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Why Machines Learn: The Elegant Math Behind Modern AI
We are living through a revolution in machine learning-powered AI that shows no signs of slowing down.
Why Machines Learn: The Elegant Math Behind Modern AI
Item #: 117472910

Why Machines Learn: The Elegant Math Behind Modern AI

Item #: 117472910

BDT 3445

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We are living through a revolution in machine learning-powered AI that shows no signs of slowing down.
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What Stands Out

Mathematical Insights
Delve into the elegant mathematical foundations of AI, making complex concepts accessible for readers without extensive math backgrounds, enhancing understanding and appreciation of machine learning.
Comprehensive Approach
Covers both foundational theories and practical applications, ensuring readers gain a balanced perspective, equipping them with the knowledge to navigate modern AI advancements.
Reader-Friendly Style
Written in an engaging manner, this book demystifies AI while stimulating intellectual curiosity, making it suitable for both novices and experienced practitioners in the field.

Product Details

Shop Why Machines Learn: The Elegant Math Behind Modern AI online at a best price in Bangladesh. 0593185749
Publisher Dutton
Publication date July 16, 2024
Language English
Print length 480 pages
ISBN-10 0593185749
ISBN-13 978-0593185742
Item Weight 2.31 pounds (1.05 kg)
Dimensions 6.27 x 1.5 x 9.29 inches (15.9 x 3.8 x 23.6 cm)

Who Should Buy?

Suitable For
  • Students of AI

    Ideal for students pursuing artificial intelligence, providing foundational insights into mathematical principles and algorithms.

  • Tech Professionals

    Beneficial for software engineers and data scientists seeking to deepen their understanding of AI's mathematical underpinnings.

  • Self-Learners

    Great for independent learners who enjoy mathematics and want to explore how it drives modern artificial intelligence.

Not Suitable For
  • Beginners

    Not suitable for complete novices, as it assumes prior knowledge of mathematics and AI concepts.

Product Description

Why Machines Learn: The Elegant Math Behind Modern AI

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Computer Vision & Pattern Recognition Editorial Review

In "Why Machines Learn: The Elegant Math Behind Modern AI," Anil Ananthaswamy skillfully navigates the intricate mathematical principles that form the backbone of contemporary artificial intelligence. This commendable work stands out for its ability to convey complex concepts with clarity, making it accessible not only to seasoned professionals but also to curious novices. Ananthaswamy’s writing, punctuated by a knack for storytelling, transforms the often intimidating world of machine learning into a digestible experience. The book is structured thoughtfully, guiding readers from foundational mathematics to more sophisticated ideas like deep learning and neural networks. Each mathematical concept is carefully contextualized within the realm of AI applications, providing readers with a coherent understanding of why these principles matter in real-world scenarios. Early chapters introduce linear algebra, probability, and optimization, gradually progressing to more complex notions, which some readers find critique-worthy due to their varied mathematical background. However, the overall reception indicates that those willing to engage with the material will benefit significantly, even if they opt to skip more intricate equations. Readers appreciate the author’s commitment to explaining not just the “how,” but also the “why” behind machine learning techniques, enriching their understanding of a field that increasingly influences everyday decisions and technologies. The historical context provided in the book adds depth, showcasing the evolution of algorithms and the minds behind them, which vividly brings the subject to life. Overall, Ananthaswamy delivers a remarkable synthesis of knowledge and insight that caters to tech enthusiasts, students, and lifelong learners, making it a highly recommended read for anyone eager to grasp the beauty of the algorithms powering our increasingly intelligent systems. **

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Pros

  • Clear and accessible explanations of complex mathematical concepts.
  • Engaging storytelling that enhances the learning experience.
  • Includes real-world applications of AI and machine learning.
  • Suitable for a wide audience, not limited to those with a technical background.
  • Covers both foundational mathematics and advanced topics in AI.

Cons

  • The progression of mathematical difficulty may be inConsistent for some readers.

Product Price History

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