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This AI newsletter is all you need #31

Towards AI

After the success of our new livestream Events format in our 36,000-member Learn AI Together Discord community, we are very excited to announce our new open platform for AI video and audio content contributors. This has helped contributors grow their reputation, reach and audience in the AI community.

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Sentiment Analysis Using ELECTRA

Heartbeat

Sentiment analysis is now more crucial than ever for companies and organizations to understand customer opinions and feedback in light of the growth of social media and online customer evaluations. Image from: [link] Implementation In this section, we will walk through the steps involved in implementing sentiment analysis using ELECTRA.

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Custom Video Classification Using YOLOv8

Heartbeat

Scroll down to the YouTube section. Editor’s Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners. We pay our contributors, and we don’t sell ads. And then enable it.

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Revolutionizing Healthcare Using Machine Learning

Heartbeat

The following sections will explore the various applications and impacts of machine learning in healthcare diagnosis in greater detail. CAD systems analyze images, identify areas of concern, and provide automated assessments, serving as a valuable second opinion for radiologists. We pay our contributors, and we don't sell ads.

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Building a Social Media Sentiment Analyzer: Understanding Emotions in Online Conversations

Heartbeat

Photo by Alexander Shatov on Unsplash In today’s digitally interconnected world, where online conversations shape public opinions, understanding the underlying sentiments in social media interactions is paramount. It is a powerful tool for gauging public opinion and adapting strategies accordingly. Setting up the environment.

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Sentiment Analysis with Python and Streamlit

Heartbeat

Political Analysis: It can also be used to track and analyze public opinion on political issues, candidates, or parties, and help political organizations make more informed decisions. In this section, you will see a step-by-step implementation of Reddit political threads sentiment analysis. The entire code can be found here.

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Evaluation Derangement Syndrome (EDS) in the GPU-poor’s GenAI. Part 1: the case for Evaluation-Driven Development

deepsense.ai

The main contributors to the GenAI revolution (the GPU-rich) have a proper way of evaluating GenAI (see HFRL section), but no incentives to develop or share alternatives for those who cannot afford it. In this section, we’ll delve into the ‘hard’/technical factors behind EDS in Generative AI.