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xECGArch: A Multi-Scale Convolutional Neural Network CNN for Accurate and Interpretable Atrial Fibrillation Detection in ECG Analysis

Marktechpost

Explainable AI (xAI) methods, such as saliency maps and attention mechanisms, attempt to clarify these models by highlighting key ECG features. xECGArch uniquely separates short-term (morphological) and long-term (rhythmic) ECG features using two independent Convolutional Neural Networks CNNs. Check out the Paper.

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Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? Deep learning teaches computers to process data the way the human brain does.

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What is Data-driven vs AI-driven Practices?

Pickl AI

For instance, in retail, AI models can be generated using customer data to offer real-time personalised experiences and drive higher customer engagement, consequently resulting in more sales. Aggregated, these methods will illustrate how data-driven, explainable AI empowers businesses to improve efficiency and unlock new growth paths.

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20 Best Artificial Intelligence Books For Beginners in 2025

Pickl AI

We aim to guide readers in choosing the best resources to kickstart their AI learning journey effectively. From neural networks to real-world AI applications, explore a range of subjects. Its divided into foundational mathematics, practical implementation, and exploring neural networks’ inner workings.

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Where AI is headed in the next 5 years?

Pickl AI

Machine Learning and Neural Networks (1990s-2000s): Machine Learning (ML) became a focal point, enabling systems to learn from data and improve performance without explicit programming. Techniques such as decision trees, support vector machines, and neural networks gained popularity.

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15 Artificial Intelligence (AI) And Machine Learning-Related Subreddit Communities in 2023

Marktechpost

r/neuralnetworks The Subreddit is about Deep Learning, Artificial Neural Networks, and Machine Learning. members and is a great place to learn more about the latest AI. It has over 37.4k members and has active discussions on various ML topics. It is a place for beginners to ask stupid questions and for experts to help them!

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15 Essential Artificial Intelligence Interview Questions for 2024

Pickl AI

Read More: Big Data and Artificial Intelligence: How They Work Together? 15 AI Interview Questions and Answers Interview questions for Artificial Intelligence positions often delve into a wide range of topics, from fundamental principles to cutting-edge techniques. Explain The Concept of Supervised and Unsupervised Learning.