by Dr. Owns | Feb 13, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
It is said that in order for a machine learning model to be successful, you need to have good data. While this is true (and pretty much obvious), it is extremely difficult to define, build, and sustain good data. Let me share with you the unique processes that I have...
by Dr. Owns | Feb 13, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
In this latest part of my series, I will share what I have learned on selecting a model for Image Classification and how to fine tune that model. I will also show how you can leverage the model to accelerate your labelling process, and finally how to justify your...
by Dr. Owns | Feb 13, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
In Part 1, we discussed the importance of collecting good image data and assigning proper labels for your Image Classification project to be successful. Also, we talked about classes and sub-classes of your data. These may seem pretty straight forward concepts, but...
by Dr. Owns | Feb 12, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
I am sure the quantum hype has reached every person in tech (and outside it, most probably). With some over-the-top claims, like “some company has proved quantum supremacy,” “the quantum revolution is here,” or my favorite, “quantum computers are here, and it will...
by Dr. Owns | Feb 12, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Let’s say you are in a customer care center, and you would like to know the probability distribution of the number of calls per minute, or in other words, you want to answer the question: what is the probability of receiving zero, one, two, … etc., calls per minute?...
by Dr. Owns | Feb 12, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
The basic principle of Large Language Models (LLMs) is very simple: to predict the next word (or token) in a sequence of words based on statistical patterns in their training data. However, this seemingly simple capability turns out to be incredibly sophisticated when...
