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Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically
Item #: 83775035

Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically

Item #: 83775035

KRW 110037

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What Stands Out

Practical Focus
Emphasizes real-world applications of machine learning and AI, empowering engineers to tackle complex business problems effectively beyond algorithmic solutions.
Comprehensive Insights
Offers deep insights into combining engineering with AI, bridging the gap between theoretical knowledge and practical skills for solving unique challenges.
Hands-on Approach
Incorporates hands-on projects, enabling students and professionals to gain practical experience, enhancing their problem-solving capabilities in dynamic environments.

Product Details

Shop Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically online at a best price in South Korea. 1492098051
Publisher O'Reilly Media
Publication date December 20, 2022
Edition 1st
Language English
Print length 425 pages
ISBN-10 1492098051
ISBN-13 978-1492098058
Item Weight 2.31 pounds (1.05 kg)
Dimensions 7 x 1 x 9.25 inches (17.8 x 2.5 x 23.5 cm)

Who Should Buy?

Suitable For
  • Engineering Professionals

    Engineers looking to integrate machine learning into their processes will find applicable strategies and solutions in this book.

  • Data Analysts

    Data analysts who want to approach complex business problems with machine learning and AI techniques can benefit significantly.

  • Business Leaders

    Leaders aiming to leverage AI for business growth will find practical insights for solving non-algorithmic challenges.

Not Suitable For
  • Beginner Learners

    Those with no prior knowledge of machine learning will struggle with the advanced concepts presented in this book.

Product Description

Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically

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Pros

  • Practical business applications
  • Easily understandable concepts
  • Real-world case studies
  • Engaging writing style
  • Helpful for non-experts

Cons

  • Some sections could use more depth.

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