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XAI: Accuracy vs Interpretability for Credit-Related Models

Analytics Vidhya

Introduction The global financial crisis of 2007 has had a long-lasting effect on the economies of many countries. In the epic financial and economic collapse, many lost their jobs, savings, and much more. When too much risk is restricted to very few players, it is considered as a notable failure of the risk management framework. […].

Modeling 395
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Scikit-Learn For Machine Learning Application Development In Python

Smart Data Collective

Python is arguably the best programming language for machine learning. However, many aspiring machine learning developers don’t know where to start. They should look into the scikit-learn library, which is one of the best for developing machine learning applications. Installation of scikit-learn.

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MongoDB Enhances Developer Data Platform

David Menninger's Analyst Perspectives

MongoDB was founded in 2007 and has established itself as one of the most prominent NoSQL database providers with its document-oriented database and associated cloud services. Although well-established as a developer data platform provider, MongoDB continues to add product experience functionality to compete with more established rivals.

Data Lake 130
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LexisNexis rises to the generative AI challenge

CIO Business Intelligence

When Reihl joined LexisNexis in 2007, roughly half of the company’s infrastructure, including its core platform, was based on the mainframe. But perhaps the biggest benefit has been LexisNexis’ ability to swiftly embrace machine learning and LLMs in its own generative AI applications. In total, LexisNexis spent $1.4

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A Planning Center of Excellence Delivers Performance Improvement

David Menninger's Analyst Perspectives

Integrated business planning is a term I coined back in 2007 to describe a rapid, collaborative, high-participation process that brings together operational and financial planning using a planning software platform to connect the disparate planning activities that happen in an enterprise.

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BI Data Lineage Solutions: Your Trusted Guide For Success

Octopai

Your Guide to Machine Learning Data Lineage for BI: From Source to Target. One example is the lineage methods that the banking industry has adopted to comply with regulations put in place following the 2007 financial collapse. For others, it is essential to meeting crucial industry regulations.

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Using Machine Learning for Sentiment Analysis: a Deep Dive

DataRobot Blog

The Amazon Product Reviews Dataset provides over 142 million Amazon product reviews with their associated metadata, allowing machine learning practitioners to train sentiment models using product ratings as a proxy for the sentiment label. It provides 1.6 Sentiment analysis, a baseline method.