Hello, I am Swetanjal Dutta, a 12th grader High School Student. Machine Learning and Deep Learning have always fascinated me. But I do not know where to start. There are many courses online but I am not sure which to take. So I would be glad if someone recommended me the ideal resource to get myself started in this field.
Python has NLTK , Java has Stanford's NLP tools , probably PHP also has a bunch of em, is there any such collection of tools for C++?
I have found some but either they were not open source (freeware/shareware) or discontinued.
If there are none , could anyone direct me to the resources which can explain how named entity recognition works? I think I can try to implement one if there is none (my training/testing set is limited).
I would highly likely would find a POS tagger , but it would be helpful if I can know how this thing works.
And lastly I would request Keshav Dhandhania , if he can share some his projects on Machine Learning especially Natural Language Processing with us.
I am currently going through the Stanford NLP course , particularly the N-grams part , fortunately thanks to Python's NLTK I can generate the frequency distribution and than probabilities , but doing this every time a query is fired (search suggestions) wont be economical. So I researched a bit on how to store them , but havent found any nice resource for it. Do anyone have some good resources on this topic? Also if some have some other resources for learning NLP , please share.
Applying classification algorithms to honeypot data
I would like to apply the naive bayes classifier to some honeypot data and I am having issue pre-processing the data. I am using the Kyoto honeypot dataset and i would love some help preprocessing it. Thanks