The Book of Why By Judea Pearl CAUSATION | How do we deal with causation specially in the context of big data. There is perhaps no superior scientist to turn to than Judea Pearl. The Deep Learning Revolution By Terrence J. Sejnowski MACHINE INTELLIGENCE | A historical and contemporary treatment of one the greatest scientific breakthrough of Read More
Abacha ti ku oooo – They Danced, and if my Memory Serves me Right, I Danced Too – I Say, Baloney! – The Placenta of Yoghurt – Of Ishango Bones and Nubian Antibiotics – The African Dream and the Black Problem – The Unknown-Knowns General Sani Abacha, if you don’t know him (and I am Read More
In my last notebook we looked at a classification problem, and we defined many classification metrics. In this notebook, we will go through some regression metrics. Recall that in regression, the response value is continuous (and not categorical), as such different kind of prediction assessment will come into play.
Now, say, you have built a machine learning model; the question you ask is: ‘how well does this thing works anyways?’. To answer this question, we will need to define the performance metrics. As you might have imagined, the metrics will depend on the kind of machine learning problem in view.
These are the methods involved in sampling during machine learning. In my last notebook-blog, I hinted the idea of an analogy between a 12-year-old girl studying for an exam, and our machine trying to learn…
The 2 ways of knowing – Housekeeping and arguments – the adjectives were nowhere to be found – The p values that couldn’t save Billy – Respice post te. Hominem te memento – An epistemic meditation on the COVID-19 Pandemic – Writing as a manner of concluding Friends permit me to start with Hume’s fork. Read More
On Coronavirus and Universities Me: Did you hear? Imhotep: Hear what? Me: That they are closing universities; Going online; Coronavirus things. Imhotep: Urh, a number of departments, as we know it today should have been closed a long time ago, wellllllll before the coronavirus incident. Me: [looking non-plussed] Imhotep: Surprised? Are you surprised by my Read More
In our ML blog-syllabus, mathematical foundations of ML should be the next stop, however I have decided to postpone this till later in the blog in order to write something more comprehensive. The reader should note that getting the maths ‘out of the way’ is very essential to deeply understand a lot of the ML algorithm out Read More
The first desirable step to knowing God is knowing about him. Knowing God is a personal affair but knowing about him, one could say is doingTheology (with the capital T).  An improper or flimsy knowledge about God might interfere with knowing God. That is, people of faith might drift away when the reasonableness of falling Read More
In between his works at his A.I. company, his biotech company, and numerous public lectures, he taught an Integrated Science class every fall at Itiwo Schools. Dr. Asanmu was a polymath for sure. One moment he is seen sitting down with bishop-philosophers discussing the intricacies of Thomism and Augustinianism, the next minute he is seen Read More