NYU Center for Data Science

MARCH 23, 2023

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

Data Science 70

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 70

NYU Center for Data Science

AUGUST 24, 2023

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.

Neural Network 75

Neural Network Data Science Machine Learning Explainability 75

Towards AI

APRIL 7, 2024

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.

Machine Learning 85

Machine Learning Neural Network Convolutional Neural Networks Deep Learning 85

Heartbeat

MARCH 21, 2023

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.

Computer Vision 52

Computer Vision Categorization Deep Learning Machine Learning 52

Pickl AI

SEPTEMBER 4, 2023

Clean and preprocess data to ensure its quality and reliability. Statistical Analysis: Apply statistical techniques to analyse data, including descriptive statistics, hypothesis testing, regression analysis, and machine learning algorithms. This can be a valuable asset when applying for jobs or graduate programs.

Data Analysis 52

Data Analysis Machine Learning Python Continuous Learning 52

Heartbeat

JULY 11, 2023

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.

NLP 40

NLP Natural Language Processing Chatbots Algorithm 40

Heartbeat

MAY 11, 2023

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 algorithm for selecting layers in the model quantizes certain parts to minimize loss of information while ensuring a balance between latency and accuracy.

Computer Vision 75

Computer Vision Deep Learning Data Scientist ML 75