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Deep Learning is a sub-class of Machine Learning algorithms whose peculiarity is a higher level of complexity. So, Deep Learning belongs to Machine Learning and they are absolutely not opposite concepts. We refer to shallow learning to those techniques of machine learning that are not deep.
An overview of computational complexity including the basics of big O notation and common time complexities with examples of each. #algorithms #datascience
Python and R cheat sheets for machine learning algorithms. It contains codes on data science topics, decision trees, random forest, gradient boost, k means.
