Machine Learning with Pytorch and Scikit-Learn : Develop Machine Learning USPS

“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.

PYTHON MACHINE LEARNING Second Edition Raschka & Mirjalili 2017 Revised LikeNew

The textbook includes 622 pages and is geared towards adult learners and those in further education, focusing on proficiency and advanced levels of understanding. It is a valuable resource for those looking to deepen their knowledge and skills in machine learning and deep learning with Python, Scikit-Learn, and TensorFlow.

Machine Learning with Pytorch and Scikit-Learn : Develop Machine Learning and…

“Machine Learning with Pytorch and Scikit-Learn: Develop Machine Learning and Deep Learning Models with Python” is a textbook authored by Yuxi (Hayden) Liu, Vahid Mirjalili, Dmytro Dzhulgakov, and Sebastian Raschka. Published by Packt Publishing, The Limited in 2022, this trade paperback book covers topics in Expert Systems, Neural Networks, and Speech & Audio Processing. It is written in English and aims to teach readers how to develop machine learning and deep learning models using PyTorch and Scikit-Learn. The book is a valuable resource for those interested in learning about machine learning and deep learning with Python.