Many thanks for the retweets and feedback on Part one of this blog A methodology for solving problems with DataScience for Internet of… Here is… Read More »A methodology for solving problems with DataScience for Internet of Things – Part Two
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.
Insights and Omissions from Dresner Advisory Services’ 2016 The Internet of Things and Business Intelligence Market Study
Background Dresner advisory services has published a report on IoT business models. This report covers IoT, Big Data and Analytics. I have been focussing on… Read More »Insights and Omissions from Dresner Advisory Services’ 2016 The Internet of Things and Business Intelligence Market Study
Here is a tutorial I have created (foundations of machine learning and data science for developers) It is based on my insights from the Enterprise AI… Read More »Tutorial – foundations of machine learning and data science for developers
What is the best way for getting started in Statistics for Programmers/Data Science? I am often asked this question: What’s the best way for getting… Read More »What's the best way to get started in Statistics for Programmers/Data Science?