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Machine Learning Foundations: Calculus Preview

Machine Learning Foundations: Calculus

With Terezija Semenski Liked by 986 users
Duration: 1h 31m Skill level: Beginner Released: 3/7/2023

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Course details

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, this course with Terezija can give you the knowledge to overcome those challenges.

Skills you’ll gain

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Meet the instructor

Learner reviews

4.5 out of 5

511 ratings
  • 5 star
    Current value: 353 69%
  • 4 star
    Current value: 106 21%
  • 3 star
    Current value: 35 7%
  • 2 star
    Current value: 6 1%
  • 1 star
    Current value: 11 2%
  • Joshua Jones Joshua Jones

    Joshua Jones

    1/5 February 9, 2026
    This class has given me a definition of each of these calculus formulas without any applicative knowledge. I could derive the same value from taking the subject headers in this course and looking up the definitions online. Or to put it another way, this course answered the What, as in what are these formulas. It did not answer the When and Where; as in when I should use this and where should it be applied. And it especially did not answer Why; why is this useful? I asked Copilot for a real-world example of When and How to use partial derivatives with chaining, and the response was worth more of my time than this course.
    Helpful · Report
  • Ulisse Rubizzo Ulisse Rubizzo

    Ulisse Rubizzo

    Linux Software Engineer | Embedded Systems | ARM | C++ | Qt | Yocto | Python

    1/5 February 4, 2026
    I'm going to give same feedback as in another course held by the same instructor I think the teacher is knowledgeable in the area, nonetheless the course cannot be considered suitable for a beginner or intermediate audience being at its best a refresher for who has taken math courses at the university a bit of years in the past. Over all it lacks of valuables examples, and exercises (along with solutions). In my opinion it should be rethought from scratch.
    Helpful · Report
  • PRINCY SELVARANI A PRINCY SELVARANI A

    PRINCY SELVARANI A

    Student at National Engineering College

    5/5 January 2, 2026
    good
    Helpful · Report

Contents

What’s included

  • Practice while you learn 1 exercise file
  • Test your knowledge 5 quizzes
  • Learn on the go Access on tablet and phone

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