machine learning

you trying to grow to be an information scientist and don’t know where to begin? In this text, I would like to give you an easy, no-nonsense learning roadmap that you could follow to...

who're paying close attention to the media coverage of AI, particularly LLMs, will probably have heard about a number of cases and trends around how people’s mental health may be affected by use...

You’ve written extensively about agentic AI and frameworks like smolagents and LangGraph. What excites you most about this emerging space? I first began exploring generative AI largely out of curiosity and, admittedly, a little bit...

a pc, Edvard Munch’s  is nothing greater than a grid of pixel values. It has no sense of why swirling lines in a twilight sky convey the agony of a scream. That’s because...

in a sentence provide numerous information, corresponding to what they mean in the true world, how they hook up with other words, how they alter the meaning of other words, and sometimes their...

Good morning. It’s Friday, August 1st.On today in tech history: In 2011Google researchers quietly open-sourced DistBelief, their pioneering deep learning framework built for large-scale distributed neural networks. DistBelief directly inspired TensorFlow years later...

segmentation is a well-liked task in computer vision, with the goal of partitioning an input image into multiple regions, where each region represents a separate object. Several classic approaches from the past involved taking...

phrase “just retrain the model” is deceptively easy. It has develop into a go-to solution in machine learning operations each time the metrics are falling or the outcomes have gotten noisy. I actually...