عنوان

Python machine learning /

(Number (ISBN

1119545633

(Number (ISBN

1119545676

(Number (ISBN

1119545692

(Number (ISBN

111955750X

(Number (ISBN

9781119545637

(Number (ISBN

9781119545675

(Number (ISBN

9781119545699

(Number (ISBN

9781119557500

Erroneous ISBN

1119545633

Erroneous ISBN

9781119545637

Title Proper

Python machine learning /

General Material Designation

[Book]

First Statement of Responsibility

Wei-Meng Lee.

Place of Publication, Distribution, etc.

Indianapolis, IN :

Name of Publisher, Distributor, etc.

Wiley,

Date of Publication, Distribution, etc.

[2019]

Specific Material Designation and Extent of Item

1 online resource (xxiv, 296 pages)

Text of Note

Includes index.

Text of Note

Introduction to machine learning -- Extending Python using NumPy -- Manipulating tabular data using Pandas -- Data visualization using matplotlib -- Getting started with Scikit-learn for Machine Learning -- Supervised learning : linear regression -- Supervised learning : classification using logistic regression -- Supervised learning : classification using support vector machines -- Supervised learning : classification using K-Nearest Neighbors (KNN) -- Unsupervised learning : clustering using K-Means -- Using Azure Machine Learning Studio -- Deploying machine learning models.

0

Text of Note

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.

Source for Acquisition/Subscription Address

Wiley

Stock Number

9781119545675

Title

Python machine learning.

International Standard Book Number

9781119545637

Machine learning.

Python (Computer program language)

COMPUTERS-- Programming Languages-- Python.

Machine learning.

Python (Computer program language)

COM-- 051360

Number

Edition

Class number

Book number

Lee, Wei-Meng

Date of Transaction

20200822154704.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y