The Little Book of Big Profits from Small Stocks + Website: Why You'll Never Buy a Stock Over $10 Again (Little Books. Big Profits) by Hilary Kramer (Author), Louis Navellier (Foreword)

The Little Book of Big Profits from Small Stocks + Website: Why You'll Never Buy a Stock Over $10 Again (Little Books. Big Profits) by Hilary Kramer (Author), Louis Navellier (Foreword)

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The Little Book of Big Profits from Small Stocks + Website: Why You'll Never Buy a Stock Over $10 Again (Little Books. Big Profits) by Hilary Kramer (Author), Louis Navellier (Foreword)This comprehensive book provides valuable insights for investors looking to maximize their profits from small stocks. Written by financial expert Hilary Kramer with a foreword by Louis Navellier, it includes a website for additional resources. Learn how to never overspend on stocks over $10 and increase your market gains with this informative and practical guide.

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One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it

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Reviewed in the United States on April 5, 2025

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Rafael Azevedo Souza Costa

San Leandro, US

★★★★★ 5

Great examples and practical explanations

Format: Paperback

Excellent book. Highly recommend

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Reviewed in the United States on May 19, 2025

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Thomas

Battle Creek, US

★★★★★ 5

Great for intuitive understanding

Format: Paperback

Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.

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Reviewed in the United States on May 4, 2024

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La Monte HP Yarroll

Houston, US

★★★★★ 5

Taught me backpropagation

Format: Paperback

I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.

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Reviewed in the United States on April 13, 2025

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3rd Act

Bozeman, US

★★★★★ 5

An Easy Read

Format: Paperback

A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.

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Reviewed in the United States on May 7, 2024