Machine Learning Refined

Machine Learning Refined
Author :
Publisher : Cambridge University Press
Total Pages : 597
Release :
ISBN-10 : 9781108480727
ISBN-13 : 1108480721
Rating : 4/5 (721 Downloads)

Book Synopsis Machine Learning Refined by : Jeremy Watt

Download or read book Machine Learning Refined written by Jeremy Watt and published by Cambridge University Press. This book was released on 2020-01-09 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: An intuitive approach to machine learning covering key concepts, real-world applications, and practical Python coding exercises.


Machine Learning Refined Related Books

Machine Learning Refined
Language: en
Pages: 597
Authors: Jeremy Watt
Categories: Computers
Type: BOOK - Published: 2020-01-09 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

An intuitive approach to machine learning covering key concepts, real-world applications, and practical Python coding exercises.
Machine Learning Refined
Language: en
Pages: 598
Authors: Jeremy Watt
Categories: Computers
Type: BOOK - Published: 2020-01-29 - Publisher:

DOWNLOAD EBOOK

An intuitive approach to machine learning covering key concepts, real-world applications, and practical Python coding exercises.
Understanding Machine Learning
Language: en
Pages: 415
Authors: Shai Shalev-Shwartz
Categories: Computers
Type: BOOK - Published: 2014-05-19 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei
Introduction to Machine Learning
Language: en
Pages: 639
Authors: Ethem Alpaydin
Categories: Computers
Type: BOOK - Published: 2014-08-22 - Publisher: MIT Press

DOWNLOAD EBOOK

Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonpa
Deep Learning Interviews
Language: en
Pages:
Authors: Shlomo Kashani
Categories:
Type: BOOK - Published: 2020-12-09 - Publisher:

DOWNLOAD EBOOK

The book's contents is a large inventory of numerous topics relevant to DL job interviews and graduate level exams. That places this work at the forefront of th