Truth Engine
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Truth Engine

Applying AI to Investing

About the Book

An Amazon bestseller (Stock Market Investing and AI & Semantics categories). Unlock the future of finance with this definitive guide to machine learning in investing. Following the wisdom of Charlie Munger, the book equips you with multifaceted mental models to decipher the complexities of the market. Master machine learning principles that sharpen your insights, fortify your strategies with advanced tools like generative AI, and build intuition around data's nuanced role in your models. Systems design, portfolio optimization, and performance evaluation? Covered. Navigate the murky waters of cognitive biases and leverage generative AI to elevate quantitative analysis. You are equipping for the next evolution in intrinsic value investing. Prepare to redefine the boundaries of what's possible in comprehensive investing.

About the Author

Leonidas Tam
Leonidas Tam

Leo is the Co-Founder and Managing Partner of Amicus Investments, an ML research and advisory firm. He is a seasoned leader in AI, having founded and launched the NVIDIA Deep Learning Institute, the global educational and professional development organization. Previously, he was a Senior Research Scientist at NVIDIA and a research scientist at Stanford University Department of Radiology. At Stanford, he demonstrated outstanding performance in competitions, placing in the top 3% of a competition sponsored by the California Healthcare Foundation, and securing second place in a commodities trading contest. He holds multiple patents in deep learning and machine learning. Leo earned his BSc in Mathematics-Physics from Brown University and Engineering PhD from Yale University.

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