Summary Previous research has used backward error analysis to find ordinary differential equations (ODEs) that approximate the gradient descent trajectory. We have discovered that finite step…
Browsing: Machine Learning
Summary Amazon SageMaker now offers response streaming for real-time inference, allowing users to continuously stream inference responses back to the client. This feature is beneficial for…
Introduction In today’s data-driven business landscape, harnessing the power of machine learning (ML) and artificial intelligence (AI) has become essential for enterprises seeking to thrive and…
Summary Logistic regression and linear regression are two of the most popular machine learning algorithms used for predictive modelling. Both algorithms are supervised learning algorithms, so…
Summary This paper presents a deep learning-based probabilistic algorithm for integer factorization. The algorithm converts the factorization problem into a binary classification problem using Lawrence’s extension…
Summary Amazon CodeWhisperer is an AI coding companion that offers code snippets and recommendations based on natural language prompts. It aims to improve developer productivity, responsible…
Summary Last week, Geoffrey Hinton who is considered the “God Father of AI”, who visited Cambridge University and gave a series of talks, Q&A sessions, and…
Summary Graph neural networks (GNNs) are neural networks that operate on graph data, which are useful for representing real-world objects and their connections. GNNs have seen…
Introduction In the realm of modern technology, the terms Artificial Intelligence, Generative AI, and Machine Learning are often used interchangeably. However, they represent distinct concepts with…
In my previous post, I defined an experimentation program (ExPr) as the mechanism by which a company uses randomized controlled experiments to generate positive business results.…