DataHour: Real-time Machine Learning - Challenges and Solution

DataHour Recording

Find the resources used in the DataHour HERE.

About the DataHour:

Real-time machine learning is the approach of using real-time data to generate more accurate predictions and adapt models to changing environments. This creates so many challenges as we need to do this at low latency. 

In this DataHour, Ved will discuss the various challenges faced because of this approach and how we can solve them. 

Prerequisites: Basic understanding of machine learning and interest in learning Data Science.

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Speaker:

Ved Prakash

Senior MLE at Dream 11

Ved is an experienced Machine Learning Engineer with 7 years of experience in envisioning and deploying ML-powered products in the e-commerce and financial industry at scale. Highly skilled in solving ambiguous customer problems using ML algorithms. He has built ML frameworks and libraries to improve the productivity of the data science teams.

Connect with Ved on Linkedin and Twitter.