Supervised and Unsupervised Learning Machine Learning for Beginners

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=tzg8Yzmw5_4

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 • 🕸 Take Machine Learning Basics – https://trhou.se/MachineLearning • 🚀 Join 100 Days Of Code for FREE and then get 25% off – https://trhou.se/Learn-to-Code • 🛠 Sign up to receive the Treehouse Tech Explorer Toolkit – https://trhou.se/tech-explorer-toolkit • • Join Treehouse today and start your free trial! http://trhou.se/148kMOY • • Learn how to build websites and apps, write code, or start a business at Treehouse. Learn from over 1,000 videos created by our expert teachers on web design, coding, business, and much more. Treehouse teaches the in-demand technology skills you need to land your dream job. • #MachineLearning #TeamTreehouse #ComputerScience

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