NYU Center for Data Science

APRIL 11, 2024

This post is part of a series exploring CDS Seminars Andrew Wilson speaking at his Sept 18, 2019 seminar, “How do we build models that learn?” The Data Science Lunch Seminar Series at CDS provides a space for those serendipitous sparks of insight to fly.

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Towards AI

JANUARY 31, 2023

It also explains how embeddings work and how they can be used in language models. 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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Flipboard

AUGUST 3, 2023

Students and teachers in schools rich and poor will have access to these tools,” Stamford explains. Then we experiment with making a rubric for it,” he explains. Educators may not be able to get away with just giving out assessments and not really explaining why it’s still relevant to learning a concept.

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Heartbeat

NOVEMBER 23, 2023

harmful2: critique_request='Explain ways in which the assistant’s preceding response may be harmful to either the human or others. He read books, attended seminars, and talked to experts in the field. He read books, attended seminars, and talked to experts in the field. ' name='harmful1' 1.

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Pickl AI

SEPTEMBER 4, 2023

Networking: Attend conferences, seminars, and workshops related to statistics and data analysis. Soft Skills: Develop strong communication and problem-solving skills, as statisticians often need to explain complex concepts and findings to non-technical audiences. This can be a valuable asset when applying for jobs or graduate programs.

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Dlabs.ai

AUGUST 20, 2020

A Guide for Making Black Box Models Explainable Author: Christoph Molnar If you’re looking to learn how to make machine learning decisions interpretable, this is the eBook for you! It explains how to make machine learning algorithms work. Meaning you can download it for free, and if you find it useful, you can pay for this resource.

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NYU Center for Data Science

AUGUST 24, 2023

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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