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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

Basics of Machine Learning. Machine learning is the science of building models automatically. It is a branch of artificial intelligence. Whereas in machine learning, the algorithm understands the data and creates the logic. Deep Learning. Use deep learning techniques for image recognition.

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Machine Learning and Language (ML²) at CDS: Moving NLP Forward

NYU Center for Data Science

This collaborative atmosphere, combined with individual lab meetings and the broader ML² seminars, fostered a culture of continuous learning and knowledge sharing. Cho’s work on building attention mechanisms within deep learning models has been seminal in the field.

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This AI newsletter is all you need #32

Towards AI

Three 5-minute reads/videos to keep you learning 1.A A Brief History of Artificial Intelligence This article explores the rich history and evolution of AI, from its early origins to the current ethical debates surrounding its development.

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Introducing ?YOLO-NAS: A New State-of-the-Art for Object Detection

Heartbeat

But just because we have all these YOLOs doesn’t mean that deep learning for object detection is a dormant area of research. Listen to our own CEO Gideon Mendels chat with the Stanford MLSys Seminar Series team about the future of MLOps and give the Comet platform a try for free ! Innovation and academia go hand-in-hand.

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The Ultimate Guide to LLMs and NLP for Content Marketing

Heartbeat

Artificial intelligence (AI) has a subject called natural language processing (NLP) that focuses on how computers and human language interact. The study of artificial intelligence (AI)’s Natural Language Processing (NLP) subfield is concerned with how computers and human language interact.

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Using Self-Critiquing Chains in LangChain

Heartbeat

He was determined to make it happen, so he set out on a journey to learn all he could about the technology. He read books, attended seminars, and talked to experts in the field. He was determined to make it happen, so he set out on a journey to learn all he could about the technology.

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What are some ethical considerations when using Generative AI

Dataconomy

Understanding generative AI Generative AI, a subset of artificial intelligence, is revolutionizing numerous industries by creating new content autonomously. This technology, which leverages machine learning algorithms to generate text, images, music, and even code, is becoming an integral part of our digital landscape.

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