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Introducing the AI, Misinformation, and Policy Seminar Series

NYU Center for Data Science

As artificial intelligence technologies continue to enter the public domain, developing safe governance strategies and defining the ethical use of technology is both urgent and complex. To access the lecture slides, please visit Emily Saltz Lecture Slides. by Meryl Phair

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Banks are turning to AI—Pavel Baltabayev shows them how

Dataconomy

Artificial intelligence is already generating significant revenue for banks, and its future advancements promise even greater benefits. He later enrolled at the Higher School of Economics (HSE), one of Russias top universities, where he studied statistics, machine learning, and programming.

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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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How to Choose the Best Data Science Program

Pickl AI

Continuous Learning and Growth The field of Data Science is constantly evolving with new tools and technologies. Enrolling in a Data Science course keeps you updated on the latest advancements, such as machine learning algorithms and data visualisation techniques.

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Blending Theory and Utility: The Vision and Impact of CDS’s MaD Group

NYU Center for Data Science

The group, however, quickly became well-known for a seminar that still serves as its flagship: the MaD seminar. Bruna and the early organizers of the MaD group crafted this seminar to be a nexus of research on the theoretical foundations of data science and machine learning.

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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. In supervised learning, a variable is predicted. Deep Learning.

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Banks are turning to AI—Pavel Baltabaev shows them how

Dataconomy

Artificial intelligence is already generating significant revenue for banks, and its future advancements promise even greater benefits. He later enrolled at the Higher School of Economics (HSE), one of Russias top universities, where he studied statistics, machine learning, and programming.

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