A free open-source book to get started with 5G
5G is critical to many business applications. Below is a great free opensource book to get started with 5G. But first, here are five reasons… Read More »A free open-source book to get started with 5G
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ajitjaokar
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.
Advantages and Disadvantages of Automated Machine Learning
The title of this blog is accurate There are indeed some caveats / disadvantages to automated machine learning. This blog was motivated by a question… Read More »Advantages and Disadvantages of Automated Machine Learning
A simple way to understand the statistical foundations of data science
Introduction There are six broad questions which can be answered in data analysis according to an article called “What is the question?” By Jeffery T.… Read More »A simple way to understand the statistical foundations of data science
Developing carrier grade enterprise AI applications based on 5G, IoT and the Cloud
In this article, we discuss how 5G technologies could empower the next generation enterprise AI applications. What does it mean to develop carrier grade applications?… Read More »Developing carrier grade enterprise AI applications based on 5G, IoT and the Cloud
2021 predictions and trends for AI
Despite all the havoc, 2020 has been a good year for tech and a good year for AI. We already see the green shoots… Read More »2021 predictions and trends for AI
The implications of Huang’s law for the Artificial Intelligence stack
Nvidia CEO Jensen Huang proposed an idea which the media has labelled ‘Huang’s law’ along the lines of Moore’s law. Moore’s predicts that the number… Read More »The implications of Huang’s law for the Artificial Intelligence stack
Free book – Cloud Native, Containers and Next-Gen Apps
I always seek good resources for my teaching at #universityofoxford and this is a great free book on Cloud native – a topic that is… Read More »Free book – Cloud Native, Containers and Next-Gen Apps
Free book – Artificial Intelligence: Foundations of Computational Agents
Free book – Artificial Intelligence: Foundations of Computational Agents There are many excellent free books on Python – but Artificial Intelligence: Foundations of Computational Agents is… Read More »Free book – Artificial Intelligence: Foundations of Computational Agents
Why we need more Bayesian trained data scientists than frequentist post COVID 19 ..
Earlier this week, I was speaking at an event on AI for Real Estate where I showed an example from a BBC clip which said… Read More »Why we need more Bayesian trained data scientists than frequentist post COVID 19 ..
How to approach the study of algorithms?
I have been reading a book recently about algorithms in the wider sense (40 algorithms every programmer should know -book and github link below)… Read More »How to approach the study of algorithms?