Machine learning

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  • Octave Tutorial

    Basic operations

    Machine Learning

  • Octave Tutorial

    Moving data around

    Machine Learning

  • Octave Tutorial

    Computing on data

    Machine Learning

  • Octave Tutorial

    Plotting data

    Machine Learning

  • Octave Tutorial

    Control statements: for,

    while, if statements

    Machine Learning

  • Octave Tutorial

    Vectorial implementation

    Machine Learning

  • Vectorization example.

    Unvectorized implementation

    prediction = 0.0;for j = 1:n+1,prediction = prediction +

    theta(j) * x(y)end;

    Vectorized implementation

    prediction = theta * x;

  • Vectorization example.

    Unvectorized implementation

    double prediction = 0.0;for (int j = 0; j < n; j++)prediction += theta[j] * x[y];

    Vectorized implementation

    double prediction = theta.transpose() * x;

  • Gradient descent

    (for all )

  • (for all )


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Machine Learning and Azure Machine Learning

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Machine Learning for Predictive Modelling...Machine Learning Machine learning uses data and produces a model to perform a task Standard Approach Machine Learning Approach = < 𝒂𝒄

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Methods MACHINE LEARNING FROM MACHINE LEARNING TO …

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11 Machine Learning Important Issues in Machine Learning

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Bayesian Methods for Machine Learning - Machine Learning (Theory)

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Machine Learning: Machine Learning:

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