There is a highlight of articles on the less technical aspects of data science work, including change management, data storytelling, preparing for technical presentations, and essential skills for data scientists. There are also additional reads on recommendation systems, pseudo-random numbers, knowledge-graph reasoning, reinforcement learning, hidden Markov models, and continual learning.

The Screen Actors Guild-American Federation of Television and Radio Artists (SAG-AFTRA) has reached an agreement with the Alliance of Motion Picture and Television Producers (AMPTP), ending the 118-day strike. The details of the agreement are still unknown, but it addresses issues related to AI’s role in actors’ performances and residual payments for streaming services. The…

Researchers from the University of Cambridge have developed an algorithm called Foot Optimisation, using Uncertain Normals for Surface Deformation (FOUND), which improves the reconstruction of 3D foot models from pictures. They have also released a large-scale synthetic dataset of foot images to aid research in this area. The algorithm uses uncertainties and surface normals to…

This article explains the basics of Probit regression as an alternative method to logistic regression for analyzing binary outcomes. Probit regression utilizes the cumulative distribution function of the normal distribution to model the relationship between a binary outcome variable and independent variables. It provides a step-by-step example of calculating probabilities and estimating the model parameters.…

CodeGPT is an AI code-generating tool that is gaining popularity among programmers. It integrates with Visual Studio Code and uses the GPT-3 language model to produce code, translate languages, write content, and answer queries. CodeGPT stands out from other tools due to its natural language processing capabilities, allowing developers to describe code in everyday language.…

The Phind Model, a new AI model for coding, offers superior coding abilities and remarkable speed compared to GPT-4. With a significant improvement in response time, it provides high-quality answers to technical questions in just 10 seconds. The model leverages H100s and the TensorRT-LLM library from NVIDIA to process 100 tokens per second and supports…

Fortuna is an open-source uncertainty quantification library that aims to simplify the application of advanced uncertainty quantification methods in regression and classification tasks. It offers calibration techniques, such as conformal prediction, to produce reliable uncertainty estimates and scalable Bayesian inference tools to incorporate uncertainty in both model parameters and predictions. Fortuna provides a consistent framework…