• Title English : “Machine Learning with Scikit-Learn – Implementation and case studies”
• Author : Aurélien Géron
• Pages : 256 Sheet
• Collection : Hors collection
• Publisher : Dunod (30 August 2017)
• ISBN-10: 210076540X
• ISBN-13: 978-2100765409
• Product Dimensions : 17,5 x 1,5 x 25 cm
• Format Kindle : Ebook, Paperback, PDF and ePub
• Price : €
34,00 FREE !!!
• Rating : ⭐⭐⭐⭐⭐⭐⭐ 7/10
♦ Description : “This book, designed for anyone wishing to learn Machine Learning (machine learning) is the translation of the first part of the best-selling American Hands-On Machine Learning with Scikit-Learn & TensorFlow. It requires little mathematical knowledge and introduces the Fundamentals of Machine Learning in a very practical way using Scikit-Learn which is one of the most used ML frameworks.
Corrected exercises make it possible to ensure that concepts are assimilated and tools are mastered.
Interactive online add-ons in the form of Jupyter notebooks complete the book with executable examples.
This first title is completed by a second book called Deep Learning with TensorFlow.”
“Computer engineer, co-founder and technical director of Wifirst, software engineer at Google France (YouTube). He is co-author of three books published by Dunod on client / server architectures, WiFi and advanced C ++ programming.
Aurelien Geron is a Machine Learning consultant. He worked at Google from 2013 to 2016, where he led the automatic video classification team on YouTube. Previously, he created and developed Wifirst, today one of the leaders of the wireless Internet in France, as well as the consulting company Polyconseil. He has also taught in engineering schools.”