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” 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 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.
Machine Learning with Pytorch and Scikit-Learn : Develop Machine Learning and…
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.
Building Expert Systems In Prolog Dennis Merritt Hardcover Book Computer Science
Explore the techniques of building sophisticated expert systems with this guide by Dennis Merritt. This book, “Building Expert Systems in Prolog,” is designed for programmers looking to create or experiment with expert systems using the Prolog language. Published by Springer-Verlag, this hardcover edition includes 27 illustrations to support the text and covers advanced concepts in logic programming. This is the edition with ISBN 0-387-97016-9.
Machine Learning with PyTorch – Paperback, by Raschka Sebastian; Liu – Very Good
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python. by Raschka, Sebastian; Liu, Yuxi (Hayden); Mirjalili, Vahid.
Machine Learning with Pytorch and Scikit-Learn : Develop Machine Learning and FS
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
The product is a textbook titled “Machine Learning with PyTorch and Scikit-Learn: Develop Machine Learning and Neural Networks” by authors Yuxi Liu, Vahid Mirjalili, Dmytro Dzhulgakov, and Sebastian Raschka. Published in 2022 by Packt Publishing, this trade paperback guide focuses on the subjects of Expert Systems, Neural Networks, and Speech & Audio Processing. With a publication name of “Guide” and written in English, this textbook is designed for the education and reference of those interested in the fields of Computers and Science.
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and PB
“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.
Decoding the Universe: How the New Science of Information Is Explain – VERY GOOD
Notes: Item in very good condition!
A New Kind Of Science
A nice touch in this textbook is the running glossary in the margins.