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QR codes in AI and ML: Enhancing predictive analytics for business

Dataconomy

This article examines the important connection between QR codes and the domains of artificial intelligence (AI) and machine learning (ML), as well as how it affects the development of predictive analytics. Some of the methods used in ML include supervised learning, unsupervised learning, reinforcement learning, and deep learning.

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

Dataconomy

In this article, we’ll explore some of the fundamental concepts in artificial intelligence, from supervised and unsupervised learning to bias and fairness in AI. AI systems use a combination of algorithms, machine learning techniques, and data analytics to simulate human intelligence.

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GIS Machine Learning With R-An Overview.

Towards AI

We shall look at various types of machine learning algorithms such as decision trees, random forest, K nearest neighbor, and naïve Bayes and how you can call their libraries in R studios, including executing the code. R Studios and GIS In a previous article, I wrote about GIS and R., Load machine learning libraries.

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Mastering the Art of Prompt Fine-Tuning for Generative AI: Unleash the Full Potential

ODSC - Open Data Science

If you’re looking to write code, as the AI take on the persona of a computer science teacher and begin asking it questions. Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels! Get your pass today !

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What it’s Like to be a Prompt Engineer

ODSC - Open Data Science

Depending on the position, and company, it can require a strong understanding of natural language processing, computer science, linguistics, and software engineering. Learn from some of the leading minds who are pioneering the latest advancements in large language models. Get your pass today !

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AI Drug Discovery: How It’s Changing the Game

Becoming Human

In this article, we will explore how AI drug discovery is changing the industry. Unlike supervised and semi-supervised learning algorithms that can identify patterns only in structured data, DL models are capable of processing vast volumes of unstructured data and make more advanced predictions with little supervision from humans.

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What Is a Transformer Model?

Hacker News

Transformers made self-supervised learning possible, and AI jumped to warp speed,” said NVIDIA founder and CEO Jensen Huang in his keynote address this week at GTC. Transformers are in many cases replacing convolutional and recurrent neural networks (CNNs and RNNs), the most popular types of deep learning models just five years ago.