I have 7 years of experience in Machine learning. I have worked on CNN, NLP, traditional ML in domains like ecommerce, enterprise software, telecom, banking. Pay what you want. I have conducted 30+ ML interviews.
I haven’t worked with cbz, but had some good mocks through PracticeCodingInterview.com and Pramp.com. For example, http://www.practicecodinginterview.com/blog/2019/7/3/the-machine-learning-interview
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Is ML just hype and marketing or does it actually add any iota of value in Tech companies ? I am considering Finance trading companies here. Say for eg, sentiment detection can be done using simple word vector and it still works decent
Weather can be predicted by looking at the birds and trees. Why bother to build weather stations?
I worked in a startup and the ML features they build mostly are for hype and actually do not add any value. Say for eg, long news articles are summarised using a fancy summariser algo in a paper. Whereas giving the first few lines of a long news feed acts as a decent summary / teaser. Also I read the summary output of the algorithm , and actually felt meaningless and shuffled randomly. This team is lead by a PhD from TAMU in ML. He was very proud about his summariser service. So just wondering if this same fraud is going on in the name of ML everywhere.