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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

What is data science? Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. These data models predict outcomes of new data. Where to start?

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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

With the emergence of ARCGISpro which will replace ArcMap by 2026 mainly focusing on data science and machine learning, all the signs that machine learning is the future of GIS and you might have to learn some principles of data science, but where do you start, let us have a look.

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

NYU Center for Data Science

Building on this momentum is a dynamic research group at the heart of CDS called the Machine Learning and Language (ML²) group. This collaborative atmosphere, combined with individual lab meetings and the broader ML² seminars, fostered a culture of continuous learning and knowledge sharing.

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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.

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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 searched far and wide for the best and brightest minds in AI and eventually assembled a team of engineers, data scientists, and business strategists.

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