Supervised and Unsupervised Learning | Machine Learning for Beginners

There are many different approaches or models in machine learning, but generally, they can be broken down into two major categories called supervised learning and unsupervised learning.

Machine learning encompasses many different ideas, programming languages, frameworks, and approaches to the subject, so the term "machine learning" is difficult to define in just a sentence or two. But essentially, machine learning is giving a computer the ability to write its own rules and learn about new things, on its own. In this course, we'll explore some of the big ideas, and toward the end, we'll even write a little bit of code in Python that can make some intelligent predictions.

What you'll learn:
Fundamental concepts in machine learning
Supervised versus Unsupervised learning
Machine learning frameworks
Machine learning using Python and scikit-learn

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