data science

In this text, I'll introduce you to hierarchical Bayesian (HB) modelling, a versatile approach to mechanically mix the outcomes of multiple sub-models. This method enables estimation of individual-level effects by optimally combining information across...

as an NBA coach? How long does a typical coach last? And does their coaching background play any part in predicting success? This evaluation was inspired by several key theories. First, there was a...

generally is a scary topic for people. A lot of you must work in machine learning, however the maths skills needed could seem overwhelming. I'm here to inform you that it’s nowhere as intimidating as...

trees are a preferred supervised learning algorithm with advantages that include with the ability to be used for each regression and classification in addition to being easy to interpret. Nevertheless, decision trees aren’t...

is a statistical approach used to reply the query: “How long will something last?” That “something” could range from a patient’s lifespan to the sturdiness of a machine component or the duration of...

-up to my earlier article: The Dangers of Deceptive Data–Confusing Charts and Misleading Headlines. My first article focused on how will be used to mislead, diving right into a form of knowledge presentation...

Whether you’re preparing for interviews or constructing Machine Learning systems at your job, model compression has grow to be vital skill. Within the era of LLMs, where models are getting larger and bigger, the...

has change into the gateway drug to machine learning for a lot of organizations. It guarantees exactly what teams under pressure need to hear: you bring the info, and we’ll handle the modeling....