In the paper A survey on bias and fairness in machine learning.- the authors outline 23 types of bias in data for machinelearning. The source is good – so below is an actual representation because I found it useful as it is

full paper link below

1) Historical Bias. Historical bias is the already…

Background

Anomaly detection for IoT is one of the archetypal applications for IoT.

Anomaly detection techniques are also used outside of IoT.

In my teaching at the #universityofoxford - we use anomaly detection as a use case because it brings together many of…

Recently Springer made some good books on maths free to download.

Competitive programming strategies are useful for many data science interviews and they help to improve your maths foundations.  There are not many books on this subject (although there are many good websites and YouTube resources).

So, I hope you find this book…

I like this image from the twitter feed of the Paris based Venture Capitalist Michael Jackson

It shows that everyone wants to be an ‘AI start-up’ - but only when it suits them! 

So, how exactly do you build (and identify) an AI start-up

I always like to start off with a set of ground…

Last week,  we heard (from journalists!) that journalists at MSN are being replaced with AI.

I think this is shape of things to come

The announcement highlights a wider trend i.e. how every…

In various formats, one of the most frequent questions I am asked is the equivalent of:

“Can you recommend a free self-paced learning path for #machinelearning and #deeplearning?”

In this post, I attempt an answer

This is based on my work / teaching students primarily at Oxford University, but I…

Introduction

In this post, I argue that

• The idea of AI Superpowers could also apply to people and not only nations.
• Post COVID the biggest change will be the loss of the factory assembly line (the 1920s Henry Ford model and Frederic Taylor's division of labor ideas)
• A new class of ‘worker’ - if we may call them…

I am currently exploring this idea in a paper

Could your personality decide how you can collaborate with AI in future jobs?

I am a strong believer in a mode where humans and AI work together and collaborate 

I also believe that if we can master this skill, we can bring manufacturing jobs back from offshore destinations

In the book…

For the first time, I taught an AI for Cyber Security course at the University of Oxford.

I referred to this paper from Johns Hopkins which covered Deep Neural networks for Cyber Security (A Survey of Deep Learning Methods for Cyber Security) – references below where you can download the full…

One of the best-known books on statistics is now free

Larry Wasserman’s All of Statistics is free to download from Springer

I like this book because – unlike most books on statistics - it takes a modern approach to statistics and covers…

Data Scientists worldwide are forecasting about COVID

Mostly, they are doing excellent work.

But still, most forecasts vary widely

That’s not to say that they are inaccurate

There are a few inherent reasons for this

Firstly, the lack of domain knowledge in epidemiology and biostatistics. Most data scientists lack…

Background

Is an Artificial Intelligence (AI) strategy feasible for SMEs? (Small to Medium Enterprises)?

In this post, we present a pragmatic approach for SMEs to consider AI (at low cost)

To provide some context - What is AI? - We use the following definitions

Machine Learning means…

Inference

In a previous blog (The difference between statistics and data science), I discussed the significance of statistical inference. In this section, we expand on these ideas  

The goal of statistical inference is to make a statement about something that is not observed within a certain level of…

Introduction

Due to COVID19, we already have 1000 deaths in Italy.

Two months ago, these folks, many of them elderly, would have been celebrating Christmas and looking forward to the next Christmas – knowing that northern Italy has one of the best healthcare systems in the world

But apart from the human cost, the…

Introduction

Kubernetes is being described as the next ‘Java’ i.e. it is fast becoming an endemic/ underlying platform for the whole industry just like the Java programming language.

For the first time, we are seeing the entire ecosystem aligning around the single platform via the Cloud native foundation.

Kubernetes is the underlying technology behind a term called ‘Cloud Native’

The Cloud Native foundation defines the term ‘Cloud Native’ as: 

"Cloud…

I saw a post recently which claimed that AI can help doctors diagnose coronavirus

On the face of it - this sounds like a positive development but I wonder if it is?

As I understand it,  a single Chinese…

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…

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…

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…

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…