Video description
These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression.
Table of contents
Product information
- Title: What Is Mathematical Notation in 3 Minutes?
- Author(s):
- Release date: April 2024
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 0642572030230
You might also like
video
What Are Summation and Product Notation in 3 Minutes?
These videos are a series of shorts explaining critical data science concepts through visuals and concise …
video
What Is Linear Regression in 3 Minutes?
These videos are a series of shorts explaining critical data science concepts through visuals and concise …
video
What is Normal Distribution in 3 Minutes?
These videos are a series of shorts explaining critical data science concepts through visuals and concise …
video
What Are Vector Embeddings?
Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the …