Math Foundations for ML & AI (with algorithmic implementation)

MATHS Ayega to ML main Maza Ayega!

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Language: English

Instructors: Tirth Shah

₹1799 72.26% OFF


50% Cashback as Programmr Coins


Why this course?


Learn Math behind ML (Not just Math but also learn how to use that math in Machine learning Algorithms)

Through the upcoming 6 days of the Live workshop, we intend to help all ML Enthusiasts to understand the Math behind ML algorithms, so ML is no more a black box for them.

You will learn & implement:

  • Intricacies of Graphs & equations to make ML Algorithm better.
  • Linear Algebraic methods, operations, structures & functions 
  • Matrix Norms, Tensors & Vectors
  • Eigen Vectors & Eighen values and its Implementation in ML.
  • Application of Linear Algebra in ML & DL.
  • Python Implementation A-Z
  • Multivariate Calculus
  • Gradient Visualization, Convex Optimization, etc. with the implementation of it in Machine Learning & Deep Learning.
  • Application of Multivariate Calculus in ML & DL.
  • Python Implementation A-Z
  • Probability & its applications in ML Algorithms.
  • Understand how the Math concepts extend for real-world ML Problems & algorithms.
  • Highly complex PCA Math Intuition.
  • Complete Math for ML & AI. You don't need any other Math Class for ML after this.


Why does this workshop matter?

The future for AI is extremely promising and Math plays an important role as it builds the foundation for programming for these two streams.

Mathematics really helps you understand what's happening and if you want to improve your model further you need to know what's happening. Simply you can't be the Master by just writing code & running it. It's more of Math in it. And so we designed this workshop for you to Master the Math required to understand the mechanics of ML Algorithms.

Secondly, it's not only a Math for ML workshop but simultaneously it covers various Algorithms of ML that use Math covered in the workshop.

So it's completely practical based learning.


Prerequisites: No Prerequisite!


Workshop Details:

  • Certification included
  • Live workshop
  • Access to the Recorded Videos for 1 year
  • 1-1 Mentorship
  • Assignment & Practical based
  • Dates: 7th - 12th FEB
  • Duration:  Approx 10 hours
  • Timings: 6:00 pm IST onwards (It can be changed according to the student's preference on DAY 1)
  • Discord community, support & Material access

Important : Get 50% CASHBACK on completion of this workshop in the form of coins! 

(that you can redeem on any other upcoming workshop)



1. How long the access to the event is available?

✅ The recorded sessions will be available forever!

2. What if I miss a live session?

✅ Don't worry! Your Dashboard has got you covered, it contains recorded sessions of each session.

3. Will I get a Certificate of Completion?

✅ Yes Ofcourse!

4. What is the duration of the course and how much time should I allot?

✅ The total duration of the workshop is 1 week. The course content is designed in such a way that it requires 1.5-2 hours/day for you to do your day to day activities and also have enough time to work on the assignments.


A note from the Instructor: After taking this live workshop, you will see what's happening behind the bars of Machine Learning & Deep Learning. This is the workshop you must enroll in if you really want to be a superstar in ML & AI.

And for innovation to happen, you need those eyes!

This workshop not only takes you on only Math part but also implementation in ML & DL Algorithms.


Live Workshop Curriculum

Day 0 - Madness for Getting Started
Day 0 - MATH FOUNDATIONS FOR ML & AI (2021-02-07 at 04_57 GMT-8) (26:00)
Day 1 - 8/2/21
Day1 - Math for AI & ML Workshop (2021-02-09 at 07_24 GMT-8) (98:00)
Day 2 - 9/2/21
Day 2 - Math for AI & ML (2021-02-10 at 07_30 GMT-8)
Day 3 - 10/2/21
Day 3 - Math for AI & ML (2021-02-11 at 07_28 GMT-8)
Day 4 - 11/2/21
gwk-tghu-ybk (2021-02-12 at 07_42 GMT-8)
Day 5 - 15/2/21 : 8:30pm IST

How to Use

After successful purchase, this item would be added to your courses.You can access your courses in the following ways :

  • From the computer, you can access your courses after successful login
  • For other devices, you can access your library using this web app through browser of your device.


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