AWS Machine Learning Blog

NOVEMBER 19, 2024

Explore the model pre-training workflow from start to finish, including setting up clusters, troubleshooting convergence issues, and running distributed training to improve model performance. Learn best practices and insider tips to optimize your data science workflow and accelerate your ML journey using the SageMaker Python SDK.

AWS 111

AWS ML ML AI 111

phData

SEPTEMBER 20, 2023

Snowpark is the set of libraries and runtimes in Snowflake that securely deploy and process non-SQL code, including Python , Java, and Scala. On the server side, runtimes include Python, Java, and Scala in the warehouse model or Snowpark Container Services (private preview). Why is Snowpark Exciting to us?

SQL 98

SQL Python Data Lakes Machine Learning 98

AWS Machine Learning Blog

OCTOBER 5, 2023

Our high-level training procedure is as follows: for our training environment, we use a multi-instance cluster managed by the SLURM system for distributed training and scheduling under the NeMo framework. From 2015–2018, he worked as a program director at the US NSF in charge of its big data program. Youngsuk Park is a Sr.

AWS 130

AWS Machine Learning Machine Learning Deep Learning 130

AWS Machine Learning Blog

OCTOBER 20, 2023

Meesho was founded in 2015 and today focuses on buyers and sellers across India. We used Dask—a distributed data science computing framework that natively integrates with Python libraries—on Amazon EMR to scale out the training jobs across the cluster. One of the major challenges was to run distributed training at scale.

AWS 126

AWS Data Scientist ML ML 126

Pickl AI

JANUARY 23, 2023

It supports languages like Python and R and processes the data with the help of data flow graphs. It is an open-source framework that is written in Python and can efficiently operate on both GPUs and CPUs. Keras supports a high-level neural network API written in Python. It is an open source framework.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., 2015; Huang et al., 2015), which consists of 20 object categories with varying levels of complexity. 2012; Otsu, 1979; Long et al., 2018; Pang et al.,

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

Hacker News

JANUARY 9, 2024

One very simple example (introduced in 2015) is Nothing : Another, introduced in 2020, is Splice : An old chestnut of Wolfram Language design concerns the way infinite evaluation loops are handled. but with things like clustering). There’s one setup for interpreted languages like Python. Let’s start with Python.

Python 181

Python Algorithm Machine Learning Machine Learning 181