Description
Math 0-1: Linear Algebra for Data Science & Machine Learning, the linear algebra training course for data science and machine learning is published by Udemy Academy. Linear algebra is one of the most important mathematical prerequisites for machine learning to understand probability and statistics that form the foundation of data science. Data in data science is represented using matrices and vectors, which are the main topics of study in this course. If you want to do machine learning beyond copying library code from blogs and tutorials, you need to know linear algebra.
This course will cover systems of linear equations, matrix operations (dot product, inverse, transversal, determinant, trace), low rank approximations, positive-definite and negative-definite, and eigenvalues and eigenvectors. The program will even include machine learning-based material that you wouldn’t normally see in a typical academic course, such as how to apply these concepts to GPT-4 and fine-tuning modern neural networks such as diffusion models (for the art of generative AI). and LLMs (Large Language Models) using LoRA. We’ll even demonstrate many of the concepts in this course using the Python programming language (don’t worry, you don’t need to know Python for this course).
What you will learn
- Solving linear equations
- Know higher dimensional vectors, matrices and tensors
- Know dot product, inner product, outer product, matrix product
- Applying linear algebra in Python
- Understanding the inverse, transversal, determinant, trace matrix
- Understanding matrix rank and low-rank approximations (eg SVD)
- Understanding eigenvalues and eigenvectors
Who is this course suitable for?
- Anyone who wants to quickly learn linear algebra
- Students and professionals interested in machine learning and data science
Course specifications Math 0-1: Linear Algebra for Data Science & Machine Learning
Chapters of Math 0-1: Linear Algebra for Data Science & Machine Learning
Course prerequisites
- Firm understanding of high school math
Pictures
Sample video
Installation guide
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English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
9.33 GB
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