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Armando López Cuevas
PhD
Armando López Cuevas
1
PhD
· Guadalajara, México
HELLO

Hello, my name is Armando. I have been working as a data scientist for the past years on several exciting projects that involve Natural language processing, machine learning, data mining etc… I’m always eager to learn new techniques/concepts and collaborate with great people!

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Armando López Cuevas

Thankyou for ur suggestion.

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Armando López Cuevas
1
PhD
· Guadalajara, México

Hi Narendran:
it is a very general question. NLP, machine learning and Deep learning are by themselves huge areas, and it is hard to be specific without leaving anything behind… but, either way, you have to start by something right? Thus, my recommendation is the following:
NLP: start by the basics (tokenization, stemming, regex, part of speech…) then go to the medium like corpus-based sentiment analysis, topic detection, latent dirichlet allocation, entity recognition etc…, for this you can use several libraries in python as gensim, spacy, nltk, fasttext (facebook) etc…, next go to the advanced like NLU, NLG, conversation, factoid question answering etc…
ML: random trees random forest SVM, KNN, SOM, NN etc…
Deep Learning: start with convolutional neural nets, then go to Recurrent Neural networks like LSTM, then GAN, capsule networks etc…
There are a lot of great courses online! Blogs, collaborative networks etc… Have fun!

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Thankyou for ur suggestion.

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Narendran Ashok
19
Founder Sciencotonic Edu Pvt Ltd
· Chennai, Tamil Nadu, India

Hi, Thankyou so much for ur suggestion…!!That will be helpful…

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Ranjan Dailata
92
Solution Architect. Collaborizm Roundtable.
· Mysuru, Karnataka, India

Narendran Ashok Please take a look into the open source project - Compromise - https://github.com/nlp-compromise/compromise That covers most of the basic concepts that Armando López Cuevas mentioned

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