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Applications of Machine Learning and AI in Banking and Finance in 2023

Analytics Vidhya

Introduction Could the American recession of 2008-10 have been avoided if machine learning and artificial intelligence had been used to anticipate the stock market, identify hazards, or uncover fraud? The recent advancements in the banking and finance sector suggest an affirmative response to this question.

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Accelerate development of ML workflows with Amazon Q Developer in Amazon SageMaker Studio

AWS Machine Learning Blog

Machine learning (ML) projects are inherently complex, involving multiple intricate steps—from data collection and preprocessing to model building, deployment, and maintenance. To start our ML project predicting the probability of readmission for diabetes patients, you need to download the Diabetes 130-US hospitals dataset.

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Two Indispensable Tools for Measuring the Quality of AI Systems

ODSC - Open Data Science

Measuring the quality of free text responses is not trivial compared to traditional ML models and requires semantic comparisons to approach parity with human evaluation. A strong case for keeping humans in the loop when assessing generative AI performance.

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[AI/ML] Keswani’s Algorithm for 2-player Non-Convex Min-Max Optimization

Towards AI

Last Updated on November 17, 2024 by Editorial Team Author(s): Shashwat Gupta Originally published on Towards AI. Wiley & Sons, Incorporated, John, 2008.[8] Flammarion “Non-convex min-max optimisation”, [link] Join thousands of data leaders on the AI newsletter. Published via Towards AI Netrapalli, and M.

Algorithm 101
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Getting Started with AI

Towards AI

Last Updated on August 26, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. How to get started with an AI project Vackground on Unsplash Background Here I am assuming that you have read my previous article on How to Learn AI. In a few sentences, describe the following: What is the goal?

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Reinventing the data experience: Use generative AI and modern data architecture to unlock insights

AWS Machine Learning Blog

Organizations can maximize the value of their modern data architecture with generative AI solutions while innovating continuously. The AI and language models must identify the appropriate data sources, generate effective SQL queries, and produce coherent responses with embedded results at scale.

Database 101
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How Clearwater Analytics is revolutionizing investment management with generative AI and Amazon SageMaker JumpStart

Flipboard

Generative AI , AI, and machine learning (ML) are playing a vital role for capital markets firms to speed up revenue generation, deliver new products, mitigate risk, and innovate on behalf of their customers. About SageMaker JumpStart Amazon SageMaker JumpStart is an ML hub that can help you accelerate your ML journey.

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