Play by Play: Machine Learning Exposed
In this course, you'll explore machine learning topics, such as supervised learning, unsupervised learning, reinforcement learning, and deep learning.
Learning Journey Context
This course serves as an entry point into Data Science, building foundational knowledge before moving on to advanced frameworks or specialized paths.
Relevant for professionals pursuing roles within Data Science.
💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.
Quick Facts
What You’ll Learn
Play by Play is a series in which top technologists work through a problem in real time, unrehearsed, and unscripted. In this course, Play by Play: Machine Learning Exposed, James Weaver and Katharine Beaumont will start with the basics, and build up in an approachable way to some of the most interesting techniques machine learning has to offer. Explore Linear Regression, Neural Networks, clustering, and survey various machine learning APIs and platforms. By the end of this course, you'll get an overview of what you can achieve, as well as an intuition on the maths behind machine learning.
Outcomes
- Course Overview : 1min.
- Machine Learning Introduction : 34mins.
- Supervised Learning : 88mins.
- Reinforcement Learning : 35mins.
- Course Conclusion : 12mins.
FAQs
Top Alternatives
Highly-rated courses worth your attention
