About Vidhi Chugh

Vidhi Chugh is an award-winning AI/ML innovation leader and an AI Ethicist. She works at the intersection of data science, product, and research to deliver business value and insights. She is an advocate for data-centric science and a leading expert in data governance with a vision to build trustworthy AI solutions.

Vidhi Chugh Posts (11)

• The “Hello World” of Tensorflow - 13 May 2022
  
  In this article, we will build a beginner-friendly machine learning model using TensorFlow.
• Everything You Need to Know About Tensors - 06 May 2022
  
  In this article, we will cover the basics of the tensors.
• Top 5 Reasons Why You Should Avoid a Data Science Career - 12 Apr 2022
  
  The intent of this article is to give you a reality check of what are the personality traits of a typical data scientist before you dip your feet in the ocean of the big shiny world of data science.
• 4 Factors to Identify Machine Learning Solvable Problems - 06 Apr 2022
  
  The near future holds incredible possibility for machine learning to solve real world problems. But we need to be be able to determine which problems are solvable by ML and which are not.
• A Bug That Can Make You a Data Science Hero - 31 Mar 2022
  
  What if I tell you that there is a bug that can take you on a ride in the world of data science. Yes, if you have the bug of curiosity, consider yourself the best fit for the data science profession.
• Risk Management Framework for AI/ML Models - 23 Mar 2022
  
  How sound risk management acts as a catalyst to building successful AI/ML models.
• The Significance of Data Quality in Making a Successful Machine Learning Model - 10 Mar 2022
  
  Good quality data becomes imperative and a basic building block of an ML pipeline. The ML model can only be as good as its training data.
• The Significance of Data-centric AI - 27 Aug 2021
  
  How a systematic way of maintaining data quality can do wonders to your model performance.
• What I Learned From “Women in Data Science” Conferences - 17 Aug 2021
  
  Read the author's perspective after attending 3 "Women in Data Science" conferences.
• Towards a Responsible and Ethical AI - 30 Jul 2021
  
  It is not the technology at fault, but the intention.