machine learning

Anthropic’s AI “vaccines,” scaling gamble, and why it shut OpenAI out

Good morning. It’s Monday, August 4th.On at the present time in tech history: In 1987the legendary Connection Machine CM-2 from Pondering Machines Corporation finally landed in research labs. With its 65,536 processors, it...

Confusion Matrix Made Easy: Accuracy, Precision, Recall & F1-Rating

we cope with classification algorithms in machine learning like Logistic Regression, K-Nearest Neighbors, Support Vector Classifiers, etc., we don’t use evaluation metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE) or Root...

The ONLY Data Science Roadmap You Have to Get a Job

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...

LLMs and Mental Health

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...

“I feel of analysts as data wizards who help their product teams solve problems”

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...

How Computers “See” Molecules

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...

Mastering NLP with spaCy – Part 2

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...

Meta Detects First “Self-Improving AI”

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...

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