whether it is predicting the best time to buy a stock in a day trading scenario, or to determine the long term value of a stock; financial ratios and common sense have always been used as reliable indicators.
But how do these compare about advanced machine learning algorithms like clustering and regression? When would be the best time to use these?
While machine learning and finance have generally been seen as separate entities, this book looks at several applications of machine learning in the financial world. Whether it is predicting the best time to buy a stock in a day trading scenario, or to determine the long term value of a stock; financial ratios and common sense have always been used as reliable indicators.
But how do these compare about advanced machine learning algorithms like clustering and regression? When would be the best time to use these?
What's Included In This Book:

What is Financial Machine Learning
Developing a Trading Strategy for Stocks
Machine Learning to Determine Current Value of Stocks
Optimal Time to Buy Stocks
Machine Learning Algorithm to Predict When to Sell a Stock
Determine Value of a Penny Stock
Trading Automation Software
Conclusion