Rephonic
Artwork for Machine Learning

Machine Learning

Andrew Ng

This course provides a broad introduction to machine learning and statistical pattern recognition. The course also discusses recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing. more

PublishesDailyEpisodes20Founded14 years ago
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Technology

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Artwork for Machine Learning

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Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng provides an overview of the course in this introductory meeting.

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16 years ago

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department.

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16 years ago

science, math, engineering, computer, technology, robotics, algebra, locally, weighted, logistic, regression, linear, probabilistic, interpretation, Gaussian, distribution, digression, perceptron

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16 years ago

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on Newton's method, exponential families, and generalized linear models and how they relate to machine learning.

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16 years ago

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Reviews

4.0 out of 5 stars from 363 ratings
  • S

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    Apple Podcasts
    5
    ania102
    Poland6 years ago
  • awesome course

    I took this course and it is the way to get started with fundementals of ML.

    Apple Podcasts
    5
    MarryC1
    United States7 years ago
  • My iPhone is not playing the video....

    Not playing......

    Apple Podcasts
    1
    Hqqqqqq
    Singapore7 years ago
  • Rubbish

    No structure, no plan, nothing.

    Apple Podcasts
    1
    henuaenata
    United Kingdom9 years ago
  • Thank you so much

    Really super course. Thank you prof. Ng and Stanfor U.

    Apple Podcasts
    5
    Π£Π»ΡƒΠ³Π±Π΅ΠΊ
    United States11 years ago

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Machine Learning launched 14 years ago and published 20 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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