Dr. Michael Green
CEO, Founder
Founder and CEO of Desupervised, where we co-develop uncertainty-aware AI solutions with companies. Theoretical physicist with 25 years building neural networks and a vocal advocate for Bayesian methods and uncertainty quantification.
20 posts
- Bayesian Statistics
Bayesian priors and Ridge regression
Showing the equivalence of Bayesian priors and Ridge regression
- Bayesian Statistics
Choose your optimization algorithm carefully
How does the choice of optimization result impact how long time it takes to find the correct solution
- Bayesian Statistics
Confidence intervals - Not what you think
Confidence intervals actually says nothing at all about the probability of the value being in the interval
- Bayesian Statistics
Deep Evidential Modeling
Deep Evidential Modeling for safe, robust and accurate machine learning applications
- Bayesian Statistics
Identifiability and granularity for time series models
Is it better to aggregate sparse data or does the granularity add value
- Bayesian Statistics
Impact of bimodality in regression problems
A few thoughts on apparent bimodality for regression problems!
- Drug Discovery
Launching the ComNav
Why we are launching ComNav, a holistic business measurement & optimization platform
- Bayesian Statistics
The apparent success of the maximum likelihood principle
The maximum likelihood principle is modeling without assumptions, and there is no such thing. The assumption of no assumption is a flawed assumption.
- Bayesian Statistics
The importance of context
The importance of context when building models
- Bayesian Statistics
The insignificance of significance
Statistical significance has always held a slightly magical status in the research community, this is misguided ans should be stopped
- Bayesian Statistics
The truth about priors and overfiting
Learn about the effect of week and strong priors and how it effects overfitting
- Applied ML
Top 3 reasons why you should consider an external AI team
Artificial intelligence (AI) has rapidly become one of the most transformative technologies of the 21st century. Learn why you should consider an external AI team to accelerate your adaptation
- Bayesian Statistics
What does the prior actually do in a Bayesian analysis?
How the prior and posterior effects the likelihood in Bayesian inference, and why setting the correct priors are important.
- Marketing Mix Modeling
On the long term effects of marketing and brand models
Understand the how marketing impact brand awareness
- Marketing Mix Modeling
Holistic Business Modeling Supersedes Business Science Models
Maximizing Growth and Profitability: How Holistic Business Modeling and Optimization Can Transform Your Business
- Customer Experience
NPS: On the importance of customer experience for insurance companies
Customer experience refers to the overall perception of a customer’s interactions with a company. It includes elements such as the ease of use of a company’s products or services, the quality of customer service, and the overall feeling of satisfaction a customer has with the company.
- Bayesian Statistics
On the fallacy of A/B testing
A/B testing is a commonly used method for determining the effectiveness of different variations of a product or marketing campaign. However, despite its widespread use, A/B testing has several limitations that make it a flawed methodology, particularly when compared to bespoke machine learning models.
- Customer Experience
Top 3 reasons why the ROI on your CX investments is hard to measure and prove
or CX investments, whose primary output is typically measured in Net Promoter Score (NPS) this presents a challenge to measure the ROI
- Drug Discovery
Drug Discovery using Equivariant Graph Neural Networks
Equivariant Graph Neural Networks that predict protein binding sites blindly, plus ligand pose and orientation, benchmarked against Qvina-W in early AIChemy work.
- Drug Discovery
Desupervised & RG Discovery Receive Eurostars Grant
Desupervised and RG Discovery have partnered to develop AI-powered drug discovery tools, supported by a Eurostars R&D grant.
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