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In the banking industry, detecting credit card fraud using machine learning is not just a trend; it is a necessity for banks, as they need to put proactive monitoring and fraud prevention mechanisms in place. Machine learning helps these institutions reduce time-consuming manual reviews, costly chargebacks and fees, and denial of legitimate transactions. Suppose you are part of the analytics team working on a fraud detection model and its cost-benefit analysis. You need to develop a machine learning model to detect fraudulent transactions based on the historical transactional data of customers with a pool of merchants.

We have listed some of the free and powerful GenAI APIs and explore their benefit and usage.

Let's uncover the untapped potential within your team by identifying members who could significantly benefit from using GitHub Copilot, yet haven't started!

ADAS 前车碰撞预警系统：True innovation does not come from closed barriers, but from sharing knowledge and lowering entry barriers so that more people can benefit.

Federated Meta-Learning: a concept that allows everyone to benefit from the data that is generated through machine learning libraries.

The Content Hub Is a online platform which acts as a all in one solution helping content creators develop and generate short form video image content utilising genai models and cloud to maximize their efficiency and benefit from the ever-growing developments in ai models

Here i build a Conversational Voice Controlled React News Application using Alan AI. Alan AI is a revolutionary speech recognition software that allows you to add voice capabilities to your applications. It allows you to control absolutely everything in the app using your voice. Another huge benefit is that it's extremely easy to integrate it.

Public-benefit GenAI platform for the Fijian language — combining Claude + RAG + OpenSearch to build verified datasets, preserve culture, and unlock AI access in the Pacific. LLM Fine-Tuning, RAG, Generative AI and learning

Code for Masterthesis "Client Benefit and Contribution in Client Clustering Approaches for Federated Learning with Imbalanced Data"

End-to-end development of an application using a convolutional neural network that suggests to users/moderators which technical subreddit a post actually belongs to. Novel method to determine # of CNN filters. Custom Word2vec embeddings. The subreddits chosen are all technical and similar, and benefit users/moderators interested in data science and related fields. (Exploratory data analysis, feature engineering, custom word2vec embeddings, convolutional neural network, deployment via flask to Heroku )

smartai :man_in_motorized_wheelchair::flight_arrival: : Smart AI Assistance # RAG # Bedrock # OpenSearch # Lambda # KB # Agent # Dynamodb

This project aims to optimize bank client retention by predicting customer churn using machine learning models, with LightGBM being the most effective. SHAP analysis identified key churn factors, and the model's financial impact showed a potential benefit of $159,157.

Use Raccoon.ai with Ollama to benefit from a user interface that lets you exploit your artificial intelligence locally.