Machine Learning with Python : A Step-By-Step Guide to Learn and Master Python Machine Learning (Record no. 51094)

MARC details
000 -LEADER
fixed length control field 02100 a2200169 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250821182334.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781729833087
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133(PYT) SMI
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Smith, Hein
245 ## - TITLE STATEMENT
Title Machine Learning with Python : A Step-By-Step Guide to Learn and Master Python Machine Learning
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Creatspace
Date of publication, distribution, etc 2018
Place of publication, distribution, etc USA
300 ## - PHYSICAL DESCRIPTION
Extent 73
520 ## - SUMMARY, ETC.
Summary, etc Are you stuck in getting started with machine learning with python? A Step-By-Step Guide to Learn and Master Python Machine Learning walks you through steps for getting started with Machine Learning with Python. Python is a popular and open-source programming language. In addition, it is one of the most applied languages in artificial intelligence and other scientific fields. On the other hand, machine learning is a branch of AI that applied algorithms to learn from data and create predictions. Machine learning is important in predicting the world around us.All the way from self-driving cars to predictions in the stock market, there is no place where machine learning cannot be utilized. Today, it is a top skill in high demand in the job market. For that reason, why not grab a Step-By-Step Guide to Learn and Master Python Machine Learning?You’ll discover the steps required to develop a successful machine-learning application using Python and Scikit-learn library. As a discipline, ML tries to design and understand computer programs for purpose of prediction. With a Step-By-Step Guide to Learn and Master Python Machine Learning, you’ll learn: The important concepts and real-world application of machine learning. Pros and cons of most popular machine learning algorithms The basics of Python Learn about data preprocessing, analysis, and visualization Preprocessing techniques to use in data Regression methods Clustering Recommendation engines And many moreIf you are serious about machine learning with Python and don’t know how to get started, A Step-By-Step Guide to Learn and Master Python Machine Learning is your best tool to use.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine Learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

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