About this Masterclass

Before you make a choice between Artificial Intelligence, Machine Learning or Data Science, you must have a deep understanding of how these disciplines are different. What distinct skills would you need to excel in each one of them? Here’s a simple difference. Artificial Intelligence is used for building flexible intelligence.Machine Learning is used for decision making.Data Science is used for managing, processing & analyzing big data. Join Ajay Shenoy on 5 Jan, Thursday at 7 PM in an exclusive Masterclass to dive deeper into the world of Data Science, Machine Learning and Artificial Intelligence. Clear all your doubts with our expert and pick  the right career for you.

What You Will Learn From This Session

• Difference between Artificial Intelligence, Machine Learning, and Data Science and their deep understanding
• Choose the right discipline for your needs and career
• Different roles and their requirements in AI, ML and DS
• How to know which discipline suits your career better

Meet Ajay Shenoy (LinkedIn)

• Lead Data Scientist and Instructor, Scaler
• Ex-Lead AI Scientist, Target
• Ex- AI Scientist, AlphaCs Corporation
  
  
  

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