Python Machine Learning

Python Machine Learning

EnglishPaperback / softback
Lee Wei-Meng
John Wiley & Sons Inc
EAN: 9781119545637
On order
Delivery on Friday, 24. of May 2024
CZK 964
Common price CZK 1,071
Discount 10%
pc
Do you want this product today?
Oxford Bookshop Praha Korunní
not available
Librairie Francophone Praha Štěpánská
not available
Oxford Bookshop Ostrava
not available
Oxford Bookshop Olomouc
not available
Oxford Bookshop Plzeň
not available
Oxford Bookshop Brno
not available
Oxford Bookshop Hradec Králové
not available
Oxford Bookshop České Budějovice
not available

Detailed information

Python makes machine learning easy for beginners and experienced developers

With computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn machine learning using Python. Machine learning tasks that once required enormous processing power are now possible on desktop machines. However, machine learning is not for the faint of heart—it requires a good foundation in statistics, as well as programming knowledge. Python Machine Learning will help coders of all levels master one of the most in-demand programming skillsets in use today. 

Readers will get started by following fundamental topics such as an introduction to Machine Learning and Data Science. For each learning algorithm, readers will use a real-life scenario to show how Python is used to solve the problem at hand.

•          Python data science—manipulating data and data visualization

•          Data cleansing

•          Understanding Machine learning algorithms
•          Supervised learning algorithms

•          Unsupervised learning algorithms

•          Deploying machine learning models 

Python Machine Learning is essential reading for students, developers, or anyone with a keen interest in taking their coding skills to the next level. 

EAN 9781119545637
ISBN 1119545633
Binding Paperback / softback
Publisher John Wiley & Sons Inc
Publication date May 31, 2019
Pages 320
Language English
Dimensions 231 x 188 x 25
Country United States
Readership Professional & Scholarly
Authors Lee Wei-Meng
Edition 1. Auflage