In this post, I am sharing the easiest way to free download the Machine Learning Foundations: Linear Algebra in video format file direct link to the latest updates.
| File Name: | Machine Learning Foundations Linear Algebra |
| Publisher: | Levi Ross |
| File Size: | 318.1 MB |
| Video: | h264, 1280×720 |
| Audio: | AAC, 44.1 kHz |
| Duration: | 1h 20m |
| Content Source: | https://www.linkedin.com/learning/machine-learning-foundations-linear-algebra |
| Category: | VIDEO COURSE |
| File Format: | ZIP & RAR |
| Last Update: | 2022-08-31 |
| Languages: | English |
Description
Ever wondered what’s really going on underneath a machine learning algorithm? The answer is linear algebra. Without it, machine learning can’t exist. Linear algebra is a prerequisite for understanding and creating nearly all machine learning algorithms, especially those that prop up neural networks, natural language processing tools, and deep learning models.
Join instructor Terezija Semenski for an in-depth exploration of the core concepts of linear algebra alongside the techniques needed to design and implement a successful machine learning algorithm. Discover the basics of vector arithmetic, vector norms, matrix properties, advanced operations, matrix transformation, and algorithms like Google PageRank. By the end of this course, you’ll be ready to take the principles of linear algebra and apply them to your next big machine learning project.
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