Heartbeat

SEPTEMBER 13, 2023

Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). This guide will buttress explainability in machine learning and AI systems. What is Explainability?

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Heartbeat

FEBRUARY 14, 2024

Traditional machine learning for sentiment analysis employs algorithms trained on labeled datasets to categorize text sentiments as positive, negative, or neutral based on learned patterns. Contextual ambiguity, stemming from language nuances and context-dependent meanings, poses a hurdle in accurately determining sentiments.

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phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Much of what is discussed in this guide will assume some level of analytics strategy has been considered and/or defined. No problem!

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. In this post, we deep dive into the technical details of this ML model.

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AWS Machine Learning Blog

JANUARY 13, 2023

This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. Deploying an FL framework on the cloud has several challenges.

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Heartbeat

DECEMBER 13, 2023

Want to learn how to build modern software with LLMs using the newest tools and techniques in the field? How to Create and Implement Custom Tools in LangChain Photo by Todd Quackenbush on Unsplash Preliminaries %%capture !pip Automation: Custom tools enable you to automate repetitive tasks or workflows.

Deep Learning 52

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DrivenData Labs

DECEMBER 10, 2023

McLarney, Digital Transformation Lead for Artificial Intelligence and Machine Learning, NASA Background ¶ Information overload is real. We are very interested in how AI-based research assistants can help NASA, and we received a diverse variety of cutting-edge AI approaches from around the globe in the Research Rovers challenge.

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