March 18, 2022, 1 p.m. | Daniel Gutierrez

insideBIGDATA insidebigdata.com

The enticing new title courtesy of Packt Publishing, "Machine Learning with PyTorch and Scikit-Learn," by Sebastian Raschka, Yuxi (Hayden) Liu, and Vahid Mirjalili is a welcome addition to any data scientist's list of learning resources. This 2022 tome consists of 741 well-crafted pages designed to provide a comprehensive framework for working in the realm of machine learning and deep learning. The book is brimming with topics that will propel you to a leading-edge understanding of the field.

ai ai deep learning analysis book book review data science deep learning google news feed learning machine machine learning main feature news packt pytorch review scikit-learn weekly featured newsletter post

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Strategy & Management - Private Equity Sector - Manager - Consulting - Location OPEN

@ EY | New York City, US, 10001-8604

Data Engineer- People Analytics

@ Volvo Group | Gothenburg, SE, 40531