The Coral Dev Board (2019), Dev Board Mini (2020) and Dev Board Micro (2023) are almost really awesome. They were really the first products to make running Edge AI operations feasible, the product of Google’s own development of products like it’s smart speakers and smartphones. On the positive side, Google hasn’t killed them yet like […]
Using the Coral Dev Board in 2025 Read More »
I have been racing bikes since my early teens. Cycling is a really fun sport, but having suffered no less than three concussions crashing in criterium racing, and also having been hit twice by cars while training, I have moved away from the sport a bit. I tried triathlons, but don’t like swimming enough to
A Duathlete in the Wind Tunnel Read More »
Demand forecasting is exactly how it sounds: forecasting demand. This can take many forms but the most classic example is predicting how many products will be sold by a retailer on each particular day. This forecasting is in turn used to drive business value in various ways. The most common is better inventory management, but
A Different Look at Intermittent Demand Forecasting Read More »
Is ChatGPT and the its family of LLMs alive? If not, will models like these someday (soon) be alive? Do we need to be afraid of them destroying our world as we know it? And regardless of whether these things are alive or not, will they be useful? Those questions are big questions right now,
To Be, or Not to Be AGI, and how do I use it? That is the question Read More »
For the last couple of years, I have spent a large portion of my life attempting to solve the unsolvable: forecasting time series to predict the future. I have personally thought myself quite clever for the various innovations I have come up with, and the thousands of users on my free and open-source AutoTS project
Winning the M6 Competition: Financial Forecasting Decision Category Read More »
For the last few days, I decided to finally set about playing with Stable Diffusion – an open source model from Hugging Face which has several direct competitors, particularly Dalle2. They all do the same thing, more or less. They take a text prompt, convert it to an embedding, and then use that to generate
Adventures and Thoughts on AI Art Read More »
I have always been particularly impressed with the forecasting performance of the Prophet model. It has only a few parts: seasonality, holidays, any external regressors, and with those it has some of the most consistent forecasting performance around. Also, being a linear model (with Bayesian parameter estimation), Prophet offers a decomposable explainability/interpretability, i.e. Monday has
Introducing the Cassandra Model Read More »
The HP Book Studio G9 is very nearly perfect. I need a computer for data science with which I can also travel far and wide as a digital nomad, and I’ve been searching a while for the best one. Besides programming, movies and writing are the other use cases, and the occasional Civilization game. I
HP ZBook Studio 16 Inch G9 Review Read More »
One of the more exciting new features coming soon to AutoTS is the automatic detection of holidays. That’s exactly what it sounds like: figuring out when holidays are occurring and being able to generate that calendar for the future. Firstly, why is this needed? A couple of reasons. The big reason is that holidays are
Holiday Detection for Forecasting Read More »
Reading through documentation for a programming function to find what arguments it likes can be tedious, especially since many of the possible options either don’t work together or aren’t documented. Something I have been including on most of my newer classes is a static method called get_new_params(method=’random’) which does pretty much exactly as it says,
The simple elegance of `.get_new_params()` Read More »
