Browsing Tag

Machine Learning

ai, AI & Applications, AI/ML, artificial intelligence, Machine Learning September 24, 2021

Artificial Intelligence (AI) Myths

Will AI replace jobs? Can we swap AI and ML? Can we deploy AI without a plan? Let’s find out. 

Artificial intelligence (AI) is creating more myths, fears, and skepticism in many minds than what is corroborated by actual events and facts. So, shall we swim deep into these waters and face our fears in the eye? To do that, we have to deconstruct some myths. 

Digital Health September 1, 2021

Prepare for the Future of Healthcare

Prof. Jaya Prakash and Prof. Ambedkar Dukkipati shared the details of IISc and TalentSprint’s Programme in Digital Health and discussed how this unique programme can help professionals and entrepreneurs build relevant expertise to shape their careers in the rapidly growing Digital Health market.

AI/ML August 16, 2021

The Present and Future of Data Science and Machine Learning

There is now an overwhelming demand for industry-ready Data Science professionals who can lead digital transformation journeys. In a recent webinar, Dr. Chiranjiv Roy, Senior Vice President and Practice Head of Data Analytics at SG Analytics, shared his views on how professionals can train and tap into such opportunities. 

AI/ML, Machine Learning May 27, 2021

Why and How to Use Capstone Projects in Machine Learning (ML) for Enhanced Learning

If you are reading this, chances are that you are at a significant point in your career. You are one among the distinct group of professionals, who are already expecting significant disruptions in businesses because of the rapid adoption of emerging technologies. You know how important it is to upgrade yourself to adapt and shape your career in a technology-dominated world. 

AI/ML May 24, 2021

Learning AI/ML: Does the Institute Really Matter?

Artificial Intelligence (AI)/Machine Learning (ML) has reached a tipping point in the last two-three years. While the conceptual work on these areas may have started many years back, these technologies’ commercial and application dimensions have manifested in a big way only recently. No wonder there is so much interest in this field.