Machine Learning Webinar: Understand The Fundamentals Of Building ML Applications

Enterprises are increasingly relying on machine learning to develop mission-critical applications to power their businesses. However, there are a series of challenges one has to tackle in the machine learning application building lifecycle — right from combining multiple data sources to feature engineering which means finding the right parameters to extract from the data for model building. So, what’s the best approach to AI/ML applications and how does one identify the data sources to build models. With demand for machine learning increasing, it’s up to the data scientists and developers to stay updated with the latest trends to get the best performance out of their applications.

With machine learning becoming a critical enabler for every sector, this webinar is specifically aimed at machine learning engineers and data scientists to help them understand the fundamental concepts of ML and help them leverage cloud machine learning tools. During the webinar, participants will learn how to select an algorithm, build a ML model and deploy it effectively, without diving too deep into the mathematical concepts of the model.

Great Learning presents a webinar on Introduction to Machine Learning by Dr Kumar Muthuraman,Faculty Director, Center for Research and Analytics, University of Texas at Austin who will take the participants through the following areas:

Subscribe to our Newsletter

Join our editors every weekday evening as they steer you through the most significant news of the day, introduce you to fresh perspectives, and provide unexpected moments of joy
Your newsletter subscriptions are subject to AIM Privacy Policy and Terms and Conditions.
  1. Introduction to Machine Learning
  2. How Machine Learning is changing the world around us
  3. Case study on how Machine Learning is used to solve a business problem
  4. Q&A with the speakers

Who Should Attend:

  1. Data Scientists who wish to speed up and work on machine learning use cases
  2. Software Engineers and machine learning enthusiasts who want to gain deeper insights into machine learning frameworks
  3. ML Engineers and enthusiasts who want to understand the machine learning application development lifecycle
  4. Industry members who want to learn how to leverage ML to meet business objectives  

The webinar is presented by Dr. Kumar, who is the H. Timothy (Tim) Harkins Centennial Professor in the Department of Information, Risk and Operations Management and the Department of Finance at McCombs School of Business, University of Texas at Austin.
Dr Kumar received his Ph.D. from Stanford University and his research focuses on decision making under uncertainty. Application areas of interest to him are quantitative finance, operations management and health care

When: March 17 at 11 am

To register click here


Richa Bhatia
Richa Bhatia is a seasoned journalist with six-years experience in reportage and news coverage and has had stints at Times of India and The Indian Express. She is an avid reader, mum to a feisty two-year-old and loves writing about the next-gen technology that is shaping our world.

Download our Mobile App

MachineHack | AI Hackathons, Coding & Learning

Host Hackathons & Recruit Great Data Talent!

AIMResearch Pioneering advanced AI market research

With a decade of experience under our belt, we are transforming how businesses use AI & data-driven insights to succeed.

The Gold Standard for Recognizing Excellence in Data Science and Tech Workplaces

With Best Firm Certification, you can effortlessly delve into the minds of your employees, unveil invaluable perspectives, and gain distinguished acclaim for fostering an exceptional company culture.

AIM Leaders Council

World’s Biggest Community Exclusively For Senior Executives In Data Science And Analytics.

3 Ways to Join our Community

Telegram group

Discover special offers, top stories, upcoming events, and more.

Discord Server

Stay Connected with a larger ecosystem of data science and ML Professionals

Subscribe to our Daily newsletter

Get our daily awesome stories & videos in your inbox