Google is giving a one-time opportunity to everyone. Learn to apply Machine Learning concept with the crash course to get real-world experience by working on different problem-solving problems. The course is provided by Google Developers for the students who have urged to make a career in the field of Machine learning.
A self-guide for Machine Learning practitioners, The Machine Learning crash course includes a series of lessons with video lectures, real-world case studies, and hands-on practice exercises. The course has:-
- 25 Lessons
- 30+ Exercises
- Total hours
- Lectures from Google Researchers
- Real-world Case Studies
- Interactive Visualization of Algorithm in Action
Prerequisites and Prework
1- If you’re new to machine learning, take Introduction to Machine Learning Problem Framing. This one-hour self-study course teaches you how to identify appropriate problems for machine learning.
Machine Learning Crash Course does not presume or require any prior knowledge in machine learning. However, to understand the concepts presented and complete the exercises, we recommend that students meet the following prerequisites:
1 – You must be comfortable with variables, linear equations, graphs of functions, histograms, and statistical means.
2 – You should be a good programmer. Ideally, you should have some experience programming in Python because the programming exercises are in Python. However, experienced programmers without Python experience can usually complete the programming exercises anyway.
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