"Machine Learning with Pytorch and Scikit-Learn: Develop Machine Learning and Deep Learning Models" is a comprehensive textbook published in 2022 by Packt Publishing. Written by authors Yuxi (Hayden) Liu, Vahid Mirjalili, Dmytro Dzhulgakov, and Sebastian Raschka, the book covers topics such as expert systems, neural networks, and speech & audio processing. It is designed for students and professionals in the field of computer science and utilizes English language. The trade paperback format makes it convenient for studying and reference purposes.

"Machine Learning with Pytorch and Scikit-Learn: Develop Machine Learning and Deep Learning Models" is a comprehensive textbook published in 2022 by Packt Publishing. Written by authors Yuxi (Hayden) Liu, Vahid Mirjalili, Dmytro Dzhulgakov, and Sebastian Raschka, the book covers topics such as expert systems, neural networks, and speech & audio processing. It is designed for students and professionals in the field of computer science and utilizes English language. The trade paperback format makes it convenient for studying and reference purposes.

Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.

Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.

"Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and PB" is a textbook published in English in 2022 by Packt Publishing, The Limited. It covers various subject areas such as computers, science, and focuses on machine learning techniques. The book's authors, Yuxi (Hayden) Liu, Vahid Mirjalili, Dmytro Dzhulgakov, and Sebastian Raschka, provide in-depth explanations on expert systems, neural networks, and speech & audio processing. With a trade paperback format, this textbook serves as a valuable resource for those looking to deepen their understanding and skills in machine learning using PyTorch and Scikit-Learn.