Math 0-1: Matrix Calculus in Data Science & Machine Learning

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Math 0-1: Matrix Calculus in Data Science & Machine Learning

Math 0-1: Matrix Calculus in Data Science & Machine Learning

A Casual Guide for Artificial Intelligence, Deep Learning, and Python Programmers

Created by Lazy Programmer Inc | 6.5 hours on-demand video course

Welcome to the exciting world of Matrix Calculus, a fundamental tool for understanding and solving problems in machine learning and data science. In this course, we will dive into the powerful mathematics that underpin many of the algorithms and techniques used in these fields. By the end of this course, you’ll have the knowledge and skills to navigate the complex landscape of derivatives, gradients, and optimizations involving matrices.

Course Objectives:

  • Understand the basics of matrix calculus, linear and quadratic forms, and their derivatives.
  • Learn how to utilize the famous Matrix Cookbook for a wide range of matrix calculus operations.
  • Gain proficiency in optimization techniques like gradient descent and Newton’s method in one and multiple dimensions.
  • Apply the concepts learned to real-world problems in machine learning and data science, with hands-on exercises and Python code examples.

What you’ll learn in Matrix Calculus Course

  • Derive matrix and vector derivatives for linear and quadratic forms
  • Solve common optimization problems (least squares, Gaussian, financial portfolio)
  • Understand and implement Gradient Descent and Newton’s method
  • Learn to use the Matrix Cookbook

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Conclusion: Matrix calculus is an indispensable tool in the fields of machine learning and data science. It empowers you to understand, create, and optimize algorithms that drive innovation and decision-making in today’s data-driven world. This course will equip you with the knowledge and skills to navigate the intricate world of matrix calculus, setting you on a path to become a proficient data scientist or machine learning engineer. So, let’s dive in, embrace the world of matrices, and unlock the secrets of data science and machine learning together!

Who this Matrix Calculus course is for:

  • Students and professionals interested in the math behind AI, data science and machine learning
Josh Smith
Josh Smith

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