NYU Center for Data Science

JULY 18, 2023

Their work specializes in signal processing and inverse problems, machine learning and deep learning, and high-dimensional statistics and probability. The group works on machine learning in a broad range of applications, predominately in computer perception, natural language understanding, robotics, and healthcare.

Data Science 81

Data Science Machine Learning Machine Learning Natural Language Processing 81

Flipboard

JULY 31, 2023

Importance and Role of Datasets in Machine Learning Data is king. Algorithms are important and require expert knowledge to develop and refine, but they would be useless without data. Datasets are to machine learning what fuel is to a car: they power the entire process. Object detection is useful for many applications (e.g.,

Machine Learning 123

Machine Learning Machine Learning Deep Learning Deep Learning 123

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. Yida Wang is a principal scientist in the AWS AI team of Amazon.

AWS 124

AWS Machine Learning Machine Learning Deep Learning 124

Dataconomy

JANUARY 24, 2024

KMS Technology KMS Technology is a pioneer in the AI sector in Vietnam, providing businesses with robust AI and machine learning solutions. Since its inception in 2009, KMS Technology has remained committed to delivering top-notch services in AI, data analytics, and software development.

AI 113

AI AI Predictive Analytics Machine Learning 113

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 99

Algorithm Clustering Machine Learning Machine Learning 99

AWS Machine Learning Blog

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. learning_rate – Controls the step size or learning rate of the optimization algorithm during training.

ML 78

ML ML Deep Learning Deep Learning 78

ODSC - Open Data Science

JUNE 5, 2023

2009, a paper by Postberg et al. Additionally, he applies Machine Learning algorithms to analyze astronomy- and space-related data to derive new scientific insights or to create new methods for calibrating instruments. Editor’s note: Dr.-Ing. Thomas Albin is a speaker for ODSC Europe this June 14th-15th. was published in Nature.

Python 85

Python Machine Learning Machine Learning Data Science 85