A Comprehensive Approach to Data Science, Machine Learning & AI
Overview
Drawing on decades of experience in both the Intelligence Community and industry, Dr. Roysdon has compiled a text covering 58 of the most consequential and often misunderstood algorithm families in Data Science, Machine Learning, and AI. Each chapter begins with a concise one-sentence overview and an intuitive, non-mathematical illustration designed for non-technical audiences. These illustrations are complemented by 264 from-scratch tutorials in Matlab, Python, and R, which reveal the fundamental concepts typically hidden within machine learning libraries. Additionally, every chapter features a “Math Derivations and Proofs” section that delves into algorithmic details rarely found in other texts. The chapter concludes with a comprehensive list of advantages, limitations, alternatives, and real-world applications, making this text accessible and valuable for both technical and non-technical readers.
To make this book extra special, it is printed with a premium full-color gloss hardcover, and premium 93 opacity 60lb pages with full-color figures.
Notes
Every math example and exercise is new. While math examples tend to be very common, to the point of memorization, e.g., 2 x 2 = 4, all numerical examples in this new edition were generated using a pseudo-random number generator. This was changed so the reader does not become complacent with trivial problems or perceived or familiar “patterns.” Recent psychology research indicates that the reader is more likely to focus on the math task at hand if there is randomness in the numbers.
The original manuscript was unfriendly to colorblind readers; in particular red/green contrasts are troublesome. The new color palette uses orange/blue and red/blue contrast.
To minimize waste and environmental impact in the printing process, this book is printed in the 8.5” x 5.5” format.
Book Details
Publisher: Fibonacci Press
Language: English
Hardback: 840 pages
Dimensions: 5.5 x 8.5 x 3.5 inches
A Comprehensive Approach to Data Science, Machine Learning & AI
Overview
Drawing on decades of experience in both the Intelligence Community and industry, Dr. Roysdon has compiled a text covering 58 of the most consequential and often misunderstood algorithm families in Data Science, Machine Learning, and AI. Each chapter begins with a concise one-sentence overview and an intuitive, non-mathematical illustration designed for non-technical audiences. These illustrations are complemented by 264 from-scratch tutorials in Matlab, Python, and R, which reveal the fundamental concepts typically hidden within machine learning libraries. Additionally, every chapter features a “Math Derivations and Proofs” section that delves into algorithmic details rarely found in other texts. The chapter concludes with a comprehensive list of advantages, limitations, alternatives, and real-world applications, making this text accessible and valuable for both technical and non-technical readers.
To make this book extra special, it is printed with a premium full-color gloss hardcover, and premium 93 opacity 60lb pages with full-color figures.
Notes
Every math example and exercise is new. While math examples tend to be very common, to the point of memorization, e.g., 2 x 2 = 4, all numerical examples in this new edition were generated using a pseudo-random number generator. This was changed so the reader does not become complacent with trivial problems or perceived or familiar “patterns.” Recent psychology research indicates that the reader is more likely to focus on the math task at hand if there is randomness in the numbers.
The original manuscript was unfriendly to colorblind readers; in particular red/green contrasts are troublesome. The new color palette uses orange/blue and red/blue contrast.
To minimize waste and environmental impact in the printing process, this book is printed in the 8.5” x 5.5” format.
Book Details
Publisher: Fibonacci Press
Language: English
Hardback: 840 pages
Dimensions: 5.5 x 8.5 x 3.5 inches