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Black Box Tactics
Best practices for AI, from the world of algorithmic trading
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About the Book
Algorithmic ("algo") trading an AI have a lot in common. Both fields use data analysis and advanced mathematical models in the pursuit of profit.
The difference is that algorithmic trading has a long head start on AI. During this time, traders have developed deep knowledge about the "black box" systems they set out in the financial markets. They've learned what works and what doesn't. And they've honed the practices that allow them to turn profit in a fast-paced, volatile space while protecting themselves from financial ruin.
If it works for them, it can work for you. Your company's AI efforts will benefit from algo traders' best practices. This book will show you how.
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About the Author
Q McCallum
Hi! I'm Q McCallum. I work as a consultant, researcher, and writer -- with a focus on the intersection of AI and risk.
I host a blog on my website and write a newsletter called Complex Machinery.
My other written work includes Understanding Patterns of Disruption: Lessons Learned from the Cloud, Machine Learning, and More; Business Models for the Data Economy; Parallel R: Data Analysis in the Distributed World; and Bad Data Handbook: Mapping the World of Data Problems. I also write the occasional piece on O'Reilly Radar.
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