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1
Book
Probabilistic machine learning : an introduction /
Murphy, Kevin P.
2022
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2
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Math for deep learning : what you need to know to understand neural networks /
Kneusel, Ronald T.
2022
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3
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Deep learning : a visual approach /
Glassner, Andrew
2021
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4
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An introduction to statistical learning : with applications in R /
James, Gareth
2021
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5
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Python machine learning : machine learning and deep learning with Python, Scikit-learn, and TensorFlow 2 /
Raschka, Sebastian
2019
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Select result number 6
6
Book
Principles and theory for data mining and machine learning /
Clarke, Bertrand
2009
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Available as
Print Edition
6
Material Type
Book
6
Type of Literature
Handbook, Textbook
2
Year of Publication
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Location
IAS-9
5
ER-C-3
1
INM-1
1
Name
Clarke, Bertrand
1
Fokoué, Ernest
1
Glassner, Andrew
1
Hastie, Trevor
1
James, Gareth
1
Kneusel, Ronald T.
1
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Mirjalili, Vahid
1
Murphy, Kevin P.
1
Raschka, Sebastian
1
Tibshirani, Robert
1
Witten, Daniela
1
Zhang, Hao Helen
1
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Subject
mathematical statistics
machine learning
4
neural network (computing)
4
artificial intelligence
3
classification
2
probability
2
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regression analysis
2
Bayes theorem
1
Python (programming language)
1
R (programming language)
1
algorithm theory
1
clustering algorithm
1
computer algorithm
1
data mining
1
data processing
1
decision theory
1
infinitesimal calculus
1
information theory
1
linear algebra
1
optimization
1
prediction analysis
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Classification
DYA - Artificial intelligence
6
DPAD - Data mining, text mining, big data
1
Language
English
6
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