ODSC - Open Data Science

FEBRUARY 20, 2025

OpenAI, a company Musk co-founded in 2015, introduced its GPT-4-based model, the o1, last year, which showcased strong problem-solving abilities in coding, math, andscience. The company disclosed Tuesday that it had doubled its GPU cluster to 200,000 Nvidia units for Grok 3s training, up from 100,000 in2023. Whats Next?

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

phData

SEPTEMBER 20, 2023

We think those workloads fall into three broad categories: Data Science and Machine Learning – Data Scientists love Python, which makes Snowpark Python an ideal framework for machine learning development and deployment. phData has been working in data engineering since the inception of the company back in 2015.

SQL 98

SQL Python Data Lakes Machine Learning 98

Flipboard

NOVEMBER 24, 2023

Since joining SnapLogic in 2010, Greg has helped design and implement several key platform features including cluster processing, big data processing, the cloud architecture, and machine learning. He currently is working on Generative AI for data integration.

Database 155

Database AWS ETL SQL 155

AWS Machine Learning Blog

APRIL 18, 2023

per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, compared to $3,818,000, or $0.21

ML 97

ML ML Deep Learning Deep Learning 97

phData

MARCH 6, 2023

If you spend even a few minutes on KNIME’s website or browsing through their whitepapers and blog posts, you’ll notice a common theme: a strong emphasis on data science and predictive modeling. Predicting Crimes in Phoenix, Arizona We have a dataset containing nearly 400,000 crimes committed in Phoenix, Arizona between 2015 and 2021.

Decision Trees 52

Decision Trees Analytics Analytics Data Science 52

AWS Machine Learning Blog

JANUARY 13, 2023

They were admitted to one of 335 units at 208 hospitals located throughout the US between 2014–2015. Due to the underlying heterogeneity and distributed nature of the data, it provides an ideal real-world example to test this FL framework. Please follow the steps listed here to install wandb and setup monitoring for this solution.

AWS 101

AWS Analytics Analytics Machine Learning 101

AWS Machine Learning Blog

APRIL 18, 2023

per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, compared to $3,818,000, or $0.21

ML 52

ML ML Deep Learning Deep Learning 52

Pickl AI

AUGUST 22, 2024

Overview of TensorFlow TensorFlow , developed by Google Brain, is a robust and versatile deep learning framework that was introduced in 2015. Scalability TensorFlow can handle large datasets and scale to distributed clusters, making it suitable for training complex models.

Deep Learning 52

Deep Learning Deep Learning Machine Learning 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). And in Version 13.2 We’ve had “basic, raw NDSolve ” since 1991.

Python 181

Python Algorithm Machine Learning Machine Learning 181

DrivenData Labs

FEBRUARY 3, 2025

Most solvers were data science professionals, professors, and students, but there were also many data analysts, project managers, and people working in public health and healthcare. His journey in AI began in 2015 with a master's in computer vision for biomedical image analysis. Alejandro A.

Machine Learning 130

Machine Learning Machine Learning Data Science Natural Language Processing 130