Have you ever participated in data science competition and wondered what does it take to become a master? Have you struggled to improve your model beyond a particular score? Or you wonder what goes in the minds of top data scientist – this workshop is what you are looking for. This is a highly interactive experience with data science masters & top data scientists. The goal of this workshop is to provide a forum for exchanging ideas and new approaches to become masters of data science challenges. Through this workshop, the top data scientists from India will share how they approach data science competitions.
Here is a list of topics covered in the workshop: The MasterClass : How To Win Data Science Challenges?
Sudalai Rajkumar (aka SRK) is a Data Scientist at H2O.ai. He takes part in various data science competitions to enhance his knowledge and has won several of them. He is one of the top 30 data scientists in the world in Kaggle. He is rank #1 on Analytics Vidhya and is one of the top solver in CrowdAnalytix platform too.
In the last few years, there has been a tremendous growth in the data generated by humans, specifically in terms of images or videos. This kind of data is represented as bits and blobs, which is harder to explain to a machine. On the other hand, the applications we can build using this data is substantial – whether it be to parse scenes for a self-driving car, or build robotic machines for industry.
This workshop is meant to give you a taste of how to leverage image data and build innovative real life products, specifically using state-of-the-art techniques – aka Deep Learning. For the workshop, we will be using PyTorch, which is an up-and-coming framework to build Deep Learning models. PyTorch is a python based library built to provide flexibility as a deep learning development platform. The workflow of PyTorch is as close as you can get to python’s scientific computing library – numpy. Since its release in the start of January 2016, many researchers and Deep Learning practitioners have adopted it as a go-to library because of its ease of use for building novel and even extremely complex neural network architectures.
Check out the structure of the workshop here : Computer Vision Using Pytorch
Phani Srikanth (a.k.a binga) works with the data science team at Reliance Jio where he overlooks all things related to data. From Product Analytics that help improve the product by collaborating with several teams to building Machine Learning solutions, he’s a part of JioMoney’s data initiatives. Prior to joining Jio, he worked as a Data Scientist at Housing.com. He has also been an active member on Kaggle and is among the top-10 members on AV’s leaderboard.
Supreeth (a.k.a ‘ziron’) is currently working as a Data Scientist in the lending business at Ola, solving machine learning problems for the organisation. Previously, he worked on various problems across banking industry with the Innovation team at Society Generale GSC. Apart from work, he is an active participant and won several competitions including #2 in AV Datafest 2017
Wondering how to use machine learning at large scale? Join this curated workshop by our data science experts who will introduce Apache Spark to process a large amount of data and build different machine learning models using MLLib. This workshop goes beyond building your expertise in applying different machine learning algorithms on huge data using MLLib. It focuses on how machine learning algorithms can be applied at scale to work on petabytes of data, to generate models used for predictions.
Here is the structure of the workshop : Machine Learning at Scale Using SparkML for Big Data
Rohan Rao (a.k.a. ‘vopani’) currently works as a Senior Data Scientist at Paytm, building machine learning solutions for the organization. Prior to this, he has worked with multiple startups in the machine learning space across various industries, platforms and products.He is a regular participant of hackathons and competitions, having won on several occasions, including the AV DataFest in April-2017, which ranks him #2 on the AV Leaderboard. He’s a Kaggle Grandmaster and ranks among the top-100 Kagglers in the world.Apart from Data Science, he’s a 11-time National Champion in Sudoku and Puzzles, having represented India at the World Championships last 9 years.
Make sure you don’t miss this advanced workshop on SparkML for Big Data!