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Princeton Satellite Systems

MATLAB Machine Learning Book is Now Available

—

by

Michael Paluszek
in ,

Apress just published our new book, “MATLAB Machine Learning”

9781484222492

written by Michael Paluszek and Stephanie Thomas. The book covers a wide variety of topics related to machine learning including neural nets and decision trees. It also includes topics from automatic control including Kalman Filters and adaptive control. The book has many examples including autonomous driving, number identification and adaptive control of aircraft.

Full source code is available. For more information go to MATLAB Machine Learning.

Comments

8 responses to “MATLAB Machine Learning Book is Now Available”

  1. mahmoud d Avatar
    mahmoud d

    Hi, please i want to complete this code of chapter 7 in urgent. thanks

    Reply
    1. Michael Paluszek Avatar
      Michael Paluszek

      Dear Mahmoud:

      I sent you an email with updated code. I didn’t change anything (except a path to cats1024) and it works fine.

      Mike

      Reply
  2. Razvan Craciunescu Avatar
    Razvan Craciunescu

    Hi,
    I am reading the book and going through the source code.
    For chapter 7 I can see that at the end of the chapter there are listed a number of source code files that I cannot find on the project github.
    Should I download them from another source?

    Best,
    Razvan

    Reply
    1. Michael Paluszek Avatar
      Michael Paluszek

      Dear Razvan:

      Thanks for reading our book. This is the link to the repository

      https://github.com/Apress/matlab-machine-learning

      Sincerely,

      Mike

      Reply
      1. mahmoud d Avatar
        mahmoud d

        Also this code is not correct. especially file convolutionalNN don’t get r=softmax

        Reply
        1. Michael Paluszek Avatar
          Michael Paluszek

          Thanks for the feedback! What result did you get?

          Reply
          1. mahmoud d Avatar
            mahmoud d

            the m-file convolutionalNN has an order r=softmax(q) , to get the value of r.
            But when run the m-file TestNN , get this error

            Undefined function ‘exp’ for input arguments of type ‘uint8’.

            Error in Softmax (line 35)
            den = sum(exp(q));

            Error in ConvolutionalNN>NeuralNet (line 64)
            r = Softmax( q );

            Error in ConvolutionalNN>Testing (line 45)
            [d, r] = NeuralNet( d, t );

            Error in ConvolutionalNN (line 34)
            r = Testing( d, t );

            Error in TestNN (line 19)
            [d, r] = ConvolutionalNN( ‘test’, d, t );

          2. Michael Paluszek Avatar
            Michael Paluszek

            Thanks! I’ll look into you and update the code. What version of MATLAB are you using?

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