Based in London, Ajit's work spans research, entrepreneurship, and academia relating to artificial intelligence (AI) with Cyber-Physical systems. He is the course director of the course: Artificial Intelligence: Cloud and Edge Implementations at the University of Oxford. He is also a visiting fellow in Engineering Sciences at the University of Oxford. Besides this, he also conducts the University of Oxford courses: Digital Twins, Cybseecurity, and Agtech. Ajit works as a Data Scientist through his company, feynlabs - focusing on building innovative early-stage AI prototypes for complex AI applications. Besides the University of Oxford, Ajit has also conducted AI courses at the London School of Economics (LSE), Universidad Politécnica de Madrid (UPM), and as part of The Future Society at the Harvard Kennedy School of Government.
Here is another resource I use for teaching my students at AI for Edge computing course. I like this resource because I like the cookbook… Read More »Data science cookbook style code reference in Python for beginners
You can always learn a lot from the papers presented at NeurIPS There is some good analysis already on the web. From Chip Huygen –… Read More »NeurIPS 2019 – analysis of papers by themes
AI and the future of work is a major topic of discussion Most views on this subject are negative More broadly, the negative impact… Read More »AI and the future of work: Will Artificial Intelligence make us all into Polymaths in the future?
Academia and industry take different approaches to building machine learning and deep learning models Here are seven differences 1) Approach to accuracy: When you are… Read More »Seven differences between academia and industry for building machine learning and deep learning models
How to know which AI/ ML algorithm to apply to which business problem? This is a common question I found a good reference for… Read More »Rule of thumb: Which AI / ML algorithms to apply to business problems
Digital transformation is getting some traction now. There are many definitions of digital transformation. For example, according to salesforce digital transformation is – Digital… Read More »How to implement Digital Transformation in an Enterprise using artificial intelligence?
Artificial Intelligence – Cloud and Edge implementations takes an engineering-led approach for the deployment of AI to Edge devices within the framework of the cloud.… Read More »Artificial Intelligence on Edge devices: an engineering led approach
For background to this post, please see Learn #MachineLearning Coding Basics in a weekend. Here,we present the glossary that we use for the coding and the… Read More »Learn #MachineLearning Coding Basics in a weekend – Glossary and Mindmap
This post is part of my forthcoming book The Mathematical Foundations of Data Science. Probability is one of the foundations of machine learning (along with… Read More »Understanding the applications of Probability in Machine Learning
Currently, Cloudera is in the news for all the wrong reasons(Cloudera stock down 42%) Since Cloudera now also incorporates Hortonworks – the current issues are… Read More »Seduced by the Big Data meme: Hadoop vs the Public Cloud
