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Understanding Random Forest using Python (scikit-learn)

Understanding Random Forest using Python (scikit-learn)

by Dr. Owns | May 15, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Decision trees are a popular supervised learning algorithm with benefits that include being able to be used for both regression and classification as well as being easy to interpret. However, decision trees aren’t the most performant algorithm and are prone to...
How to Learn the Math Needed for Machine Learning

How to Learn the Math Needed for Machine Learning

by Dr. Owns | May 15, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Maths can be a scary topic for people. Many of you want to work in machine learning, but the maths skills needed may seem overwhelming. I am here to tell you that it’s nowhere as intimidating as you may think and to give you a roadmap, resources, and advice on how to...
How To Build a Benchmark for Your Models

How To Build a Benchmark for Your Models

by Dr. Owns | May 15, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

I’ve been working as a data science consultant for the past three years, and I’ve had the opportunity to work on multiple projects across various industries. Yet, I noticed one common denominator among most of the clients I worked with: They rarely have a clear idea...
🚪🚪🐐 Lessons in Decision Making from the Monty Hall Problem

🚪🚪🐐 Lessons in Decision Making from the Monty Hall Problem

by Dr. Owns | May 15, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

The Monty Hall Problem is a well-known brain teaser from which we can learn important lessons in Decision Making that are useful in general and in particular for data scientists. If you are not familiar with this problem, prepare to be perplexed . If you are, I hope...
Boost 2-Bit LLM Accuracy with EoRA

Boost 2-Bit LLM Accuracy with EoRA

by Dr. Owns | May 14, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Quantization is one of the key techniques for reducing the memory footprint of large language models (LLMs). It works by converting the data type of model parameters from higher-precision formats such as 32-bit floating point (FP32) or 16-bit floating point...
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