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

Explanation

By the end of this Specialization, you will be ready to:

Express data as variables and variables and identify their properties using the concepts of singularity, rank, and linear independence.
Apply common vector and matrix algebra operations such as dot product, inverse, and determinants
Express some types of matrix operations as linear transformations
Apply the concepts of eigenvalues and eigenvectors to machine learning problems

A deep understanding of the math that makes machine learning algorithms work.
Statistical techniques that enable you to get more out of your data analysis.
Basic skills that employers want, helping you ace machine learning interview questions and landing your dream job.
Express data as variables and variables and identify their properties using the concepts of singularity, rank, and linear independence.

Machine Learning Mathematics and Data Science Specialization

A high school level of math and a basic understanding of machine learning concepts will help you benefit from this class.

Machine Learning Mathematics and Data Science Specialization

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Subtitle : English

Quality: 720p

Quizzes and labs, etc.: link 1, connection 2

The specialization consists of 3 courses.

Version 2023/11 compared to 2023/2: Probability & Statistics in Machine Learning & Data Science course added.

Version 2024/4 compared to 2023/2 increased the number of 6 lessons and the duration of 1 hour 46 minutes. Also, 34 text files are included.

Machine Learning Computing and Data Science Optimization

Linear Algebra in Machine Learning and Optimization in Data Science

Probability & Statistics Machine Learning & Optimization Data Science

1.82GB