Coursera – Mathematics for Machine Learning and Data Science Specialization 2024-4

Published on: 2024-04-13 13:22:42

Categories: 28

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 , Magdalena Bouza , Elena Sanina , Anshuman Singh
Language : English
Level : Beginner
Number of Course : 3
Duration : Approximately 3 months to complete with Suggested pace of 5 hours/week

Content of Mathematics for Machine Learning and Data Science Specialization

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

Mathematics for Machine Learning and Data Science Specialization

Sample Clip

Video Player

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Use Up/Down Arrow keys to increase or decrease volume.

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.

Download Links

Calculus for Machine Learning and Data Science fix

Download – 471 MB

Linear Algebra for Machine Learning and Data Science fix

Download – 524 MB

Probability & Statistics for Machine Learning & Data Science fix

Download – 877 MB

Password file(s): www.abc.com

File size

1.82 GB

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