Remove 2016 Remove AI Remove Supervised Learning
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Announcing the First Speakers for ODSC West 2025

ODSC - Open Data Science

We’re thrilled to introduce you to the leading experts and passionate data and AI practitioners who will be guiding you through an exploration of the latest in AI and data science at ODSC West 2025 this October 28th-30th! Cameron Turner is founder and CEO of TRUIFY.AI, serving the US Fortune 500 with AI solutions.

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Announcing the First Speakers for ODSC West 2025

ODSC - Open Data Science

We’re thrilled to introduce you to the leading experts and passionate data and AI practitioners who will be guiding you through an exploration of the latest in AI and data science at ODSC West 2025 this October 28th-30th! Cameron Turner is founder and CEO of TRUIFY.AI, serving the US Fortune 500 with AI solutions.

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How to tackle lack of data: an overview on transfer learning

Data Science Blog

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves. That is, is giving supervision to adjust via.

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AI 101: A beginner’s guide to the basics of artificial intelligence

Dataconomy

With the rise of AI-generated art and AI-powered chatbots like ChatGPT, it’s clear that artificial intelligence has become a ubiquitous part of our daily lives. These cutting-edge technologies have captured the public imagination, fueling speculation about the future of AI and its impact on society.

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Foundation models: a guide

Snorkel AI

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. Foundation models underpin generative AI capabilities, from text-generation to music creation to image generation. What is self-supervised learning? Find out in the guide below.

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Find Your AI Solutions at the ODSC West AI Expo

ODSC - Open Data Science

Here is the second half of our two-part series of companies changing the face of AI. AI is quickly scaling through dozens of industries as companies, non-profits, and governments are discovering the power of artificial intelligence. However, there are some critical differences between the two companies.

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The Hidden Cost of Poor Training Data in Machine Learning: Why Quality Matters

How to Learn Machine Learning

Real-Life Examples of Poor Training Data in Machine Learning Amazon’s Hiring Algorithm Disaster In 2018, Amazon made headlines for developing an AI-powered hiring tool to screen job applicants. Microsoft’s Tay Chatbot Misfire Microsoft launched an AI chatbot called Tay on Twitter in 2016. Sounds great, right?