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Machine Learning Basics

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Machine Learning Review

2:01 with Nick Pettit

This course has been a broad overview of machine learning. We looked at a lot of big ideas and we even explored some code. Let's do a quick review.

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    This course has been a broad overview of machine learning. 0:00
    We looked at a lot of big ideas and we even exported some code. 0:04
    Let's do a quick review. 0:09
    Machine Learning is a new approach to artificial intelligence. 0:11
    With an emphasis on statistical analysis, and the ability for the computer to write 0:16
    its own set of rules, rather than humans writing all of the conditional logic. 0:21
    There are two major categories of Machine Learning, Supervised Learning and 0:27
    Unsupervised Learning. 0:32
    Supervised learning is when a machine intelligence predicts a category or 0:33
    a quantity using models of classification and regression respectively. 0:38
    Unsupervised learning is when a computer analyzes unlabeled data and 0:44
    attempts to recognize patterns. 0:48
    The most common unsupervised models use 0:51
    clustering to group similar things together. 0:53
    When handling data, remember that an example is a single element in a dataset. 0:57
    And a feature is one characteristic of an example. 1:03
    These basic models can lead to more complex and emerging behaviors in specific 1:07
    domains like chatbots, image recognition, speech recognition and more. 1:12
    More specialized applications like this can be served by higher level machine 1:19
    learning platforms including AWS and IBM Watson. 1:23
    If you didn't understand everything, don't worry. 1:29
    That's normal. 1:32
    I encourage you to watch this course again, explore the teacher notes, 1:33
    and look at the documentation for scikit-learn. 1:37
    You may also want to try exploring more problems using scikit-learn. 1:41
    See if you can apply classification to another data set. 1:46
    Or try something more advanced like regression or clustering. 1:50
    With more practice and 1:55
    repetition, your understanding will grow and you'll be ready for more. 1:56

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