Math4ML Exercises: Getting Started & Linear Algebra
This course introduces students to the basics of Math4ML Exercises, including how to set up the notebook and use the Autograder. It also covers the fundamentals of linear algebra, such as array shapes and dimension counting. Students will gain an understanding of how linear algebra is similar to programming, and how to apply it to machine learning. ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
Math4ML Exercises: Getting Started & Linear Algebra is a course designed to help learners get started with machine learning and linear algebra. It covers the basics of linear algebra, including array shapes, matrices, and transposes. It also provides exercises to help learners practice and apply their knowledge. The course starts with an overview of the course and why it is important to learn linear algebra for machine learning. It then covers how to set up the notebook and use the Autograder. Learners will also be able to see example Autograder outputs. The course then dives into linear algebra, explaining how it is like programming and how array shapes are like types. It provides exercises to help learners practice and apply their knowledge, such as dimension counting and shapes and transposes. It also explains how matrices are like functions and provides an exercise to practice this concept. Finally, the course provides an outro to wrap up the course. This course is perfect for learners who want to get started with machine learning and linear algebra. It provides a comprehensive overview of the topics and exercises to help learners practice and apply their knowledge.
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