When I started looking around Big Data/Hadoop couple of years back, the amount of information to get started was sparse and I had to spend a lot of time to be comfortable with Big Data. Now the problem is that there is too much information/noise and it's taking time to separate the good from the bad. RSS aggregators (1) are making it even more difficult.
Anyway, above is a nice video to get started with Machine Learning and Python. There are a lot of things happening in R and Python space in the context of Machine Learning, but this session is a bit biased towards Python and covers from what Machine Learning is to all about to showing Python code for a simple use case. It's worth the time watching the video.