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Statistics for machine learning :tec...
~
Dangeti, Pratap,
Statistics for machine learning :techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Statistics for machine learning :Pratap Dangeti.
其他題名:
techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R /
作者:
Dangeti, Pratap,
出版者:
Birmingham, UK :Packt Publishing ,2017.
面頁冊數:
v, 426 p. :ill., charts ;24 cm.
附註:
Includes index.
標題:
Big dataStatistical methods.
ISBN:
9781788295758 (pbk.) :
Statistics for machine learning :techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R /
Dangeti, Pratap,
Statistics for machine learning :
techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R /Pratap Dangeti. - Birmingham, UK :Packt Publishing ,2017. - v, 426 p. :ill., charts ;24 cm.
Includes index.
Chapter 1: Journey from Statistics to Machine Learning -- Chapter 2: Parallelism of Statistics and Machine Learning -- Chapter 3: Logistic Regression Versus Random Forest -- Chapter 4:Tree-Based Machine Learning Models -- Chapter 5: K-Nearest Neighbors and Naive Bayes -- Chapter 6: Support Vector Machines and Neural Networks -- Chapter 7: Recommendation Engines -- Chapter 8: Unsupervised Learning -- Chapter 9: Reinforcement Learning.
ISBN: 9781788295758 (pbk.) :$49.99
LCCN: cam a2200193 a 450 Subjects--Topical Terms:
716966
Big data
--Statistical methods.
LC Class. No.: QA76.73.P98
Statistics for machine learning :techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R /
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Chapter 1: Journey from Statistics to Machine Learning -- Chapter 2: Parallelism of Statistics and Machine Learning -- Chapter 3: Logistic Regression Versus Random Forest -- Chapter 4:Tree-Based Machine Learning Models -- Chapter 5: K-Nearest Neighbors and Naive Bayes -- Chapter 6: Support Vector Machines and Neural Networks -- Chapter 7: Recommendation Engines -- Chapter 8: Unsupervised Learning -- Chapter 9: Reinforcement Learning.
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210846
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