Videos from ODSC India 2019
No items in cart
ODSC India 2019
Models as Code Differentiable Programming with Julia
Ethical AI - Fishbowl
Data Science and the art of "Formulation"
Sequence to sequence learning with encoder-decoder neural network models
Understanding Text: An exciting journey from Probabilistic Models to Neural Networks
Making Sense of AI, ML and Data Science
Using Deep-Learning to Accurately Diagnose Your Broadband Connection
AI for CyberSecurity
Detecting Bias in AI: A Systems View & A Technique for Datasets
Speech Recognition in Bixby
Overcoming data limitations in real-world data science initiatives
Explainable Artificial Intelligence - Demystifying the Hype
Non-Stationary Time Series: Finding Relationships Between Changing Processes for Enterprise Prescriptive Systems
Image ATM - Image Classification for Everyone
Sessionisation via stochastic periods for root event identification
MidcurveNN: Encoder-Decoder Neural Network for Computing Midcurve of a Thin Polygon
Virtual Assistant for Hiring Last-Mile Workforce
Using 3D Convolutional Neural Networks with Visual Insights for Classification of Lung Nodules and Early Detection of Lung Cancer
Leveraging AI to Enhance Developer Productivity & Confidence
Deep learning powered Genomic Research
Lifting Up: How AI and Big data can contribute to anti-poverty programs
Causal data science: Answering the crucial ‘why’ in your analysis.
How GO-FOOD built a Query Semantics Engine to help you find food faster
Mastering feature selection: basics for developing your own algorithm
A Scalable Hyperparameter Optimization framework for ML workloads
Leveraging Video Analytics at United Airlines: Calculating Deplaning Times Using Deep Learning
Fantastic Indian Open Datasets and Where to Find Them
Continuous Learning Systems: Building ML systems that keep learning from their mistakes
How to lead data science teams: The 3 D's of data science leadership
Guided Analytics - Building Applications for Automated Machine Learning
Accelerating ML using Production Feature Engineering Platform
Building Your Own Data Visualization Platform
Algorithms that learn to solve tasks by watching (one) Youtube video
Building Multimodal Deep learning recommendation Systems
Real time Anomaly detection on telemetry data using neural networks
Big Data to Big Intelligence - Using AI to Generate Actionable Insights from Open Source Data
Automated Machine Learning
Data Distribution Search: Deep Reinforcement Learning To Improvise Input Datasets
Industrialized Capsule Networks for Text Analytics
Integrating Digital Twin and AI for Smarter Engineering Decisions
Breaking the language barrier: how do we quickly add multilanguage support in our AI application?
Modeling Contextual Changes In User Behaviour In Fashion e-commerce
Minimizing CPU utilization for deep networks
Practitioner's Perspective : How do you accelerate innovation and deliver faster time-to-value for your AI initiative
Data Augmentation using GAN to improve Risk Models for New Credit Card customers
Lighting up the Blackhole of the Internet using AI
Anomaly Detection for Cyber Security using Federated Learning
Continuous Data Integrity Tracking
Federated Deep Learning in SAAS Applications
AI in Education: Transforming Education using Personalised Adaptive Learning
Generation of Locality Polygons using Open Source Road Network Data and Non-Linear Multi-classification Techniques
Building Machine Learning models from scratch and Deploying in downstream Applications
Entity Co-occurence and Entity Reputation scoring from Unstructured data using Semantic Knowledge graph
You earn 30 bonus points on your first activity on every new conference.
You earn 1 point when others like your proposal.
You spend 1 point when you like others' proposal.
You spend 10 points when you propose a session.
You earn 100 points when your proposal is selected.
Encourage your Colleagues and Friends to like your proposal to increase its score.
You should consider sharing your proposal on popular Social Networks.
: Popularity of Proposals and Speakers is measured by the number of associated points.