by Dr. Owns | Jan 14, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
From beginner to pro: key machine learning skills for data science aspirantsContinue reading on Towards Data Science » From beginner to pro: key machine learning skills for data science aspirantsContinue reading on Towards Data Science » getting-started, roadmaps,...
by Dr. Owns | Jan 13, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
How I learned ML foundations to tackle a complex problemContinue reading on Towards Data Science » How I learned ML foundations to tackle a complex problemContinue reading on Towards Data Science » software-development, software-engineering, classification,...
by Dr. Owns | Jan 13, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
In A/B testing, you often have to balance statistical power and how long the test takes. Learn how Allocation, Effect Size, CUPED & Binarization can help you.Image by authorIn A/B testing, you often have to balance statistical power and how long the test takes....
by Dr. Owns | Jan 13, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Witnessing rapid innovation, fierce competition, and transformative tools for life, work, and human developmentContinue reading on Towards Data Science » Witnessing rapid innovation, fierce competition, and transformative tools for life, work, and human...
by Dr. Owns | Jan 13, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
A comprehensive guide on getting the most out of your Chinese topic models, from preprocessing to interpretation.With our recent paper on discourse dynamics in European Chinese diaspora media, our team has tapped into an almost unanimous frustration with the quality...
by Dr. Owns | Jan 13, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Exploring llama.cpp internals and a basic chat program flowPhoto by Mathew Schwartz on Unsplashllama.cpp has revolutionized the space of LLM inference by the means of wide adoption and simplicity. It has enabled enterprises and individual developers to deploy LLMs on...
