1-Year Anniversary of the COVID Stock Market Crash
Those that encounter my blogs might notice two distinct types: 1) blogs that I formally prepare almost like an essay; and 2) those that are “unplugged” or inf...
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DSC Webinar Series: Top 3 Imperatives to Scale Analytics Across the Enterprise
Organizations are keenly aware that data and analytics can unlock hidden opportunities and create a competitive advantage. However, only about 25% of organizations have...
DSC Weekly Digest 15 Feb 2021
The Pandemic, Punctuated Equilibrium, and Digital Transformation It’s coming up on a year. Covid-19 was already in the news but for the most part, the virus hadn...
Maximum runs in Bernoulli trials: simulations and results
Bernoulli trials are random experiments with two possible outcomes: “yes” and “no” (in the case of polls), “success” and “f...
Ensemble Forecasts: The Future of Modeling Pandemics?
Ensemble forecasting is a popular choice to improve predictions. The method has been widely used to model various aspects of the current pandemic. Ensembles may be our be...
A Critical Comparison of the ML Platforms in an Evolving Market
The Evolution of the MLaaS Market The Machine Learning as a service (MLaaS) market is booming. It is expected to grow to $8.48 billion by 2025, at 43% CAGR. Increased cl...
More Surprising Math Images
To zoom in on any picture, click on the image to get a higher resolution. This a follow up to my previous article here, where you can find additional, very different imag...
Beautiful Mathematical Images
To zoom in on any picture, click on the image to get a higher resolution. Figure 1: The pillow basins (see section 3) The topic discussed here is closely related to optim...
DSC Podcast Series: MLOps Agents: Provide Centralized Monitoring for All Your Production Models
Machine Learning Operations (MLOps) allows organizations to deploy, manage, monitor, and govern their machine learning models from a single place, regardless of how they ...
Building an Algorithm to Trade Items on the Steam Community Market
Machine learning is increasingly used to build trading algorithms: today’s machine learning algorithms can deal with incredibly complex problems, including portfolio...