Michael Green
About
Talks
Thoughts about Scientific Machine Learning and AI
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drug discovery
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xi correlation
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The cacophony around us
2 min
ai
learning
personal development
rant
cacophony
Never before have I heard so many people speak of so many things they know so little about.
Michael Green
Dec 31, 2024
Learning a new skill: A thing of the past?
2 min
ai
learning
personal development
Most people assume that AI will eventually do everything. That’s wrong. AI is a tool, a powerful one, but still just a tool. Thinking AI will replace human skill is like…
Michael Green
Dec 30, 2024
Evidential musings
Utilizing conjugacy for the Multinomial distribution
11 min
conjugacy
bayesian
multinomial
dirichlet-multinomial
As outlined in
Sensoy, Kaplan, and Kandemir (2018)
there’s some work done in Evidential Deep Learning to quantify uncertainty in classification applications. The evidential…
Michael Green
Dec 26, 2024
ξ correlation: A new tool for your causality checks
14 min
correlation
xi correlation
causality
There’s a new candidate for checking for relationships between two variables out on the streets. It’s been there since 2020, but I actually just heard about it now. It’s…
Michael Green
Sep 20, 2024
LogP, LogD, pKa and LogS: A Physicists guide to basic chemical properties
19 min
logp
logd
pKa
logs
chemistry
drug discovery
molecular properties
Ever since I got into AI Based Drug Discovery a lot of terminology has been thrown my way. The idea to write this came from
(Bhal 2021)
which outlines that it’s important to…
Michael Green
Jan 6, 2024
What does the prior actually do in a Bayesian analysis?
8 min
bayesian
prior
posterior
likelihood
I often feel when talking to coworkers, practitioners and people in general that the Bayesian philosophy has to prove it’s worth or justification as if it’s a contender to…
Michael Green
Dec 6, 2020
COVID-19 in Denmark - An epidemic in a small country
22 min
epidemiology
corona
virus
model
derivative
differentialequations
pandemic
The COVID-19 virus has struck the world with a rare force
(Hui et al. 2020)
. In a matter of months it has affected 194 countries and territories so far. With respect to…
Michael Green
Mar 17, 2020
A quick introduction to derivatives for machine learning people
9 min
non-linear
modeling
regression
math
ml
If you’re like me you probably have used derivatives for a huge part of your life and learned a few rules on how they work and behave without actually understanding where it…
Michael Green
Feb 9, 2018
The importance of context
7 min
inference
bayesian
frequentist
regression
maximum likelihood
When we do modeling it’s of utmost importance that we pay attention to context. Without context there is little that can be inferred.
Dr. Michael Green
Feb 1, 2018
Deep Neural Networks in Julia - Love at first sight?
15 min
programming
julia
modeling
deep learning
I love new initiatives that tries to do something fresh and innovative. The relatively new language Julia is one of my favorite languages. It features a lot of good stuff in…
Michael Green
Jan 10, 2018
On the apparent success of the maximum likelihood principle
23 min
inference
bayesian
frequentist
regression
maximum likelihood
Today we will run through an important concept in statistical learning theory and modeling in general. It may come as no surprise that my point is as usual “age quod agis”.…
Dr. Michael Green
Jul 28, 2017
Building and testing a simple deep learning object detection application
4 min
object detection
deep learning
coco
Deep learning is hot currently. Really hot. The reason for this is that there’s more data available than ever in the space of perception. By perception I mean tasks such as…
Dr. Michael Green
Jul 15, 2017
About identifiability and granularity
11 min
prior
regression
marketing mix modeling
modeling
bayesian
variable selection
In time series modeling you typically run into issues concerning complexity versus utility. What I mean by that is that there may be questions you need the answer to but are…
Dr. Michael Green
May 6, 2017
A few thoughts on apparent bimodality for regression problems!
8 min
prior
regression
modeling
bayesian
bimodality
Did you ever run into a scenario when your data is showing two distinctive relationships but you’re trying to solve for it with one regression line? This happens to me a…
Dr. Michael Green
Apr 9, 2017
On the equivalence of Bayesian priors and Ridge regression
7 min
prior
regression
modeling
bayesian
Today I’m going to take you through the comparison of a Bayesian formalism for regression and compare it to Ridge regression which is a penalized version of OLS. The…
Dr. Michael Green
Jan 18, 2017
About choosing your optimization algorithm carefully
10 min
optimization
simulation
non-linear
evolutionary
constrained optimization
Why is simulation important anyway? Well, first off we need it since many phenomemna (I would even say all interesting phenomemna) cannot be encapsulated by a closed form…
Dr. Michael Green
Oct 17, 2016
The truth about priors and overfitting
16 min
prior
regression
modeling
bayesian
hypothesis testing
Have you ever thought about how strong a prior is compared to observed data? It’s not an entirely easy thing to conceptualize. In order to alleviate this trouble I will take…
Dr. Michael Green
Aug 31, 2016
The insignificance of significance
6 min
significance
statistics
p-value
bayesian
hypothesis testing
Statistical significance has always held a slightly magical status in the research community as well as in every other community. This position is unwarrented and the trust…
Dr. Michael Green
Jun 15, 2016
Doing price optimization in R
2 min
optimization
simulation
non-linear
elasticity
price
econometrics
As many of us already know R is an extremely useful and powerful language for designing, building and evaluating statistical models. In this example I’m going to use R for…
Dr. Michael Green
May 6, 2016
About confidence intervals
12 min
confidence intervals
bayesian
credible interval
regression
Confidence intervals are as beautiful as they are deceiving. They’re part of an elegant theory of mathematical statistics which has been abused since the dawn of time. Why…
Dr. Michael Green
May 5, 2016
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