Anthill Inside 2018

What you cannot do with Machine Learning

Harsh Gupta, engineer at Nilenso

Looking beyond LSTM’s: alternatives to time series modelling using neural nets

Aditya Patel, head of data science at Stasis

Neural-network field aware factorisation machines for online-behaviour prediction

Gunjan Sharma, InMobi

Product Size Recommendation for Fashion E-commerce

Lavanya Tekumalla, Machine Learning Scientist

The evolution in AI thinking and products of the next decade

Shailesh Kumar, Chief Data Scientist, CoE AI/ML at Jio

Sarcasm detection: Achilles heel of sentiment analysis

Anuj Gupta, Director of Machine Learning at Huawei

Deep learning in the browser: explorable explanations, model inference and rapid prototyping

Amit Kapoor, NarrativeViz

Going beyond what and asking why: explainability in Machine/Deep Learning

Vineeth N Balasubramanian, Associate Professor at IIT Hyderabad

Learning Real-time Object Detection In The Absence of Large-scale Datasets

Vijay Gabale, CTO and co-founder of Infilect Technologies

Building knowledgeable machines

Prof. Partha Talukdar, Department of Computational and Data Sciences (CDS), IISc

Uncertainty in deep learning

Madhu Gopinathan, Vice President, Data Science at MakeMyTrip

Building and driving adoption for a robust semantic search system

Hrishikesh Ganu, Intuit

Advice on Applying Machine Learning: War Stories et al.

Sumod Mohan, Founder, AutoInfer

The sentimental computer: art and science of making computers understand sentiment and emotion

Prof. Pushpak Bhattacharyya, Director of IIT Patna