Remove Data Science Remove Deep Learning Remove Seminar
article thumbnail

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?

article thumbnail

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.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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!”

article thumbnail

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.

article thumbnail

When Should AI Step Aside? Understanding Cultural Values in AI Systems

NYU Center for Data Science

CDS Faculty Fellow Umang Bhatt l eading a practical workshop on Responsible AI at Deep Learning Indaba 2023 in Accra In Uganda’s banking sector, AI models used for credit scoring systematically disadvantage citizens by relying on traditional Western financial metrics that don’t reflect local economic realities.

AI 50
article thumbnail

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.

article thumbnail

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.