Machine Learning

to tune hyperparamters of deep learning models (Keras Sequential model), in comparison with a traditional approach — Grid Search. Bayesian Optimization Bayesian...

neural networks, we often juggle two competing objectives. For example, maximizing predictive performance while also meeting a secondary goal like fairness, interpretability,...

of AI agents. LLMs are no longer just tools. They’ve become active participants in our lives, boosting productivity and transforming...

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array object can take many concrete forms. It might be a one-dimensional (1D) array of Booleans, or a three-dimensional (3D)...

to start studying LLMs with all this content over the internet, and new things are coming up each day. I’ve...

Learning Supervised learning is a category of machine learning that uses labeled datasets to train algorithms to predict outcomes and...

In this article, I will introduce you to hierarchical Bayesian (HB) modelling, a flexible approach to automatically combine the results...

full code for this example at the bottom of this post. Multiple regression is used when your response variable Y...

as an NBA coach? How long does a typical coach last? And does their coaching background play any part in...