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CDS Speaker Seminar Series

NYU Center for Data Science

Organized by professors, faculty fellows, and PhD students, the speaker seminar series offers insight into topics from natural language processing to politics. To get a glimpse at what’s in store for this semester’s lectures, read about each seminar below.

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Banks are turning to AI—Pavel Baltabayev shows them how

Dataconomy

He later enrolled at the Higher School of Economics (HSE), one of Russias top universities, where he studied statistics, machine learning, and programming. He founded a summer mathematics seminar for high school students in his hometown, where he and his former classmates deliver lectures on mathematics.

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

NYU Center for Data Science

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies. Beyond research, ML² is also a hub for learning and collaboration. Looking Ahead The future of ML² is bright.

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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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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

Basics of Machine Learning. Machine learning is the science of building models automatically. Whereas in machine learning, the algorithm understands the data and creates the logic. Whereas in machine learning, the algorithm understands the data and creates the logic. Semi-Supervised Learning.

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Definite Guide to Building a Machine Learning Platform

The MLOps Blog

Moving across the typical machine learning lifecycle can be a nightmare. From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. What is a machine learning platform?

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Banks are turning to AI—Pavel Baltabaev shows them how

Dataconomy

He later enrolled at the Higher School of Economics (HSE), one of Russias top universities, where he studied statistics, machine learning, and programming. He founded a summer mathematics seminar for high school students in his hometown, where he and his former classmates deliver lectures on mathematics.

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