About this Masterclass

Machine Learning and Artificial Intelligence are new technologies that have taken the industry by storm. From A.I. chatbots to customer assistance tools, the application of Data Science in daily life is on the rise. But how are these A.I. systems built and how do they recommend things you are searching for or might want to watch next?

One of the most fascinating aspects of Machine Learning is exploring the latent patterns, cluttered data and algorithms. For this Live Data Science project, we will dig deeper into the workflow of YouTube’s recommendation engine. 

If you are as excited about this as our instructor Srikanth Varma Chekuri, register for this FREE Masterclass and get ready to explore YouTube’s recommendation system on 10th January, Tuesday at 8 PM! 

What You Will Learn From This Session

• Learn to build a first-cut solution for the problem using simple maths
• Finding similar videos using data matrix
• Learn how to recommend based on similarity scores
• Understand Eigen values and Eigen vector-based approach
• Understand Deployment and Productionisation

Meet Srikanth Varma Chekuri (LinkedIn)

• Co-Founder & Principal Instructor, Applied AI & AppliedRoots
• Senior ML Scientist @ Amazon, Palo Alto and Bangalore
• Co-Founder, Matherix Labs
• Research Engineer, Yahoo! Labs
• Masters from IISc Bangalore, Gate 2007(AIR 2)
• 13 years of experience in AI and Machine Learning
  
  
  

About Scaler Data Science

Many professionals (like us!) enter the field of Data Science by working on toy data sets and have no real-world knowledge of using real data. We are exposed to ‘old’ teaching methods and are taught to ‘cram’ content. When they start working in the industry, they fail to catch up on the skills that the industry needs because they never learnt the real-world application of using messy data and thus, end up lagging behind their peers. This leads to a loss of confidence and stops them from accelerating their career. This is where Scaler Data Science solves the problems!

Scaler Data Science is a tailor-made program to master the foundations of Data Science and Machine Learning and to take their career to the next level, via:

• A structured, guided, and industry vetted curriculum
• Live classes by faculty who have been there, done that
• Regular 1:1 mentorship from industry veterans
• Practical experience through real-life projects
• Career support via a dedicated recruitment team, alumni network, etc.
• Aspirational peer group of 3,500+ Scaler students & alumni