×
Create CV Books Summaries Online Courses Blog Communities

Login

Sign up
MindLuster Logo
Categories
Recent

Mathematics for Machine Learning

Course Reviews

Track :

Programming

Lessons no : 6

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

Join The Course Go To Community Download Course Content

What will you learn in this course?
  • Master statistical techniques for machine learning model development and evaluation using real-world datasets
  • Apply linear algebra concepts to feature transformation, data representation, and dimensionality reduction in machine learning projects
  • Utilize probability theory to model uncertainty, predict outcomes, and improve machine learning algorithms' accuracy
  • Implement calculus-based optimization methods to tune model parameters and enhance machine learning performance
  • Analyze and interpret mathematical concepts to troubleshoot and refine machine learning models effectively
  • Integrate statistics, linear algebra, probability, and calculus to build robust, efficient, and scalable machine learning solutions

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 6


We Appreciate Your Feedback

Excellent
0 Reviews
Good
0 Reviews
medium
0 Reviews
Acceptable
0 Reviews
Not Good
0 Reviews
4
2 Reviews
RAHEL TSEGAYE 

help me it says " this video is unavailable" what can i do??
2025-03-03

Bharath kumar 

i want this vedios  can you help me
2024-08-14

Show More Reviews

Our New Certified Courses Will Reach You in Our Telegram Channel
Join Our Telegram Channels to Get Best Free Courses

Join Now

Related Courses

React Projects Workshops
33 Lessons

React Projects Workshops

Node js back end JavaScript
34 Lessons

Node js back end JavaScript

Python programming language
15 Lessons

Python programming language

Social Network Theme UI With Sass
4 Lessons

Social Network Theme UI With Sass

Full Stack React Django
7 Lessons

Full Stack React Django

Build a Node js App With Sequelize
3 Lessons

Build a Node js App With Sequelize

GraphQL With React Apollo
4 Lessons

GraphQL With React Apollo

Node js REST API With Restify Mongoose JWT
2 Lessons

Node js REST API With Restify Mongoose JWT

Full Stack Vue js Express MongoDB
3 Lessons

Full Stack Vue js Express MongoDB

Exploring Docker
3 Lessons

Exploring Docker

Responsive Portfolio Website
7 Lessons

Responsive Portfolio Website

The MERN Stack
12 Lessons

The MERN Stack

PHP REST API High level
3 Lessons

PHP REST API High level

Up unning With Symfony 4
3 Lessons

Up unning With Symfony 4

JavaScript Workshops
3 Lessons

JavaScript Workshops

PHP MySQL Stripe API Payment App
3 Lessons

PHP MySQL Stripe API Payment App

Machine learning is powered by four critical concepts and is Statistics, Linear Algebra, Probability, and Calculus. While statistical concepts are the core part of every model, calculus helps us learn and optimize a model .