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This post is based on two insightful threads I read online (References below)
Based on these, I address the question of ‘The difference between Statistics and Data Science’. Traditionally, most people, including me, would say that ‘statistics came first and Data Science builds upon statistics’. This chain of thought is valid but as you see…Continue
Which masters or PhD course should I choose for Data Science or Artificial Intelligence?
This is one of the most common questions I am asked
Here is my view – and the usual caveats apply – i.e. the viewpoint is personal and is not associated with any company or institution I am…Continue
In this post, we explore two terms which are becoming relatively common in professional machine learning applications – MLOps and DevOps
The term MLOps refers to a set of techniques and practises for data scientists to collaborate operations professionals.. MLOps aims to manage deployment of machine learning and deep learning models in large-scale production environments.
The term DevOps comes from the software…Continue
I often use this quote from Isaac Newton in my teaching.
AI is a vast and a complex subject. No matter how much you know - you realise that there is really a vast amount more to learn. So, my way of learning a subject as complex and dynamic as AI, is to share my insights. This helps me to refine my own thinking.
I also follow…Continue