[BangPypers] [BangPyper][Commercial] Last Day To Avail 33% Discount on DHS2019 Tickets (India's Largest Conference On AI & ML)

Deepika Singhal deepika at analyticsvidhya.com
Mon Sep 30 09:37:27 EDT 2019


Dear BangPypers,

This November, Analytics Vidhya is conducting *DataHack Summit 2019*
<https://www.analyticsvidhya.com/datahack-summit-2019/?utm_source=pythoncommunity>
*:* *India's Largest Conference on Applied Artificial Intelligence &
Machine Learning**.* This is a once in a lifetime opportunity for all
data science
professionals to interact with the world's most distinguished
influencers, attend
live hack sessions & stimulating workshops and gain ultimate learning.  *Are
you ready to unleash the era of SuperAI ?*

*4 Days | 1000+ Attendees | 100+ Speakers | 70+ Talks | 8+ Workshops*

*Dates & Venue:* 13-16 November 2019, NIMHANS Convention Center, Bengaluru

*[Important] Last day to book your tickets at regular discount (~ 33% OFF):*
 *Book your conference & workshop tickets today.
<https://www.analyticsvidhya.com/datahack-summit-2019/?utm_source=pythoncommunity>*
<https://www.analyticsvidhya.com/datahack-summit-2018/?utm_source=bangpyper>


*Highlights Of DataHack Summit 2019*


   1. *Focus areas:* Artificial Intelligence, Machine Learning, Deep
   Learning, Reinforcement Learning, Quantum Computing, NLP and more.

   2. *Key speakers:* Pavel Pleskov (Kaggle Rank #2) , Xander Steenbrugge
   (ML6), Dat Tran (Head of AI at Axel Springer IE), Sayan Ranu (Asst. Prof -
   IITD) , Dr. Vikas Agrawal, Dipanjan Sarkar, Sudalai Rajkumar and more
   <https://www.analyticsvidhya.com/datahack-summit-2019/speakers/?utm_source=pythoncommunity>
   ...

   3. *World-class AI practitioners,* AI thought leaders, IOT experts,
   chief data scientists, data officers, researchers, machine learning
   engineers, technology evangelists, & data hackers will come together to
   tackle the toughest data-challenging issues of global organizations.

*30+ Live Hack Sessions at the Conference: *

   1. Hack Session: Image ATM – Image Classification for Everyone
   2. Hack Session: Content Based Recommender System using Transfer Learning
   3. Hack Session: Machine Learning in Portfolio Management
   4. Hack Session: Applying Deep Transfer Learning for NLP
   5. Hack Session: Reinforcement Learning in Real-World Scenarios and 30+
   more
   <https://www.analyticsvidhya.com/datahack-summit-2019/hack-day/?utm_source=pythoncommunity>
   ..

*If you wish to attend one of our workshops at DHS2019
<https://youtu.be/zq_PkpQ-4zs> on Day 4, check out the workshops below and
book your tickets:*

*8+ Hands-On Workshops:*

   - Applied Machine Learning
   <https://www.analyticsvidhya.com/datahack-summit-2019/workshop/machine-learning-for-beginners/?utm_source=pythoncommunity>
by
   Dipanjan Sarkar
   - Applied NLP
   <https://www.analyticsvidhya.com/datahack-summit-2019/workshop/natural-language-processing-for-beginners/?utm_source=pythoncommunity>
by
   Sudalai Rajkumar
   - Deep Learning Using Keras
   <https://www.analyticsvidhya.com/datahack-summit-2019/workshop/deep-learning-for-beginners/?utm_source=pythoncommunity>
by
   Xander Steenbrugge
   - Building Scalable Recommendation Systems
   <https://www.analyticsvidhya.com/datahack-summit-2019/workshop/building-scalable-recommendation-systems/?utm_source=pythoncommunity>
by
   Anand Mishra
   - Time Series Forecasting
   <https://www.analyticsvidhya.com/datahack-summit-2019/workshop/time-series-forecasting/?utm_source=pythoncommunity>
 by
   Rohan Rao
   - Build Your Own AI Chatbot
   <https://www.analyticsvidhya.com/datahack-summit-2019/workshop/build-your-own-ai-chatbot/?utm_source=pythoncommunity>
by
   Yogesh Kulkarni

View all workshops here.
<https://www.analyticsvidhya.com/datahack-summit-2019/workshops/?utm_source=pythoncommunity>


Do not miss out on this wonderful learning & networking opportunity. *Book
your tickets before regular discount (~33% OFF) ends tomorrow:**
https://www.analyticsvidhya.com/datahack-summit-2019/
<https://www.analyticsvidhya.com/datahack-summit-2019/?utm_source=pythoncommunity>*


Thanks
--
*Deepika Singhal*

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