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November 12,2017 - October 31,2018

DataHack Summit 2017 - Day 1

Get access to videos of all the sessions of the first day during Datahack Summit 2017

About The DataHack Summit

DataHack Summit was a unique conference aimed towards data science leaders and practitioners, analytics COE heads and business decision makers across various industry verticals. All sessions and workshops were crafted to be technical in nature and hands-on sessions. The conference focused on Cyber Security, Cloud Computing, Natural Language Processing, Predictive Modelling, A.I., Machine Learning, etc. The event was a huge success with around 800 participants representing close to 200 companies. The highlights of the conference were: 30+ talks, 10+ hack sessions, 6 workshops and Dr. Kirk D Borne as the keynote speaker

These videos are of the first day of the conference exclusively available only to the conference attendees until our next conference in 2018.


No pre-requisites are required for the conference attendees to follow this course.

Frequently Asked Questions

What is the duration of this course?

This course would be available till one year i.e. Oct 2018.

Who can access this course?

Only the DataHack Summit participants are allowed to access this course.

I was not a participant in the DataHack Summit, can I still access this course?

Yes, you can access this course after contacting


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Analytics Vidhya

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Analytics Vidhya offers a high engagement community of data scientists and analytics professionals. You can connect with them to solve cutting-edge problems to hire them or turn them into evangelists of your products and services


  • Opening Remarks
  • Keynote: Self Driving Enterprise by Kirk Borne
  • Artificial Intelligence on Intel Architecture by Bharat Kaul
  • Fusion of Data Science and Deceptive Security to Defend Against Cyber Threats by Satnam Singh
  • How to Automate Machine Learning Pipeline by Axel De Romblay
  • Big Data and Machine Learning Applications for Genomics and Personalized Medicine by Dr. Rohit Gupta
  • How to Build Better Supervised Models? Learnings from Industry and Data Science Competitions by Kiran R
  • Analytics to Assess Credit Risk with Small Samples by Prithvi Chandrasekhar
  • Panel Discussion - Data Science Skills required in 2020 by Paul Mienshausen, Charanpreet Singh, Manish Singhal, Kalpit V. Desai, Neeraj Saxena
  • Generative Adversarial Networks by Keshav Dhandhania
  • Attention-based Deep Learning Models to Extract Details from Images by Vijay Gabale
  • Achieve Faster Training of ML Algorithms using Google TensorFlow on IBM PowerAI by Jacob Mathew
  • Visualization of Learning and Localization of Convolutional Neural Networks by Sunil Kumar Vuppala
  • Hack Session: A tutorial on Web Scraping using Python by Anuvrat Parashar
  • Geo-coding using NLP by Shantanu Bhattacharyya and Farhat Habib
  • How to Visualize Machine Learning Models by Anand S
  • Hack Session: Introduction to Implementing Neural Networks using TensorFlow by Dishashree Gupta and Faizan Shaikh
  • Hack Session: Sentiment Analysis using NLP and Deep Learning by Jeeban Swain
  • Hack Session: Forecasting Stock Prices using ARIMA Model by Neeraj Singh Sarwan
  • Hack Session: Machine Learning in Production by Prathamesh Sarang
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  • Full videos access till Oct 31st 2018
  • Videos of all the Talks and Hack Sessions
  • Learn about AI and ML from Industry experts