interpretable

A deep exploration of TFT, its implementation using Darts and how to interpret a TransformerContinue reading on Towards Data Science » A deep exploration of TFT, its implementation using Darts and how to interpret a TransformerContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their…

Large language models (LLMs), trained on vast volumes of text data, has sparked a revolution in AI. Their ability to generate remarkably…Continue reading on Towards Data Science » Large language models (LLMs), trained on vast volumes of text data, has sparked a revolution in AI. Their ability to generate remarkably…Continue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s…

How understanding your model can lead to trust, knowledge and better performance in production(source: DALL.E 2)We seem to be in the golden era of AI. Every week there is a new service that can do anything from creating short stories to original images. These innovations are powered by machine learning. We use powerful computers and vast amounts of data to train these models. The problem is, this process leaves us with a poor understanding of how they actually work.Ever increasing abilities? No idea how they work? Sounds…

Photo by Kevin Ku on UnsplashA summary of the findings and developed taxonomy developed by MIT researchers.In February 2022, researchers at the Data to AI (DAI) group at MIT released a paper called “The Need for Interpretable Features: Motivation and Taxonomy” . In this post, I aim to summarize some of the main points and contributions of these authors and discuss some of the potential implications and critiques of their work. I highly recommend reading the original paper if you find any of this intriguing. Additionally,…

An introduction to IML — the field aimed at making machine learning models understandable to humans(created with DALLE Mini)Should we always trust a model that performs well?A model could reject your application for a mortgage or diagnose you with cancer. These decisions have consequences. Serious consequences. Even if they are correct, we would expect an explanation.A human could give one. A human would be able to tell you that your income is too low or that a cluster of cells is malignant. To get similar explanations…

Photo by eberhard grossgasteiger on UnsplashOver the last decade, neural networks have been showing superb performance across a large variety of datasets and problems. While metrics like accuracy and F1-score are often suitable to measure the model’s ability learn the underlying structure of the data, the model still performs like a black box. This fact often renders neural networks unusable for safety critical applications where one needs to know on which assumptions a predication was made.Just imagine a radiologist…

Alerting Meaningful Multivariate Drift and ensuring Data QualityPhoto by FLY:D on UnsplashModel monitoring is becoming a hot trend in machine learning. With the crescent hype in the activities concerning the MLOps, we register the rise of tools and research about the topic.One of the most interesting is for sure the Confidence-based Performance Estimation (CBPE) algorithm developed by NannyML. They implemented a novel procedure to estimate future models' performance degradation in absence of ground truth. It may yield…

A brief overview of some interpretable machine learning modelsImage by authorModel explanation is an essential task in supervised machine learning. Explaining how a model can represent the information is crucial to understanding the dynamics that rule our data. Let’s see some models that are easy to interpret.Data Scientists have the role to extract information from raw data. They aren’t engineers, nor they are software developers. They dig inside data and extract the gold from the mine.Knowing what a model does and how…