AI is revolutionizing the way industries operate and is graduating to making autonomous decisions in many businesses. This rapid adoption of AI has also pervaded several high impact industries, namely healthcare, judiciary, and banking solutions. Notably, the use of AI in such critical applications comes with the primary issue of…

Improve the performance of your regression model with these tips and tricks — Regression analysis is a powerful statistical method used to estimate the structure of a relationship between two variables by determining a line-of-best-fit among data points. The mathematical formula representing this line is then used to predict a dependent variable given one or more independent variables. Regression-based algorithms are useful in…

A short tutorial on how to load a pre-trained NLP model from spaCy for sentence similarity tasks — Introduction Natural Language Processing (NLP) is a type of artificial intelligence in which computers process and interpret human language. NLP is the result of more than a century of research into computational linguistics and statistical modeling, as well as much more recent machine learning breakthroughs.

Learn to perform image inpainting in the first installment of a four-part series on the Intel OpenVINO toolkit — Photos play an essential role in how we interact with others in our day-to-day lives. But sometimes photos may become damaged; maybe they’ve deteriorated with time or maybe they’ve been edited poorly. Maybe you’re looking to digitize an old photo album, but some of the photos have physical damage, likes…

A tutorial on how to build an experiment in Comet with Shap Values plots — Sometimes when you build a Machine Learning model, the results produced differ from those expected, despite having appropriately taken all the necessary precautions (feature selection, model optimization, and so on). In these cases, you move on to the troubleshooting phase, where, in addition to…

Check out part 1 (here) and part 2 (here) of this series. This article was originally published on the Comet blog. In the last part of our series on uncertainty estimation, we addressed the limitations of approaches like bootstrapping for large models, and demonstrated how we might estimate uncertainty in…

Save Hours With The Help of Transfer Learning & Optimizers — Deep learning is a subset of machine learning that utilizes neural networks in “deep” architectures, or multiple layers, to extract information from data. Early neural networks employed relatively simple (or “shallow”) architectures, but today’s deep learning neural networks can be incredibly complex. Neural networks are designed to work much like…

You can check out part 1 of this series here. This article was first published on the Comet blog. In part 1 of this series, we discussed the sources of uncertainty in machine learning models, and techniques to quantify uncertainty in the parameters, and predictions of a simple linear regression…

As we already know, Google I/O 2022 finished a few weeks ago, and many new features and announcements were covered. Nowadays a lot of people are using AI and Machine Learning to build smart solutions — and it’s believed AI and ML can become a part of every developer's toolbox. …