10 days may not seem like a lot of time, but with proper self-discipline and time-management, 10 days can provide enough time to gain a survey of the basic of machine learning, and even allow a new practitioner to apply some of these skills to their own project. 10 days? Hm, that’s definitely a challenging task :). However, I think that 10 days is also definitely a time frame where you can get a pretty good overview of machine learning field and maybe get started to apply some techniques to your problems. After reading an introduction to the 3 different subfields (supervised learning, unsupervised learning, and reinforcement learning). I would probably spend the time on simple (yet useful) algorithms that are representative of these fields (and maybe save reinforcement learning for later). E.g., Simple linear regression and Ridge Regression for regression analysis, logistic regression and k-nearest neighbors for classification, and k-means and hierarchical clustering for clusteri
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