Dataconomy

APRIL 3, 2025

With applications ranging from genomics to image processing, t-SNE helps bridge the gap between intricate data environments and actionable insights. t-SNE was developed by Laurens van der Maaten and Geoffrey Hinton in 2008 to visualize high-dimensional data. What is t-SNE (t-distributed stochastic neighbor embedding)?

Clustering 91

Clustering Exploratory Data Analysis Data Analysis Data Analysis 91

Towards AI

AUGUST 25, 2023

Machine learning (ML) is a subset of AI that provides computer systems the ability to automatically learn and improve from experience without being explicitly programmed. Deep learning (DL) is a subset of machine learning that uses neural networks which have a structure similar to the human neural system.

Machine Learning 98

Machine Learning Machine Learning AI AI 98

AWS Machine Learning Blog

APRIL 3, 2023

We also demonstrate how you can engineer prompts for Flan-T5 models to perform various natural language processing (NLP) tasks. Furthermore, these tasks can be performed with zero-shot learning, where a well-engineered prompt can guide the model towards desired results. encode("utf-8") client = boto3.client("runtime.sagemaker")

Natural Language Processing 89

Natural Language Processing Machine Learning Machine Learning Algorithm 89

AWS Machine Learning Blog

SEPTEMBER 23, 2024

This dataset contains 10 years (1999–2008) of clinical care data at 130 US hospitals and integrated delivery networks. James’s work covers a wide range of ML use cases, with a primary interest in computer vision, deep learning, and scaling ML across the enterprise. helping customers design and build AI/ML solutions.

ML 79

ML ML AWS Data Scientist 79

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 75

ML ML Deep Learning Deep Learning 75

AWS Machine Learning Blog

JANUARY 13, 2023

At the application level, such as computer vision, natural language processing, and data mining, data scientists and engineers only need to write the model, data, and trainer in the same way as a standalone program and then pass it to the FedMLRunner object to complete all the processes, as shown in the following code.

AWS 85

AWS Analytics Analytics Machine Learning 85

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Thirdly, the presence of GPUs enabled the labeled data to be processed. Together, these elements lead to the start of a period of dramatic progress in ML, with NN being redubbed deep learning. FP64 is used in HPC fields, such as the natural sciences and financial modeling, resulting in minimal rounding errors.

AWS 92

AWS ML ML Clustering 92