Next Meetup

AI Day @ Treebo
Hosted by Treebo Hotels (, this one-day event is an exploration of various themes around cutting-edge AI and lessons learnt from productionizing them. The event is free and open to all. Agenda INTRODUCTION: - AI @ Treebo - Raghotham (Principal Data Scientist, Treebo Hotels) KEYNOTES - AI @ Ola - Goda Ramkumar (Principal Data Scientist, Ola) - Building AI-powered products - Khilan Haria (VP Products, Treebo Hotels) - Primary Data and AnecData - Genesis of a startup - Nikhil Jois (CEO, Eventosaur) LEARN - Learning and AI - Amit Kapoor (Partner, NarrativeViz Consulting) - How to get started in AI - Harish Subramanian (Director, Great Learning) CASE STUDIES - Data Science & Product Management - Abhishek Tiwari (Treebo Hotels) - Demand Forecasting - Jasjot Singh (Treebo Hotels) - Recommendations & Similarity - Ankit & Chaitanya (Treebo Hotels) - Recommendation System in Media - Rashi Kacker (Product, Impel Labs) - AI and Digital Marketing - Srishma Sunku (Data Scientist, Impel Labs) EXPLORING THEMES - Matrix factorization: Gaussian vs Poisson distribution - Sarah Masud (Data Scientist, Red Hat) - Generative Adversarial Networks: CycleGAN and TripleGAN - Mahir Jain - Image Augmentation for Deep Learning - Darshan D V DEMOS - Listen, Attend, and Walk : Interpreting natural language navigational instructions - Padmaja Bhagwat - Deep Learning on Images - Chandrika T G - Using DarkNet for real-time object detection - Sahana Maddali IOT AND AI - Deploying Deep Learning on Raspberry Pi - Harshita Gupta - IoT and Deep Learning - Bivav Raj Satyal

Treebo Hotels

AMR Tech Park, Block 1, First Floor 23 & 24,. Hosur Main Road, Bommanahalli · Bangalore


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    What we're about

    This is a series of really practical hands-on workshop to learn and start doing Data Science. We will be conducting both intro level workshops like data analytics, machine learning, data visualisation and advance level workshops on Deep Learning, Spark etc. We will be conducting these workshops in both Python and R. Workshops would be half day to two days long and would be very practical and looking to solve real life problems using multiple public/business datasets . We would have 2 to 4 instructors present during the workshop to allow for a level of individualised attention. These will be either free or nominally priced paid workshops, to ensure we have attendance from serious learners as well as to cover cost for logistics, food, marketing and trainer honorariums.

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