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Introducing the AI, Misinformation, and Policy Seminar Series

NYU Center for Data Science

The speaker series features researchers applying data science to online misinformation The prevalence of misinformation in online ecosystems has become a significant concern for data science researchers and policymakers. To access the lecture slides, please visit Emily Saltz Lecture Slides. by Meryl Phair

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How to Choose the Best Data Science Program

Pickl AI

Summary: Choosing the right Data Science program is essential for career success. Introduction Choosing the right Data Science program is a crucial step for anyone looking to enter or advance in this rapidly evolving field. Key Takeaways Over 25,000 Data Science positions available across various industries.

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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. Data scientists use algorithms for creating data models.

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

NYU Center for Data Science

Some people want both, and those people, if attending NYU, join the Math and Data research group at the Center for Data Science (CDS) , which, thanks to the ever-broader applicability of AI, is now working on some of the most important problems currently facing humanity. This is an enormously complex — and ambitious — endeavor.

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Spatial Intelligence: Why GIS Practitioners Should Embrace Machine Learning- How to Get Started.

Towards AI

Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with you as a simple GIS analyst? For example, it takes millions of images and runs them through a training algorithm.

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An Analysis of the Loss Functions in Keras CV Tutorials

Heartbeat

I was interested to see what types of problems were solved and which particular algorithms were used with the different loss functions. I decided that aggregating this data would give me a rough idea about what loss functions were commonly being used to solve the different problems. Innovation and academia go hand-in-hand.

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The Ultimate Guide to LLMs and NLP for Content Marketing

Heartbeat

It entails creating and using algorithms and methods to provide computers with the ability to recognize, decipher, and produce human language in a natural and meaningful manner. Having the ability to analyze and understand textual data at scale thanks to natural language processing (NLP), enterprises may play a big role in content marketing.