Ajit jaokar's Blog – June 2020 Archive (5)

23 sources of data bias for #machinelearning and #deeplearning

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…


Added by ajit jaokar on June 30, 2020 at 12:02pm — 1 Comment

IoT Anomaly detection - algorithms, techniques and open source implementation


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…


Added by ajit jaokar on June 26, 2020 at 10:00am — 1 Comment

Free book – for #datascience interviews - Guide to competitive programming

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…


Added by ajit jaokar on June 23, 2020 at 12:00pm — 5 Comments

How exactly do you identify an AI start-up?


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…


Added by ajit jaokar on June 17, 2020 at 1:00pm — 1 Comment

AI replacing journalists and what it means for jobs

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…


Added by ajit jaokar on June 1, 2020 at 11:21am — No Comments

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