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Get started in machine learning, or find out why "bots" may not be the best answer, or how would you do K-Means from scratch?

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Today we have some very good AI/ML posts. First, Pete Warden tells us how to break into machine learning. It is some very practical advice on how to get started. Machine Learning Mastery, my new favorite ML blog, talks about boosting and AdaBoost. David Lettier shows us how to develop K-Means from scratch. Lastly, on An Uncommon Lab we get to see how Kalman Filters work.

As always, enjoy today’s items, and please participate in the discussions on these sites.

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