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Nikitinsky Nikita's Blog (4)

Conditional Random Fields (CRF): Short Survey

Currently, many of us are overwhelmed with mighty power of Deep Learning. We start to forget about humble graphical models. CRF is not so trendy as LSTM, but it is robust, reliable and worth noting.

In this post, you will find a short summary about CRF (aka Conditional Random Fields) – what is this thing, what is it for and some interesting facts. Enjoy!…

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Added by Nikitinsky Nikita on August 22, 2016 at 5:00am — No Comments

A tale about LDA2vec: when LDA meets word2vec

catdog_word2vec_cropped

A few days ago I found out that there had appeared lda2vec (by Chris Moody) – a hybrid algorithm combining best ideas from well-known LDA (Latent Dirichlet Allocation) topic modeling algorithm and from a bit less well-known tool for language modeling named word2vec.

And now I’m going to tell you a tale about lda2vec and my attempts to try it and compare with simple LDA…

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Added by Nikitinsky Nikita on February 1, 2016 at 12:00pm — 1 Comment

Google + open-source = TensorFlow

TensorFlow

Recently, when I was attending AINL-ISMW FRUCT 2015 conference, I found out that Google open-sourced TensorFlow. That is cool, but may provoke some questions. Here, I try to answer some of them.

What is TensorFlow?

It is definitely…

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Added by Nikitinsky Nikita on November 22, 2015 at 5:54am — No Comments

My Data Science Apprenticeship Project

Introduction

Any author would like to know if his/her article will be successful or not. Here is an attempt to deal with this task.

Data and tools

  1. We obtained 5000 most significant articles (Analytic Bridge and Data Science Central) from here (…
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Added by Nikitinsky Nikita on October 26, 2014 at 10:30am — 1 Comment

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