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machine learning ml

Stanford University

Here are the best resources to pass machine learning ml. Find machine learning ml study guides, notes, assignments, and much more.

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machine learning course

  • Package deal

    machine learning course

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    16
    February 2022
  • stanford machine learning course (half course + summary)
  • faisalsardar1
    $25.99 More Info
Python/Numpy Tutorial.

  • Presentation

    Python/Numpy Tutorial.

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    39
    February 2022
    2020/2021
  • Text editor/IDE options.. (don’t settle with notepad) • PyCharm (IDE) • Visual Studio Code (IDE) • Sublime Text (IDE) • Atom • Notepad ++/gedit • Vim (for Linux)
  • faisalsardar1
    $5.99 More Info
Neural Networks

  • Summary

    Neural Networks

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    6
    February 2022
    2020/2021
  • Deep Learning Supervised learning with non linear models Logistic Regression Neural Networks computational power data available algorithms Propagation equation
  • faisalsardar1
    $6.49 More Info
Neural Networks

  • Class notes

    Neural Networks

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    21
    February 2022
    2020/2021
  • Deep Learning Supervised Learning with Non-linear Models Neural Networks Backpropagation Vectorization Over Training Examples
  • faisalsardar1
    Free More Info
Kernels, SVM.

  • Summary

    Kernels, SVM.

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    8
    February 2022
    2020/2021
  • summary of Kernel Methods SVMs
  • faisalsardar1
    $6.99 More Info
Kernel Methods

  • Class notes

    Kernel Methods

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    30
    February 2022
    2020/2021
  • Kernels. SVM.
  • faisalsardar1
    Free More Info
Probability Theory

  • Presentation

    Probability Theory

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    100
    February 2022
    2020/2021
  • Outline 1 Basics 2 Random Variables 3 Expectation-Variance 4 Joint Distributions 5 Covariance 6 RV Conditionals 7 Random Vectors 8 Multivariate Gaussian
  • faisalsardar1
    $11.99 More Info
More on Multivariate Gaussians

  • Class notes

    More on Multivariate Gaussians

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    11
    February 2022
    2020/2021
  • 1 Definition 2 Gaussian facts 3 Closure properties 4 Summary 5 Exercise
  • faisalsardar1
    $5.89 More Info
The Multivariate Gaussian Distribution

  • Class notes

    The Multivariate Gaussian Distribution

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    10
    February 2022
    2020/2021
  • a multivariate normal (or Gaussian) distribution 1 Relationship to univariate Gaussians 2 The covariance matrix 3 The diagonal covariance matrix case 4 Isocontours 5 Linear transformation interpretation
  • faisalsardar1
    $4.99 More Info
Probability Theory Review

  • Class notes

    Probability Theory Review

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    12
    February 2022
    2020/2021
  • Probability theory is the study of uncertainty. Through this class, we will be relying on concepts from probability theory for deriving machine learning algorithms. These notes attempt to cover the basics of probability theory at a level appropriate for CS 229. The mathematical theory of probability is very sophisticated, and delves into a branch of analysis known as measure theory. In these notes, we provide a basic treatment of probability that does not address these finer details. 1 Elem...
  • faisalsardar1
    Free More Info
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