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-...

Полное описание

Библиографическая информация
Главный автор: Bonaccorso, Giuseppe
Формат: Электронная книга
Язык:English
Публикация: Birmingham Packt Publishing Ltd, 2018.
Редактирование:2nd ed.
Предметы:
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-ссылка:EBSCOhost
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Описание
Итог: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.
Примечание:Introducing semi-supervised Support Vector Machines (S3VM).
Объем:1 online resource (514 pages)
ISBN:9781789345483
1789345480

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