This is the code repository for Mathematical Foundation for AI and Machine Learning [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
Artificial Intelligence has gained importance in the last decade with a lot depending on the development and integration of AI in our daily lives. The progress that AI has already made is astounding with innovations like self-driving cars, medical diagnosis and even beating humans at strategy games like Go and Chess. The future for AI is extremely promising and it isn’t far from when we have our own robotic companions. This has pushed a lot of developers to start writing codes and start developing for AI and ML programs. However, learning to write algorithms for AI and ML isn’t easy and requires extensive programming and mathematical knowledge. Mathematics plays an important role as it builds the foundation for programming for these two streams. And in this course, we’ve covered exactly that. We designed a complete course to help you master the mathematical foundation required for writing programs and algorithms for AI and ML.
- Refresh the mathematical concepts for AI and Machine Learning
- Learn to implement algorithms in Python
- Understand the how the concepts extend for real-world ML problems
To fully benefit from the coverage included in this course, you will need:
This course has the following software requirements:
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