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    Machine Learning And Ai Beyond The Basics

Machine Learning And Ai Beyond The Basics

Sebastian Raschka
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      If you've locked down the basics of machine learning and AI and want a fun way to address lingering knowledge gaps, this book is for you. This rapid-fire series of short chapters addresses 30 essential questions in the field, helping you stay current on the latest technologies you can implement in your own work. Each chapter of Machine Learning and AI Beyond the Basics asks and answers a central question, with diagrams to explain new concepts and ample references for further reading. This practical, cutting-edge information is missing from most introductory coursework, but critical for real-world applications, research, and acing technical interviews. You won't need to solve proofs or run code, so this book is a perfect travel companion. You'll learn a wide range of new concepts in deep neural network architectures, computer vision, natural language processing, production and deployment, and model evaluation, including how to: Reduce overfitting with altered data or model modification
      Format: CONTRIBUTORS: Sebastian Raschka EAN: 9781718503762 COUNTRY: United States PAGES: WEIGHT: 0 g HEIGHT: 234 cm
      PUBLISHED BY: No Starch Press,US DATE PUBLISHED: 2024-04-16 CITY: GENRE: COMPUTERS / Artificial Intelligence / Natural Language Processing, COMPUTERS / Data Science / Machine Learning, MATHEMATICS / Probability & Statistics / Regression Analysis WIDTH: 177 cm SPINE:

      Book Themes:

      Computer programming / software engineering

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      Sebastian Raschka, PhD, is a machine learning and AI researcher with a  passion for education. As Lead AI Educator at Lightning AI, he is excited about making AI and deep learning more accessible. Raschka previously was Assistant Professor of Statistics at the University of Wisconsin-Madison, where he specialized in researching deep learning and machine learning, and is the author of the bestselling books Python Machine Learning and Machine Learning with PyTorch and Scikit-Learn. You can find out more about his research on his website at https://sebastianraschka.com.
      If you've locked down the basics of machine learning and AI and want a fun way to address lingering knowledge gaps, this book is for you. This rapid-fire series of short chapters addresses 30 essential questions in the field, helping you stay current on the latest technologies you can implement in your own work. Each chapter of Machine Learning and AI Beyond the Basics asks and answers a central question, with diagrams to explain new concepts and ample references for further reading. This practical, cutting-edge information is missing from most introductory coursework, but critical for real-world applications, research, and acing technical interviews. You won't need to solve proofs or run code, so this book is a perfect travel companion. You'll learn a wide range of new concepts in deep neural network architectures, computer vision, natural language processing, production and deployment, and model evaluation, including how to: Reduce overfitting with altered data or model modification
      Format: CONTRIBUTORS: Sebastian Raschka EAN: 9781718503762 COUNTRY: United States PAGES: WEIGHT: 0 g HEIGHT: 234 cm
      PUBLISHED BY: No Starch Press,US DATE PUBLISHED: 2024-04-16 CITY: GENRE: COMPUTERS / Artificial Intelligence / Natural Language Processing, COMPUTERS / Data Science / Machine Learning, MATHEMATICS / Probability & Statistics / Regression Analysis WIDTH: 177 cm SPINE:

      Book Themes:

      Computer programming / software engineering

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      Be the first to write a review
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      Sebastian Raschka, PhD, is a machine learning and AI researcher with a  passion for education. As Lead AI Educator at Lightning AI, he is excited about making AI and deep learning more accessible. Raschka previously was Assistant Professor of Statistics at the University of Wisconsin-Madison, where he specialized in researching deep learning and machine learning, and is the author of the bestselling books Python Machine Learning and Machine Learning with PyTorch and Scikit-Learn. You can find out more about his research on his website at https://sebastianraschka.com.

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