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Abhik Seal
Worked at State Bank of India
Attends Indiana University Bloomington
Lives in Indiana, United States
324 followers|76,855 views
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Abhik Seal

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Open Source Release of TensorFlow

I'm very excited to announce the open source release of the TensorFlow machine learning library that I and many others at Google have been building.

This blog post gives an overview:
  http://googleresearch.blogspot.com/2015/11/tensorflow-googles-latest-machine_9.html

The web site has a number of tutorials and documentation about the system:
  http://tensorflow.org

The source is on GitHub:
  https://github.com/tensorflow/tensorflow

You might also be interested in the whitepaper we've prepared that describes TensorFlow in more detail:
  http://tensorflow.org/whitepaper2015.pdf

We'd love to hear what people think.
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Well some adverse effects data. :)
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This time on link prediction, rather than using a regular Random walk o predict links i will be using a new approach to predict links like regression . We know that the main approach of predicting links uses measures of netwo...
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Link Prediction using Network based Inference - A quick matrix based implementation
I explored a paper proposed by Zhou etal used Network based Inference (NBI) method to predict missing links in bipartite network and was thinking a lot how to implement using some simple matrix ways. I have taken the pic below from Zhou paper above  to expl...
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More on adverse effect mining
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FDA Adverse Effect Data Mining Part 2
In the last 1st part of the blog we have shown how to use FDA data to visualize adverse events for a particular drug and how to use brandnames and ATC group class and visualize it using rCharts pyramid plots .  This section of the blog discusses about how t...
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Abhik Seal

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In his excellent blog post, Matt Swain described the implementation of compound similarity searches in MongoDB. Unfortunately, Matt's approach had suboptimal (polynomial) time complexity with respect to decreasing similarity thresholds, which renders unsuitable for production environments.
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Your chance is here to earn +MIT Professional Education certificates and ceus and get an in-depth head start in #datascience . Learn about data collection and storage, #analytics , visualization, and the applications of Big Data. Register now for Tackling the Challenges of Big Data: http://ow.ly/MlEyB
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Link Prediction Using Network Regression Model
This time on link prediction, rather than using a regular Random walk o predict links i will be using a new approach to predict links like regression . We know that the main approach of predicting links uses measures of network proximity adapted from graph ...
This time on link prediction, rather than using a regular Random walk o predict links i will be using a new approach to predict links like regression . We know that the main approach of predicting links uses measures of netwo...
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KEGG Data Errors. I am pissed off !!
I  am onto my Phd thesis working day and night but i after running my calculations i found the results were not as much promising as i was expecting.  In order to build a predictive model you got to have a train set and test set so as i made. I was checking...
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FDA Adverse effect mining part 2
In the last  1st part of the blog  we have shown how to use FDA data to visualize adverse events for a particular drug and how to use brandnames and ATC group class and visualize it using  rCharts   pyramid plots .  This section of the blog discusses about ...
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Adverse Effect mining of FDA data
. US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS, formerly AERS) is a database that contains information on adverse event and medication error reports submitted to the FDA. The database is designed to support the FDA's post-mark...
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Have him in circles
324 people
dr john allen Berger's profile photo
Bharath Bharath Thiagarajan's profile photo
Kuldeep Sharma's profile photo
Scientific Protocols's profile photo
Tewodros Angello's profile photo
krishna kumar's profile photo
Yuyi Galiciaserrano's profile photo
Jitesh singh Darmwal's profile photo
Anas Purakkattu's profile photo
Work
Occupation
PHD Cheminformatics student At Indiana Univesity
Employment
  • State Bank of India
    2009 - 2011
  • Indiana University
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Currently
Indiana, United States
Previously
Bloomington, IN, United States - Indianapolis, IN, United States
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Indiana University Bloomington INFO WEST ROOM 205
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Introduction
I love Open source research. I feel research should be started at school level so that in India Research community can grow and challenge any country..

Education
  • Indiana University Bloomington
    Cheminformatics, 2011 - present
  • OSDD
    Cheminformatics, 2009 - present
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Bunty
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