NYU Center for Data Science

JULY 18, 2023

And how can we best use insights from natural intelligence to develop new, more powerful machine intelligence technologies that more fruitfully interact with us?” The group works on machine learning in a broad range of applications, predominately in computer perception, natural language understanding, robotics, and healthcare.

Data Science 98

Data Science Machine Learning Machine Learning Natural Language Processing 98

AWS Machine Learning Blog

JANUARY 30, 2023

Amazon SageMaker provides a suite of built-in algorithms , pre-trained models , and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning.

Algorithm 103

Algorithm Clustering Machine Learning Machine Learning 103

AWS Machine Learning Blog

OCTOBER 5, 2023

Xin Huang is a Senior Applied Scientist for Amazon SageMaker JumpStart and Amazon SageMaker built-in algorithms. He focuses on developing scalable machine learning algorithms. He was a recipient of the NSF Faculty Early Career Development Award in 2009. He founded StylingAI Inc.,

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AWS Machine Learning Machine Learning Deep Learning 126

Dataconomy

JANUARY 24, 2024

The company is renowned for its deep understanding of machine learning and natural language processing technologies, providing practical AI solutions tailored to businesses’ unique needs. Their team of AI experts excels in creating algorithms for deep learning, predictive analytics, and automation.

AI 113

AI AI Predictive Analytics Machine Learning 113

AWS Machine Learning Blog

APRIL 18, 2023

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the field with their incredible abilities to generate text, analyze sentiment, translate languages, and much more.

ML 96

ML ML Deep Learning Deep Learning 96

AWS Machine Learning Blog

APRIL 18, 2023

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the field with their incredible abilities to generate text, analyze sentiment, translate languages, and much more.

ML 52

ML ML Deep Learning Deep Learning 52

DagsHub

DECEMBER 23, 2024

For instance, given a certain sample if the active learning algorithm is uncertain about the correct response it can send the sample to the human annotator. Key Characteristics Synthetic Data Generation : Query synthesis algorithms actively generate new training examples rather than selecting from an existing pool.

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Deep Learning Deep Learning Supervised Learning Clustering 52