Feb 11–13, 2021 · Virtual, Online
MLDS 2021 agenda
Every session from MLDS 2021 (online edition): 47 sessions across 3 days, with times and speakers.
Feb 11–13, 2021 · Virtual, Online
All 47 sessions
- Days
- 3
- Sessions
- 47
- Excluding breaks
- Hall
- 1
- Speakers with a profile
- 58
47 sessions across 3 days.
Day 1 Thursday 11 February 2021
to 09:40
Hall 1Talk40 min
Overview of Machine Learning in Risk Management
to 10:25
Hall 1Talk40 min
The Interplay between Quantum Theory and Artificial Intelligence
to 11:10
Hall 1Talk40 min
Making up for missing data for AI in healthcare
to 11:55
Hall 1Talk40 min
Discovery of a customer journey and uncovering the potential purpose of a shopping visit.
to 12:40
Hall 1Talk40 min
Elementary, my dear ML
to 13:25
Hall 1Talk40 min
Claims AI: Reimaging Auto Claims Process using Computer Vision for Vehicle Damage Assessment
to 14:10
Hall 1Talk40 min
Use of AI/ML in Airlines Industry
to 14:55
Hall 1Talk40 min
ML Fairness & How to mitigate biases using TensorFlow
to 16:25
Hall 1Talk40 min
ML-powered Digital Twin Streamlines Predictive Equipment Maintenance
to 17:10
Hall 1Talk40 min
Custom recommendation engines for real world problems
to 17:55
Hall 1Talk40 min
Unification and transformation of customer experience and targeting
to 18:40
Hall 1Talk40 min
Adversarial Insights & Adversarial Examples
to 19:25
Hall 1Talk40 min
Paradoxes and Unexpected Counter-Intuition in Business Analytics and Mathematics
to 20:10
Hall 1Talk40 min
Building and Managing Advanced Analytics & AI Teams
Day 2 Friday 12 February 2021
to 09:40
Hall 1Talk40 min
Effective EDA & data visualisation
to 09:40
Hall 1Paper20 min
Classification of Weed Species Using Deep Learning
to 10:05
Hall 1Paper20 min
Machine learning approach to predict patient position for preventing bedsores
to 10:25
Hall 1Talk40 min
Transforming Patient Pharmacy Experience
to 10:30
Hall 1Paper20 min
Pneumothorax Detection and Classification on Chest Radiographs using Artificial Intelligence
to 11:10
Hall 1Talk40 min
Building Smart and resilient operations by leveraging data driven operating model to sustain business growth
to 10:55
Hall 1Paper20 min
Predicting demand offset to react to unforeseen critical events
to 11:20
Hall 1Paper20 min
ML based high-cardinality reduction methods to create geo-score to improve auto insurance Tweedie pricing model
to 11:45
Hall 1Paper20 min
Telecom Churn and Valued Customer Retention
to 12:20
Hall 1Paper20 min
Solution Approach to Resolve Vehicle Routing Problem using Deep Reinforcement Learning
to 12:40
Hall 1Talk40 min
AI in Orthopedics: A discussion on a few solved and unsolved problems.
to 12:45
Hall 1Paper20 min
Optimizing Cost per Click for Digital Advertising Campaigns
to 13:25
Hall 1Talk40 min
Deploy Machine Learning Models on Streamlit - Web-Based Application like a pro
to 13:10
Hall 1Paper20 min
Modified Count Difference Feature Selection Method for Text Classification
to 13:35
Hall 1Paper20 min
Unsupervised Theme Identification and Duplication Removal
to 14:00
Hall 1Talk30 min
Deep Learning for Semantic Text Matching
to 14:00
Hall 1Paper20 min
Real-time social distancing & face mask compliance reporting system for multiple CCTV camera feeds
to 14:30
Hall 1Talk30 min
MLE for Inverse problem of SEIR for COVID-19 for world
to 14:25
Hall 1Paper20 min
Efficient and Optimal Deep Learning Inference for Computer Vision Applications
to 16:00
Hall 1Awards1 h 30 min
40 under 40 Data Scientists Awards
to 15:15
Hall 1Talk40 min
Building a product using ML and AI
to 16:00
Hall 1Talk40 min
Fintech as a customer and recruiter for DS
to 16:25
Hall 1Paper20 min
A Noninvasive model to detect Dengue based on symptoms using Artificial Intelligence and Machine Learning
to 18:00
Hall 1Workshop1 h 55 min
Machine learning gone wrong: Common mistakes and challenges in bringing ML into production
to 16:50
Hall 1Paper20 min
PyTorch Tabular: A Framework for Deep Learning with Tabular Data
to 17:15
Hall 1Paper20 min
Product Based Store Clustering and Range Recommendation
to 17:40
Hall 1Paper20 min
Predicting missing product taxonomy in retail: An embedded approach using N-gram Mixture Models and Newton’s Method
to 18:05
Hall 1Paper20 min
Classification of different plant leaf diseases using multiple convolutional neural network and image pre-processing
Day 3 Saturday 13 February 2021
to 10:55
Hall 1Workshop1 h 55 min
Demystifying Hyperparameter Tuning for ML Models
to 12:55
Hall 1Workshop1 h 55 min
TensorFlow2 Crash Course / Essentials
to 15:55
Hall 1Workshop1 h 55 min
Optimization : The Last Mile
to 17:55
Hall 1Workshop1 h 55 min
AI in healthcare: Use cases in radiograph
to 19:55
Hall 1Workshop1 h 55 min
Workshop on “Video Action Recognition (VAR)” using Deep Learning
Agenda archive
Sessions per edition
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