Linear Algebra: Maths For ML Series Part 1
Author: Fabio Mardero
Study time: 4-6 hours
Video time: 2.25 hours
Linear Algebra: Maths For ML Series Part 1 course is one of the six courses of the series (Mathematics For Machine Learning). This course covers machine learning key elements, vector space, matrices, linear independence and basis and linear maps.
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After completing lecture videos and the quiz with a minimum score of 75% correct, you will be able to download your training completion certificate.
Data Scientist (Italy)
Fabio is a data scientist from Italy. He graduated in physics and statistical and actuarial sciences. He is currently working at a well-known Italian insurance company as a data scientist and Non-Life technical provisions evaluator.
What you are going to learn
A few more words about this course
This course/training is for beginners who are interested in learning the mathematics behind machine learning models. A basic understanding of statistics is recommended.
Linear Algebra: Maths For ML Series Part 1 course is one of the six courses of the series (Mathematics For Machine Learning). This course covers
- Machine Learning Key Elements
- Vector Space
- Linear Independence and Basis
- Linear Maps