Descriptions
Mathematics for Machine Learning and Data science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. This beginner-friendly program is where you’ll master the fundamental mathematics toolkit of machine learning. Many machine learning engineers and data scientists struggle with mathematics. Challenging interview questions often hold people back from leveling up in their careers, and even experienced practitioners can feel held by a lack of math skills. This specialization uses innovative pedagogy in mathematics to help you learn quickly and intuitively, with courses that use easy-to-follow plugins and visualizations to help you see how the math behind machine learning actually works. Upon completion, you’ll understand the mathematics behind all the most common algorithms and data analysis techniques — plus the know-how to incorporate them into your machine learning career.
By the end of this Specialization, you will be ready to:
- Represent data as vectors and matrices and identify their properties using concepts of singularity, rank, and linear independence
- Apply common vector and matrix algebra operations like dot product, inverse, and determinants
- Express certain types of matrix operations as linear transformations
- Apply concepts of eigenvalues and eigenvectors to machine learning problems
What you’ll learn
- A deep understanding of the math that makes machine learning algorithms work.
- Statistical techniques that empower you to get more out of your data analysis.
- Fundamental skills that employers desire, helping you ace machine learning interview questions and land your dream job.
- Represent data as vectors and matrices and identify their properties using concepts of singularity, rank, and linear independence
Specificatoin of Mathematics for Machine Learning and Data Science Specialization
- Publisher : Coursera
- Teacher : Luis Serrano
- Language: English
- Level : All Levels
- Lectures : 3
- Duration : 12 weeks to complete at 5 hours a week
Content of Mathematics for Machine Learning and Data Science Specialization
Requirements
- A high-school level of mathematics and a beginner’s understanding of machine learning concepts will help you get the most out of this class.
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Quizzes and labs, etc.: link 1, link 2
This Specialization contain 3 courses.
Version 2023/11 compared to 2023/2: Probability & Statistics for Machine Learning & Data Science course has been added.
The version of 2024/4 compared to 2023/2 has increased the number of 6 lessons and the duration of 1 hour 46 minutes. Also, 34 text files have been added.
The 2025/10 version has increased by 2 lessons compared to 2024/4.
Download Links
Downloadly
Course 1 – Linear Algebra for Machine Learning and Data Science
Course 2 – Calculus for Machine Learning and Data Science
Course 3 – Probability & Statistics for Machine Learning & Data Science
Rapidgator
Course 1 – Linear Algebra for Machine Learning and Data Science
Course 2 – Calculus for Machine Learning and Data Science
Course 3 – Probability & Statistics for Machine Learning & Data Science
Password file(s): www.downloadly.ir
File size
1.86 GB
7 Comments. Leave new
plz update this course
Hi
No change
Please update this course
Hi
Updated
please update the full course asap 🙂
Hi
It is complete.
course 3 is not downloadable
Thanks so much for the resource, been waiting for this