lists/best-websites-a-programmer-should-visit
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Added Simplilearn's simplified Machine Learning playlist and corrected some grammatical errors.

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@@ -429,8 +429,9 @@ When learning CS, there are some useful sites you must know to get always inform
- [Blog Floydhub](https://blog.floydhub.com/colorizing-b&w-photos-with-neural-networks/) : Colorizing B&W Photos with Neural Networks
- [MLCOURSE.AI](https://mlcourse.ai/) : Open Machine Learning course by OpenDataScience
- [Elements of AI](https://course.elementsofai.com/) : A free course for AI basics by Reaktor and University of Helsinki
- [Machine Learning Mastery](https://machinelearningmastery.com/) : An comprehensive blog that contains guidance, tutorials, and e-book for mastering ML
- [Machine Learning Mastery](https://machinelearningmastery.com/) : A comprehensive blog that contains guidance, tutorials, and e-book for mastering ML
- [Machine Learning Crash Course](https://developers.google.com/machine-learning/crash-course) : A jumpstart AI course from Google
- [Machine Learning Tutorial: A Step-by-Step Guide for Beginners](https://www.simplilearn.com/tutorials/machine-learning-tutorial) : A one-stop playlist for all the basics of Machine Learning simplified, from Logistic Regression to Reinforcement Learning.
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