Description:

Have you ever wondered how machines learn to translate languages, recognize faces, or generate realistic text? Almost all the breakthroughs in the past decade in machine learning have been on the back of Deep learning. Pytorch is unarguably the best framework for training and deploying Deep learning models.

We believe in Jeremy Howard’s philosophy of deep learning for software engineers - take a practical, hands-on approach starting with real-world applications and intuitive understanding. Later delve into the math when you start having fun with it.

This talk cuts through the jargon and reveals how YOU can leverage PyTorch, even with a basic Python background. We'll explore Deep Learning fundamentals using gradient descent with a fun, hands-on example where we try to predict whether a talk will get selected for Pycon!!

• Understand the core concepts of Deep Learning
• Master gradient descent, the workhorse of neural network training
• Leverage PyTorch's intuitive API to build and train your models
• Unlock the potential of Deep Learning for your projects

Outline:

• Introduction to Deep Learning: Unveiling the Secret Sauce behind AI Advancements (5 mins)
• Gradient Descent Explained: A hands-on example for beginners (5 mins)
• Enter PyTorch: Automating the magic of gradient descent (10 mins)
• Building & Training Your First Model with PyTorch (5 mins)
• Q&A(5 min)

Why You Should Attend:

Whether you're a curious Python developer, an aspiring data scientist, or simply fascinated by AI, this talk empowers you to take the first step into the exciting world of Deep Learning with PyTorch. Get ready to unleash the power of neural networks and unlock a world of possibilities!

Prerequisites:

Ony Python

Video URL:

https://drive.google.com/drive/folders/1CXHJLazxbqsdeeH8yXesQB-518FnpKkd?usp=drive_link

Content URLs:

We will be presenting using a collab notebook

https://colab.research.google.com/drive/19_QVh2-ThFaMadMinLb3D843BI8uEH49?usp=sharing

Speaker Info:

Dhruv Nigam

Dhruv is a machine learning engineer who loves to build and deploy models at scale using Python. At Dream11, he leverage uplift modeling, reinforcement learning, and supervised learning to create action systems that enhance the user experience for over 100 million users. Before Dream11, Dhruv was a Director and founding Data scientist at Protium. He was key in scaling data science infrastructure from scratch to serve over 500k customers at Protium. He established core data engineering pipelines, data models, and deployment frameworks (GitLab CI/CD, Fast API, EC2, MlFlow) for machine learning models. He has spoken at various prestigious venues including a sponsor talk at CODS COMAD 2024. He has a bachelors and Masters in Electrical Engineering from IIT Bombay.

Ved Prakash

Ved is a skilled ML engineer with 9+ years of experience in conceptualizing and deploying large-scale machine learning and deep learning solutions. At Dream11, he has been a key player in reengineering the core contest generation engine. He is currently engaged in building state-of-the-art deep learning models tailored for tabular data domains. Before joining Dream11, Ved led the search and personalization initiatives at Paytm, where he built and deployed cutting-edge real-time machine learning solutions.

Speaker Links:

Dhruv

• Linkedin - www.linkedin.com/in/dhruv-nigam-52531176.

• Github - https://github.com/dhruvnigam93.

• Twitter - https://twitter.com/druubeey.

• Talk on credit risk modeling organized by Databuzz and DPhi - https://www.youtube.com/live/4acAw17khkY?si=vD-83gcY99CehXis.

Ved

• https://github.com/ved93.

• https://www.linkedin.com/in/vedthedataguy/.

• Talk on real time ML- challenges and solutions - https://www.youtube.com/watch?v=DD5f-Gz1890.