Huge repo of courses, resources covering Computer Science, AI, ML, Data SCIENCE, Maths and lot more
#beginner #machinelearning #datascience #github
@kdnuggets @datasciencechats
https://github.com/Developer-Y/cs-video-courses#math-for-computer-scientist

Few fundamental topics of math needed for machine learning:

- Statistics
- Probability
- Linear Algebra
- Calculus

You definitely do not need to know any of these at the start.

However, that does not mean math is not important for ML because it is.

Just know that it is totally fine to start without it and can be learned along the way.
#math #machinelearning #beginner
@kdnuggets @datasciencechats

Source: Twitter - Prasoon Pratham

Why math matters in machine learning?

🔹Algebra will teach you how to represent and manipulate data.
🔹Statistics, how to extract meaning from it.
🔹Probability, how to make decisions under uncertainty.
🔹Optimization, how to measure and improve performance.

#math #machinelearning #beginner
@kdnuggets @datasciencechats

Source: Twitter - Alejandro Piad

Free Maths For Machine Learning Course Overview:
Part 01: Linear Algebra and Mathematical Foundation
Part 02: Analytic Geometry
Part 03: Matrix Decomposition
Part 04: Vector Calculus
Part 05: Statistics
Part 06: Empirical Risk Minimization Theory
@coursenuggets @kdnuggets @datasciencechats
#beginners #math #machinelearning
https://www.youtube.com/playlist?list=PLaU7MWI8yG9Uxszchxz-M0u-765vnu6g9