Podcast Episode Details
Back to Podcast Episodes
Machine Learning Automation with TPOT - Build, validate, and deploy
This summary is talking about the Book "Machine Learning Automation with TPOT - Build, validate, and deploy".
This book is a guide to automated machine learning using the TPOT library in Python. It covers a broad range of topics, including an introduction to machine learning concepts like supervised learning, regression, and classification, as well as a deep dive into the TPOT library itself, explaining its architecture and capabilities. The book provides numerous hands-on examples, demonstrating how to build automated models for regression and classification tasks using TPOT. The final chapters discuss parallel training with Dask, a foundational overview of deep learning and neural networks, and practical guidance on deploying your TPOT models to both localhost and the cloud.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Machine-Learning-Automation-TPOT-automated/dp/180056788X?&linkCode=ll1&tag=cvthunderx-20&linkId=56f3584136c6b9365db2b776f1ef56d3&language=en_US&ref_=as_li_ss_tl
Published on 7 months, 2 weeks ago