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<p><strong>If you have decided to learn R as your data science programming language, you have made an excellent decision!</strong>
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<p><strong>This course offers you practical training in machine learning, using the R program.</strong> <strong>At the end of the course you will know how to use the most widespread machine learning techniques to make accurate predictions and get valuable…
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Channel name was changed to «Learn data science and Machine Learning»
👩🏻💻 Why should one study Linear Algebra for ML?
👉🏼 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.
👉🏼 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! 🎉
👉🏼 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.
👉🏼 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! 🎉
❤1👍1
Do you want more books recommendations?
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Yes, books are great source for learning
Which step is done just after collecting data?
Anonymous Quiz
10%
Predictive data analysis
21%
Data visualization
69%
Data cleaning
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