Machine Learning Foundations: Calculus

Focused View

Terezija Semenski

1:29:54

208 View

01 - Introduction

01 - Learn calculus foundation for machine learning.mp4

00:36

02 - What you should know.mp4

01:00

02 - 1. Introduction to Calculus

01 - Defining calculus.mp4

02:40

02 - Applications of calculus in ML.mp4

01:59

03 - Functions.mp4

04:11

04 - Limits.mp4

05:18

03 - 2. Derivatives and Differentiation

01 - Introduction to derivatives.mp4

04:29

02 - The derivative of a constant and the power rule.mp4

02:43

03 - The constant multiple rule.mp4

02:02

04 - The sum rule.mp4

04:25

05 - The product rule.mp4

02:43

06 - The quotient rule.mp4

03:17

07 - The chain rule.mp4

05:02

08 - The power rule on a function chain.mp4

01:45

04 - 3. Multivariate Calculus

01 - Partial derivatives.mp4

03:08

02 - Calculating partial derivatives.mp4

04:28

03 - Higher-order partial derivatives.mp4

04:41

04 - The chain rule for partial derivatives.mp4

04:15

05 - 4. Machine Learning Gradients

01 - Single-point regression gradient.mp4

03:59

02 - The partial derivatives of quadratic cost.mp4

02:56

03 - Connecting partial derivatives with backpropagation.mp4

03:13

04 - Finding minima and maxima.mp4

04:50

06 - 5. Introduction to Integral Calculus

01 - Defining integral calculus.mp4

03:10

02 - Integration rules.mp4

04:39

03 - Indefinite integrals.mp4

03:50

04 - Definite integrals.mp4

03:47

07 - Conclusion

01 - Next steps.mp4

00:48

Description

Studying artificial intelligence and machine learning can be difficult enough, but what if you threw some calculus into the mix? It may sound daunting, but understanding the foundations of calculus can help you design and implement machine learning algorithms, and without a solid foundation in calculus your work in machine learning can quickly become overwhelming. In this course, Terezija Semenski teaches you functions, derivatives, integrals, and the foundations of multivariate calculus. If you struggle with calculus concepts and techniques used to design and implement ML algorithms, check out this course with Terezija for the knowledge to overcome those challenges.

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Machine Learning

Artificial Intelligence

Statistics

Math

Terezija Semenski

Instructor's Courses

I help busy people learn to code without spending hours on searching Google and Stackoverflow. Mathematician and Software Developer with a business mind, a learning mindset, and a passion for people. Currently working as a freelance Educator and Software Developer. I’m also preparing my 8th online course. My previous experience includes working as Software Developer and QA in startup on educational, financial and banking app development projects and in the education sector as IT and Mathematics Teacher.

Linkedin Learning

View courses Linkedin Learning

LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.