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Structure and Relationships: Graph Neural Networks and a Pytorch Implementation | by Najib Sharifi | Mar, 2024

Data ScienceMarch 5, 2024234Views 0Likes 0Comments

Let’s implement a regression example where the aim is to train a network to predict the value of a node given the value of all other nodes i.e. each node has a single feature (which is a scalar value). The aim of this example is to leverage the inherent relational information encoded in the graph…

What is an LLM, Really? How they Work & How to Work with Them | by Stefan Kojouharov | Mar, 2024

Human AiMarch 5, 2024218Views 0Likes 0Comments

The Complete Guide to Understanding Large-Language Models and How to Work with Them. Originally Published on my Substack Have you ever wondered how a chatbot like ChatGPT or any other Large Language Model (LLM) works? When a new technology really wows and gets us excited, it becomes a part of us. We make it ours,…

How to streamline your Expense Reimbursement process

NanonetsMarch 5, 2024214Views 0Likes 0Comments

Expense reimbursement is a fundamental aspect of business operations, encompassing the process by which employees are paid back for expenses they've incurred on behalf of the company. These expenses often include travel, meals, accommodation, and office supplies—costs that are essential for carrying out business activities but are initially borne by employees. The goal of an…

Unlock the Secrets of LLMs in a 60-Minute with Andrej Karpathy

Data AnalyticsMarch 5, 2024234Views 0Likes 0Comments

Image by Editor Have you heard of Andrej Karpathy? He's a renowned computer scientist and AI researcher known for his work on deep learning and neural networks. He played a key role in the development of ChatGPT at OpenAI and was previously the Sr. Director of AI at Tesla. Even before that, he…

TARNet and Dragonnet: Causal Inference Between S- And T-Learners | by Dr. Robert Kübler | Mar, 2024

Data ScienceMarch 5, 2024233Views 0Likes 0Comments

Learn how to build neural networks for direct causal inference Photo by Geranimo on UnsplashBuilding machine learning models is fairly easy nowadays, but often, making good predictions is not enough. On top, we want to make causal statements about interventions. Knowing with high accuracy that a customer will leave our company is good, but knowing…

45 Business Expense Categories for Businesses & Startups

UncategorisedMarch 5, 2024199Views 0Likes 0Comments

Business expense categories are a systematic classification of costs incurred during the operation of a business, designed to organize and track financial outflows for purposes such as tax preparation, budgeting, and financial analysis. This categorization helps businesses manage their finances more efficiently by providing insights into spending patterns and identifying potential tax deductions. Smart entrepreneurs…

7 Ways AI Can Streamline Expense Management

NanonetsMarch 5, 2024232Views 0Likes 0Comments

Managing expenses often proves to be a Herculean task for many organizations. Traditional expense management systems are often fraught with challenges: manual data entry is time-consuming and prone to errors; fraudulent claims can slip through the cracks; and ensuring compliance with company policies and tax laws can feel like navigating a minefield. These inefficiencies not…

Data Science and the Go Programming Language

Data AnalyticsMarch 5, 2024358Views 0Likes 0Comments

Sponsored Content Comments by Tom Miller, Faculty Director of Northwestern University’s MSDS program. Years ago, as a student of applied statistics at the University of Minnesota, I learned a lesson about programming in academia. At the start of the course, the professor said, "I don't care what language you use for assignments, as long…

Revolutionizing Image Quality Assessment: The Introduction of Co-Instruct and MICBench for Enhanced Visual Comparisons

AI NewsMarch 5, 2024224Views 0Likes 0Comments

Image Quality Assessment (IQA) is a method that standardizes the evaluation criteria for analyzing different aspects of images, including structural information, visual content, etc. To improve this method, various subjective studies have adopted comparative settings. In recent studies, researchers have explored large multimodal models (LMMs) to expand IQA from giving a scalar score to open-ended…

Comparison of Methods to Inform K-Means Clustering | by Chris Taylor | Mar, 2024

Data ScienceMarch 5, 2024241Views 0Likes 0Comments

A Brief Tutorial Photo by Nabeel Hussain on UnsplashK-Means is a popular unsupervised algorithm for clustering tasks. Despite its popularity, it can be difficult to use in some contexts due to the requirement that the number of clusters (or k) be chosen before the algorithm has been implemented. Two quantitative methods to address this issue…