The Fifth Elephant 2020 edition
On data governance, engineering for data privacy and data science
The ninth edition of The Fifth Elephant will be held in Bangalore on 16 and 17 July 2020.
The Fifth Elephant brings together over one thousand data scientists, ML engineers, data engineers and analysts to discuss:
- Data governance
- Data privacy and engineering for privacy including engineering for Personal Data Protection (PDP) bill.
- Data cleaning, annotation, instrumentation and productionizing data science.
- Identifying and handling fraud + data security at scale
- Feature engineering and ML platforms.
- What it takes to create data-driven cultures in organizations of different scales.
**Event details:
Dates: 16-17 July 2020
Venue: NIMHANS Convention Centre, Dairy Circle, Bangalore
Why you should attend:
- Network with peers and practitioners from the data ecosystem.
- Share approaches to solving expensive problems such as cleanliness of training data, annotation, model management and versioning data.
- Demo your ideas in the demo sessions.
- Join Birds of Feather (BOF) sessions to have productive discussions on focussed topics. Or, start your own Birds of Feather (BOF) session.
Contact details:
For more information about The Fifth Elephant, call +91-7676332020 or email sales@hasgeek.com
Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
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swayam mittal
@swayammittal65
Applied Data Science To Disrupt Medical Workstream
Submitted May 15, 2020
Outline/Structure of the Talk
- Enabling Nex-Gen Modern Medical operations
- Industry Use-Cases
- Deep Learning to address the problems
- Challanges and Conclusion
Learning Outcome
- Ability to apply data science for analyzing and modelling global life sciences and pharmaceutical data
- Create Intelligent and Intuitive insights from the dark data
- Develp a deeper understanding of the factors enabling intelligent automation
- Apply AI Models for Pharmacovigilance and safety monitoring
- Determine the right approach for context learning across medical data
Target Audience
AI Researcher, Data Scientists, NLP, Deep Learning, Machine Learning
Outline
Learn how Industry applies data science for analyzing and modelling global life sciences and pharmaceutical data for intelligent and intuitive insights with context learning across pre-clinical, clinical and regulatory of drugs and enables intelligent automation in Pharmacovigilance and safety monitoring using:
- Content Classification
- Content Relationship
- Content Generation
- Multi-Task Learning
- Transfer Learning
Requirements
Prerequistes for Attendees
Participants are expected to know what is AI, Machine Learning and some basics are Data Science lifecycle including modelling and evaluation
Speaker bio
Swayam is a Senior Data Scientist at Indegene’s medical technology R&D team with wide expertise in domains such as Natural language processing (text classification, sequence tagging, context learning), computer vision (object tracking, optical character recognition, image classification) and Speech Synthesis with many others using open source libraries like Tensorflow and PyTorch to solve real time problem and product development. Graduated from University of Oxford in the field of Data Science and makes robot in free time
Links
Slides
https://medium.com/datadriveninvestor/deep-learning-techniques-for-text-classification-9392ca9492c7
Comments
Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
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