Anthill Inside For members

Anthill Inside 2019

A conference on AI and Deep Learning

Make a submission

Accepting submissions till 01 Nov 2019, 04:20 PM

Taj M G Road, Bangalore, Bangalore

Tickets

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##About the 2019 edition:

The schedule for the 2019 edition is published here: https://hasgeek.com/anthillinside/2019/schedule

The conference has three tracks:

  1. Talks in the main conference hall track
  2. Poster sessions featuring novel ideas and projects in the poster session track
  3. Birds of Feather (BOF) sessions for practitioners who want to use the Anthill Inside forum to discuss:
  • Myths and realities of labelling datasets for Deep Learning.
  • Practical experience with using Knowledge Graphs for different use cases.
  • Interpretability and its application in different contexts; challenges with GDPR and intepreting datasets.
  • Pros and cons of using custom and open source tooling for AI/DL/ML.

#Who should attend Anthill Inside:

Anthill Inside is a platform for:

  1. Data scientists
  2. AI, DL and ML engineers
  3. Cloud providers
  4. Companies which make tooling for AI, ML and Deep Learning
  5. Companies working with NLP and Computer Vision who want to share their work and learnings with the community

For inquiries about tickets and sponsorships, call Anthill Inside on 7676332020 or write to sales@hasgeek.com


#Sponsors:

Sponsorship slots for Anthill Inside 2019 are open. Click here to view the sponsorship deck.


Anthill Inside 2019 sponsors:


#Bronze Sponsor

iMerit Impetus

#Community Sponsor

GO-JEK iPropal
LightSpeed Semantics3
Google Tact.AI
Amex

Hosted by

Anthill Inside is a forum for conversations about Artificial Intelligence and Deep Learning, including: Tools Techniques Approaches for integrating AI and Deep Learning in products and businesses. Engineering for AI. more

Aakash N S

@aakashns

Essential Python Recipes for Deep Learning

Submitted Feb 26, 2019

This coding-focused talk offers some practical tips and advice that can help beginners be more efficient, organized and productive while working on deep learning projects and participating in data science competitions. The topics covered include working with the file system, effecting processing CSV files, doing exploratory data analysis, creating a baseline model for evaluation, and easily working with image data.

Outline

  1. How to work with the filesystem
  2. How to work with CSV files
  3. How to do exploratory data analysis (EDA)
  4. How to create a baseline model for evaluation
  5. How to display images in a grid
  6. How to create a Kaggle submission file

Requirements

  1. Basic knowledge of Python programming
  2. Basic knowledge of Machine Learning and Kaggle

Speaker bio

I’m the co-founder and CEO of swiftace.ai , an early stage startup building productivity and collaboration tools for machine learning. Our team has won 8 data science competitions and hackathons in India in the past 2 years. Prior to starting SwiftAce, I have worked as software engineer at Twitter in Ireland & San Francisco. He graduated from IIT Bombay in 2013. He’s also an avid blogger and open source contributor.

Slides

https://jvn.io/aakashns/1ca340cffc8446bd875b6bd1001077de

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Make a submission

Accepting submissions till 01 Nov 2019, 04:20 PM

Taj M G Road, Bangalore, Bangalore

Hosted by

Anthill Inside is a forum for conversations about Artificial Intelligence and Deep Learning, including: Tools Techniques Approaches for integrating AI and Deep Learning in products and businesses. Engineering for AI. more