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Truth Engine: Applying AI to Investing
243 pages, Hardcover
Published November 4, 2023
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November 16, 2023
In Truth Engine, deep learning and artificial intelligence specialist, Dr. Leonidas Tam, presents the application of machine learning in the financial market, covering data gathering, financial risk assessment, decision-making, and portfolio management. With references to literature, history, and philosophy, the author conveys the importance of applying machine learning to investment opportunities. The author covers biased judgments and the ways they may impact financial decisions, touches on environmental safety in business, and strengthens a reader's comprehension of financial markets. By clearly explaining the concepts of artificial intelligence, Dr. Tam illustrates the way machine learning and human thinking can work together to decode market complexities.
Dr. Leonidas Tam offers a guide for navigating the next phase of financial investing while paying careful attention to the role of artificial intelligence. Pivoting on the wisdom of Charlie Munger and examples involving Warren Buffett, Dr. Tam shows his readers how to leverage innovative technology for input in financial decisions. It's best to have some underlying knowledge of the subject matter, as the book is written in a technical format, but the text provides insights that will aid the starting or seasoned investor's research. Readers can rely on Dr. Tam's assessments due to his years of successful experience and degrees from Brown and Yale. Ayesha Rafi's clear and concise charts and graphs help clarify the data for better investment analysis. Truth Engine is a great resource for readers who hope to learn about the future of finance and investing as it is reshaped by advancements in artificial intelligence.
Dr. Leonidas Tam offers a guide for navigating the next phase of financial investing while paying careful attention to the role of artificial intelligence. Pivoting on the wisdom of Charlie Munger and examples involving Warren Buffett, Dr. Tam shows his readers how to leverage innovative technology for input in financial decisions. It's best to have some underlying knowledge of the subject matter, as the book is written in a technical format, but the text provides insights that will aid the starting or seasoned investor's research. Readers can rely on Dr. Tam's assessments due to his years of successful experience and degrees from Brown and Yale. Ayesha Rafi's clear and concise charts and graphs help clarify the data for better investment analysis. Truth Engine is a great resource for readers who hope to learn about the future of finance and investing as it is reshaped by advancements in artificial intelligence.
Displaying 1 of 1 review