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Meet the Fellow: Berfin ?im?ek

NYU Center for Data Science

In winter 2023, Berfin attended the Theoretical Physics for Machine Learning Conference in Aspen Center for Physics. In fall 2022, Berfin presented a poster at the Spin Glass Workshop , a seminar which brings together researchers interested in spin glasses and related topics. I am thrilled to be taking part!”

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Spatial Intelligence: Why GIS Practitioners Should Embrace Machine Learning- How to Get Started.

Towards AI

Deep learning multiple– layer artificial neural networks are the basis of deep learning, a subdivision of machine learning (hence the word “deep”). This will also expose you to current and timely information as machine learning is an ever-evolving topic.

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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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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

Deep Learning. Deep learning is a subset of machine learning that works similar to the biological brain. Use deep learning when the number of variables (columns) is high. Deep learning is used for speech recognition, board games AI, image recognition, and manipulation. Ensembling.

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This AI newsletter is all you need #32

Towards AI

Manipulating Tensors in PyTorch PyTorch is a deep-learning library that operates on numerical arrays known as tensors. Upcoming Community Events The Learn AI Together Discord community hosts weekly AI seminars to help the community learn from industry experts, ask questions, and get a deeper insight into the latest research in AI.

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An Analysis of the Loss Functions in Keras CV Tutorials

Heartbeat

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! The sequential model API allows you to create a deep learning model where the sequential class is created, and then you add layers to it.

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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.