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machine learning course

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Documents
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Last updated
24-02-2022

stanford machine learning course (half course + summary)

Documents in this bundle
16
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Lecture notes
Supervised learning setup
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28
Feb 2022
2020/2021
£2.69
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Summary
Summary Dataset split; Exponential family. Generalized Linear Models.
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8
Feb 2022
2020/2021
£5.00
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Lecture notes
Linear Algebra Review
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94
Feb 2022
2020/2021
£6.16
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Presentation
Linear Algebra
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29
Feb 2022
2020/2021
£6.54
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Lecture notes
Gaussian discriminant analysis. Naive Bayes.Laplace Smoothing.
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14
Feb 2022
2020/2021
£2.69
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Summary
Summary Gaussian discriminant analysis. Naive Bayes.
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6
Feb 2022
2020/2021
£6.54
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Summary
Naive Bayes, Laplace Smoothing summary
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7
Feb 2022
2020/2021
£6.16
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Lecture notes
Probability Theory Review
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12
Feb 2022
2020/2021
£0.00
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Lecture notes
The Multivariate Gaussian Distribution
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10
Feb 2022
2020/2021
£3.46
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Lecture notes
More on Multivariate Gaussians
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11
Feb 2022
2020/2021
£4.15
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Presentation
Probability Theory
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100
Feb 2022
2020/2021
£8.85
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Lecture notes
Kernel Methods
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30
Feb 2022
2020/2021
£0.00
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Summary
Summary Kernels, SVM.
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8
Feb 2022
2020/2021
£5.00
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Lecture notes
Neural Networks
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21
Feb 2022
2020/2021
£0.00
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Summary
Summary Neural Networks
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6
Feb 2022
2020/2021
£4.62
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Presentation
Python/Numpy Tutorial.
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39
Feb 2022
2020/2021
£4.23

Subjects

  • Supervised learning
  • Ml
  • Machine learning
  • Dataset split
  • Exponential family
  • Generalized linear models
  • Stanford university
  • Linear algebra review
  • Linear algebra
  • multivariable calculus
  • and modern applications
  • Cs229
  • Ma
  • Gaussian discriminant analysis
  • Naive bayes
  • Laplace smoothing
  • Laplacesmoothing
  • Event models
  • Kernel methods
  • Probability theory review
  • The multivariate gaussian distribution
  • Gaussian distributions
  • Probability theory
  • Kernels
  • Svm
  • Svms
  • Neural networks
  • Python tutorial
  • Numpy tutorial
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