What Is Machine Learning
Introduction
An overview of Supervised, Unsupervised, and Reinforcement Learning with Python Demos.
What You Will Learn
You will understand the overview of Supervised, Unsupervised, and Reinforcement Learning.
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Description
1. This course gives a big picture, non-technical overview of Supervised, Unsupervised, and Reinforcement Learning.
Machine Learning |
2. Many ideas are presented with using lots of examples with animations and plots.
3. An overview of Python codes is presented.
4. A list of resources for next level of machine learning is provided.
5. Students who would like to run and experiment with the demo codes will need to have a Google (or gmail) account or have Python on their Laptop or Desktop (have to install the Anaconda platform). No need of having Knowledge of Python required to experiment with codes.
Who this course is for:
People who are curious about machine learning and data science.
Course content
7 sections
16 lectures are recorded
1h 56m total length of video content.
Review
4.7 out of 5.
1,875 students have enrolled.
1hr 57min of on-demand video content.
About The Instructor
Satish Reddy who is Machine Learning Consultant having PhD in Applied Math from Massachusetts Institute of Technology. Having 10 years of experience doing research in applied math and teaching undergraduate and graduate courses at New York University, Oregon State University, and the University of British Columbia.
Having 17 years experience in financial risk management space working at a software start-up..
He is currently, consulting on machine learning projects.
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