About the course
DataHack Summit 2018 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 1200 participants representing close to 400 companies. The highlights of the conference were: 50+ talks, 15+ hack sessions, 8 workshops, and Ronal Van Loon and Tarry Singh as the keynote speakers.
These videos are of both days of the conference exclusively available only to the conference attendees until our next conference in 2019.
Course curriculum
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1
Opening Remarks - DataHack Summit 2018
- Opening Remarks - By Kunal Jain
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2
DataHack Summit 2018 - Day 1 Sessions
- Auditorium-1 | Hack Session: Building a Recommendation Engine using Machine Learning and Deep Learning - By Kiran R
- Downloadables - By Kiran R
- Auditorium-1 | Keynote 1: The Future of Data in Digital Enterprise - By Ronald van Loon
- Auditorium-1 | Human Centric AI: Applying AI to National Scale Challenges of India - By Bharat Kaul
- Auditorium-1 | Hack Session: Building your first intelligent agent to play video games, using Reinforcement Learning and Pytorch! - By Xander Steenbrugge
- Auditorium-1 | Can AI really help in drug development? Only if you know where and how! - By Gaurav Tripathi
- Downloadables - By Gaurav Tripathi
- Auditorium-1 | Panel Discussion Keeping Relevant in the World of Artificial Intelligence -By Speaker Panel
- Auditorium-1 | Startup Showcase - Empower Energy - By Ronit Kanwar & James Dickson
- Downloadables - By Ronit Kanwar & James Dickson
- Auditorium-1 | Patterns of Insights - By Anand S
- Downloadables - By Anand S
- Auditorium-1 | Quantum Computing and its impact on Quantum Machine Learning - By Dr. Mandaar Pande
- Auditorium-2 | Crossing the Chasm – Bridging the Gap between Machine Learning and Business Decision-Making - By Karthikeyan Sankaran
- Auditorium-2 | Importance of Ethics in Artificial Intelligence - By Kunal Jain
- Auditorium-2 | Startup Showcase : Rice Inc - By Lincoln Lee
- Auditorium-2 | Diagnosing your Model : Learning How To Debug Deep Learning Models Using Visualisation For Medical Images - By Rohit Ghosh
- Auditorium-2 | IoT and Machine Learning: It Takes Two to Tango - By Praveen Pankajakshan & Harshit Lohani
- Auditorium-2 | Data Driven Development of a Cancer Blood Test Based on a Support Vector Machine - By Raik Otto
- Auditorium-2 | Automating Industrial Safety Monitoring using Video Analytics - By Sri Vallabha Deevi
- Auditorium-3 | Hack Session: Effective Feature Engineering – A Structured Approach to Building Better ML Models -By Dipanjan Sarkar
- Auditorium-3 | Hack Session: Understanding the Building Blocks of Deep Learning using PyTorch - By Vishnu Subramanian
- Auditorium-3 | Using Machine Learning to solve for Product Quality in E-commerce - By Shilpi Bhabhra & Sumit Gupta
- Auditorium-3 | Hack Session: What makes you More Money - A/B Testing or Multi-Armed Bandit? - By Ankit Choudhary
- Auditorium-3 | Hack Session: Identifying Location using Clustering and Language Model - By Divya Choudhary
- Auditorium-3 | Hack Session: Graph Embedding - Social Network Analysis through Deep Learning lens - By Srishti Gupta
- Auditorium-3 | Automated Catalogue Management and Image Quality Assessment using Deep Learning - By Souradip Chakraborty
- AI&ML Blackbelt Plus Program (Sponsored)
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3
DataHack Summit 2018 - Day 2 Sessions
- Auditorium-1 | Blockchain in Financial Services - By Ratnakar Pandey
- Downloadables- By Ratnakar Pandey
- Auditorium-1 | Applications of AI/ML in Automated Code Generation from Design Requirements -By Dr. Archisman Majumdar & Rajendrakumar Mishra
- Auditorium-1 | Keynote 2: Climbing that Deep Learning Hill - By Tarry Singh
- Auditorium-1 | Introduction to the World of Reinforcement Learning: Applications and Challenges - By Professor Balaraman Ravindran
- Downloadables - By Prof. Balaraman Ravindran
- Auditorium-1 | Hack Session: Finding Relationships Between Multiple Non-Stationary Time Series - By Vikas Agrawal
- Auditorium-1 | Big Data and AI for Policy and Governance - Opportunity for India - By Dr. Pulak Ghosh
- Auditorium-1 | Panel Discussion Advantages and Applications of GANs - By Speaker Panel
- Auditorium-1 | Oil and Gas 4.0: Data Science & AI Applications in the Oil & Gas Industry - By Yogendra Narayan Pandey Ph. D
- Downloadables - By Yogendra Narayan Pandey Ph.D
- Auditorium-1 | Applications of Cognitive Computing Research - By Joy Mustafi
- Auditorium-2 | Building Intelligent Chatbots from Scratch - By Amitoj Singh & Rishi Shah
- Auditorium-2 | Synthetic Class Specific Medical Image Generation using GANs - By Dr. Sunil Vuppala
- Downloadables - By Dr. Sunil Vuppala
- Auditorium-2 | Introduction to H2O Driverless AI – Automatic Machine Learning for the Enterprise - By Sairaam Varadarajan
- Downloadables - By Sairaam Varadarajan
- Auditorium-2 | Data Science is Changing and Data Scientists Need to Change Too – Here’s Why and How - By Soumendra Mohanty
- Downloadables - By Soumendra Mohanty
- Auditorium-2 | Using Deep Learning for Information Security - By Dr. Satnam Singh
- Downloadables - By Dr. Satnam Singh
- Auditorium-2 | Hack Session: Data Engineering And Data Science for Leveraging High Frequency Streaming Data - By Hindol Basu & Bijoy Khandelwal
- Downloadables - By Hindol Basu & Bijoy Khandelwal
- Auditorium-2 | Hack Session: Deep Learning from the Trenches - Object Detection using Deep Learning - By Faizan Shaikh & Sunil Ray
- Downloadables - By Faizan Shaikh & Sunil Ray
- Auditorium-2 | AI on the Edge - By Krishnakumar Shetti & Mashrin Srivastava
- Auditorium-3 | Startup Showcase : Worxogo Solutions Pvt. Ltd. - By Sivaramakrishnan Narayanan
- Downloadables - By Sivaramakrishnan Narayanan
- Auditorium-3 | Hack Session: TensorFlow.js - Deep Learning in the Browser | Part1- By Amit Kapoor
- Auditorium-3 | Hack Session: TensorFlow.js - Deep Learning in the Browser | Part2- By Amit Kapoor
- Auditorium-3 | Hack Session: Automating the Machine Learning Pipeline with AutoML -By Dr. Sunil Kumar Chinnamgari
- Downloadables - By Dr. Sunil Kumar Chinnamgari
- Auditorium-3 | Introduction to Cyclical Learning Rates for Training Neural Nets - By Sayak Paul
- Downloadables - By Sayak Paul
- Auditorium-3 | Hack Session: Performing Feature Selection in High Dimensional Spaces - By Sidharth Kumar
- Downloadables - By Sidharth Kumar
- Auditorium-3 | Failing Fast with Deep Learning - By Jaidev Deshpande
- Downloadables - By Jaidev Deshpande
- Auditorium-3 | Hack Session: Transition from Pandas to Spark Dataframe using Scala - By Joydeep Bhattacharjee
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4
Closing Remarks - DataHack Summit 2018
- Closing Remarks - By Kunal Jain