Explaining AI from a Life cycle of data
Background When I was teaching a session on AI at an MBA program at the London School of Economics, I thought of explaining AI from… Read More »Explaining AI from a Life cycle of data
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.
Background When I was teaching a session on AI at an MBA program at the London School of Economics, I thought of explaining AI from… Read More »Explaining AI from a Life cycle of data
Background One of the hardest problem in AI is not technical It is social Specifically, it is the problem of “educating people for living and… Read More »Educating for AI – one of the most critical problems in AI
AI and patents – trends to watch from the WIPO technology trends report WIPO Technology Trends report 2019 came as a surprise to me. We… Read More »AI and patents – trends to watch from the WIPO technology trends report
Introduction I spoke at the iot expo on AI and smart cities in London this week Smart cities have been around for more than a… Read More »Can we fix Smart City deployments using AI, Cloud and Video?
The Digital Shopfloor: Industrial Automation in the Industry 4.0 Era looks like a great free open access book by John Soldatos, Oscar Lazaro and Franco… Read More »Free open access book on Industry 4.0, factory automation and Edge
Introduction This blog is a part of the learn machine learning coding basics in a weekend . We recommend the book Python Data Science Handbook… Read More »Python machine learning libraries
image source – wikipedia Update Hello all, The first book is posted on data science central here, and the community group is here. Please join the… Read More »Learn #MachineLearning Coding Basics in a weekend – a new approach to coding for #AI
After a recent webinar, I was asked about advice for getting a job in AI for a fresh graduate This is a good question and… Read More »Advice to a fresh graduate for getting a job in AI/ Data Science
Note: This is a long post, but I kept it as a single post to maintain continuity of the thought flow In this longish post,… Read More »The Mathematics of Data Science: Understanding the foundations of Deep Learning through Linear Regression
Geoffrey Hinton dismissed the need for explainable AI. A range of experts have explained why he is wrong. I actually tend to agree with… Read More »Why I agree with Geoff Hinton: I believe that Explainable AI is over-hyped by media