Data Science & Machine Learning
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Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free

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Do you want to learn from books?
Anonymous Poll
76%
Yes
24%
No
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Channel name was changed to ยซLearn data science and Machine Learningยป
๐Ÿ‘ฉ๐Ÿปโ€๐Ÿ’ป Why should one study Linear Algebra for ML?

๐Ÿ‘‰๐Ÿผ Clearly, to develop a better intuition for machine learning and deep learning algorithms and not treat them as black boxes. This would allow you to choose proper hyper-parameters and develop a better model. You would also be able to code algorithms from scratch and make your own variations to them as well.

๐Ÿ‘‰๐Ÿผ Learn Linear Algebra for Machine Learning with:

Khan Academy: https://www.khanacademy.org/math/linear-algebra

Udacity: https://www.udacity.com/course/linear-algebra-refresher-course--ud953

Coursera: https://www.coursera.org/learn/linear-algebra-machine-learning

Here are some amazing freely available ebooks on the same topic:

Mathematics for Machine Learning: https://mml-book.github.io/book/mml-book.pdf

An Introduction to Statistical Learning: https://faculty.marshall.usc.edu/gareth-james/ISL/

Happy machine learning! ๐ŸŽ‰
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Which step is done just after collecting data?
Anonymous Quiz
10%
Predictive data analysis
21%
Data visualization
69%
Data cleaning
Building the Machine Learning Model
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