July 2018
Intermediate to advanced
4h 15m
English
Closed Captioning available in English
Overview
In this 4-hour course, you'll delve into the mathematical foundations that are essential for AI and Machine Learning, focusing on linear algebra, multivariate calculus, and probability theory. Learn to apply these concepts practically by implementing algorithms in Python and R.
What I will be able to do after this course
- Understand the mathematical principles, including linear algebra, multivariate calculus, and probability theory, crucial for machine learning.
- Learn how to apply these mathematical concepts to develop machine learning models.
- Gain experience in implementing these concepts through coding in Python and R.
- Grasp the relationship between mathematical theory and real-world machine learning applications.
- Build a solid mathematical foundation to advance in AI and machine learning development.
Course Instructor(s)
Eduonix Learning Solutions is a reputed educator in the field of technology and programming, specializing in making complex topics accessible to learners of various levels. With a strong commitment to delivering practical knowledge mixed with theoretical insights, their courses are meticulously designed to provide a comprehensive learning experience.
Who is it for?
This course is ideal for budding data scientists, AI developers, and machine learning enthusiasts who are looking to build their understanding of the mathematical foundations crucial for these fields. No prior experience is mandatory, but familiarity with basic programming concepts is beneficial. If you aim to understand machine learning models starting from the core basics, this course is for you.
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