Machine Learning Algorithms Popular Algorithms for Data Science and Machine Learning, 2nd Edition.

Machine Learning Algorithms Popular Algorithms for Data Science and Machine Learning, 2nd Edition.

Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. This book will act as an entry point for anyone who wants to make a career in Machine Learning. It covers algorithms like Linear regression, Logistic Regression, SVM, Naïve Bayes, K-...

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Bibliographic Details
Main Author: Bonaccorso, Giuseppe
Format: eBook
Language:English
Published: Birmingham Packt Publishing Ltd, 2018.
Edition:2nd ed.
Subjects:
Computers > Intelligence (AI) & Semantics.
Computers > Data Modeling & Design.
Database design & theory.
Artificial intelligence.
Machine learning.
Information architecture.
Computers > Machine Theory.
Mathematical theory of computation.
Computer algorithms.
EBSCO eBooks
Electronic books.
Online Access:EBSCOhost
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Description
Summary:Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. This book will act as an entry point for anyone who wants to make a career in Machine Learning. It covers algorithms like Linear regression, Logistic Regression, SVM, Naïve Bayes, K-Means, Random Forest, and Feature engineering.
Item Description:Introducing semi-supervised Support Vector Machines (S3VM).
Physical Description:1 online resource (514 pages)
ISBN:9781789345483
1789345480

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