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Mathematics for Machine Learning: Multivariate Calculus

by

Coursera

This course on Mathematics for Machine Learning: Multivariate Calculus teaches Mathematics for Machine Learning: Multivariate Calculus fundamentals through 2 interactive modules. If you are , then this course is for you. You can access this course on web and mobile, it’s available in language.

#1

See all ranking

Mathematics for Machine Learning: Multivariate Calculus

by

Coursera

This course on Mathematics for Machine Learning: Multivariate Calculus teaches Mathematics for Machine Learning: Multivariate Calculus fundamentals through 2 interactive modules. If you are , then this course is for you. You can access this course on web and mobile. This complete course is available in language.

#1

See all ranking

2 Modules

with Certifications

17+ Hours

of Recorded Content

4.7 Rated

by 138125 Learners

Language

2 Modules

with Certifications

17 + Hours

of Recorded Content

4.7 Rated

by 138125Learners

Read all Reviews

Language

What's in it for You?

Key Features:

Learn new concepts from professionals in the field.
Acquire a basic understanding of a topic or skill
Gain practical project experience to enhance employability.
Obtain a career certificate that can be shared.

Topics you will learn

  • What is calculus?
    • 10 videos
      1. Welcome to Multivariate Calculus
      2. Welcome to Module 1!
      3. Functions
      4. Rise Over Run
      5. Definition of a derivative
      6. Differentiation examples and special cases
      7. Product rule
      8. Chain rule
      9. Taming a beast
      10. See you next module!
    • 4 readings
      1. About Imperial College and the team
      2. How to be successful in this course
      3. Grading Policy
      4. Additional Readings and Helpful References
    • 6 quizzes
      1. Unleashing the toolbox
      2. Matching functions visually
      3. Matching the graph of a function to the graph of its derivative
      4. Let's differentiate some functions
      5. Practicing the product rule
      6. Practicing the chain rule
    • 1 discussion prompt
      1. Nice to meet you!
    • 1 plugin
      1. Pre-course Survey
  • Multivariate calculus
    • 9 videos
      1. Welcome to Module 2!
      2. Variables, constants and context
      3. Differentiate with respect to anything
      4. The Jacobian
      5. Jacobian applied
      6. The Sandpit
      7. The Hessian
      8. Reality is hard
      9. See you next module!
    • 5 quizzes
      1. Assessment: Jacobians and Hessians
      2. Practicing partial differentiation
      3. Calculating the Jacobian
      4. Bigger Jacobians!
      5. Calculating Hessians
    • 2 ungraded labs
      1. The Sandpit
      2. The Sandpit - Part 2
  • Multivariate chain rule and its applications
    • 6 videos
      1. Welcome to Module 3!
      2. Multivariate chain rule
      3. More multivariate chain rule
      4. Simple neural networks
      5. More simple neural networks
      6. See you next module!
    • 3 quizzes
      1. Multivariate chain rule exercise
      2. Simple Artificial Neural Networks
      3. Training Neural Networks
    • 1 programming assignment
      1. Backpropagation
    • 1 discussion prompt
      1. I ❤️ backpropagation
    • 1 ungraded lab
      1. Backpropagation
  • Taylor series and linearisation
    • 9 videos
      1. Welcome to Module 4!
      2. Building approximate functions
      3. Power series
      4. Power series derivation
      5. Power series details
      6. Examples
      7. Linearisation
      8. Multivariate Taylor
      9. See you next module!
    • 5 quizzes
      1. Taylor Series Assessment
      2. Matching functions and approximations
      3. Applying the Taylor series
      4. Taylor series - Special cases
      5. 2D Taylor series
    • 1 plugin
      1. Visualising Taylor Series
  • Intro to optimisation
    • 4 videos
      1. Welcome to Module 5!
      2. Gradient Descent
      3. Constrained optimisation
      4. See you next module!
    • 4 quizzes
      1. Checking Newton-Raphson
      2. Optimisation scenarios
      3. Newton-Raphson in one dimension
      4. Lagrange multipliers
    • 1 discussion prompt
      1. Steepest strategies
    • 1 ungraded lab
      1. Gradient descent in a sandpit
  • Regression
    • 4 videos
      1. Simple linear regression
      2. General non linear least squares
      3. Doing least squares regression analysis in practice
      4. Wrap up of this course
    • 1 reading
      1. Did you like the course? Let us know!
    • 2 quizzes
      1. Linear regression
      2. Fitting a non-linear function
    • 1 programming assignment
      1. Fitting the distribution of height data
    • 1 ungraded lab
      1. Fitting the distribution of heights data
    • 1 plugin
      1. Post-course Survey

Course Offerings

Certificate you will get

Certificate Features

Your certificate can be embedded on your own website or shared on social networking sites like LinkedIn.
Employers can verify the legitimacy of each certificate using the special verification URL that is included with it.

Pre Requsites

Curious Mind to learn new concepts
Strong internet connection

After this Course

Course is for

No results found.

FAQ's

  • When will I have access to the lectures and assignments?
    Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option: The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • What will I get if I subscribe to this Specialization?
    When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
  • What is the refund policy?
    If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policyOpens in a new tab.
  • Is financial aid available?
    Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
The course focuses on Mathematics for Machine Learning: Multivariate Calculus. It covers fundamentals through 2 interactive modules designed for s.
The course offers over 17 hours of recorded content.

Yes, upon completing the course, you will receive a certification

The course is currently available in .
Curious Mind to learn new concepts & Strong internet connection

The course is accessible on both web and mobile platforms.

The original price of the course is ₹, but it’s currently available at a discounted price of ₹.
To purchase this course you can click on the Enroll Now button it will redirect you to course page, and on that page you can buy Mathematics for Machine Learning: Multivariate Calculus course.

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