Machine Learning is a very wide topic and it is too much for a newbie to learn everything, then start focusing on those relevant to him.

Suppose I am interested in pattern recognition in time-series data. Which topics in machine learning should I pay more attention to?

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    $\begingroup$ This would help $\endgroup$ – Dawny33 Nov 29 '15 at 6:30

All depends on what type of data you would like to perform the pattern recognition in time-series: words/expressions on web, imagery or voice recognition.

I have more experience in the first, and from what I know, the most popular : structural learning algorithms like CRF, and from the newest - NuPic , that is, apparently, very popular also for imagery and voice recognition too.

also check Convolutional and Recurrent neural networks for pattern recognition in time-series, that are actively used by giants like Google

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