ODSC - Open Data Science

MARCH 18, 2025

With over 30 years in techincluding key roles at Hugging Face, AWS, and as a startup CTOhe brings unparalleled expertise in cloud computing and machine learning. A published author on AI and large language models, she shares her expertise through insightful articles and technical writing. Julien Simon, Chief Evangelist atArcee.ai

Data Science 64

Data Science Machine Learning Machine Learning Data Scientist 64

ODSC - Open Data Science

JANUARY 18, 2024

Data scientists typically have strong skills in areas such as Python, R, statistics, machine learning, and data analysis. Believe it or not, these skills are valuable in data engineering for data wrangling, model deployment, and understanding data pipelines. First, articles.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Mlearning.ai

JULY 9, 2023

Goal The objective of this post is to demonstrate how Polars performance is much better than other open-source libraries in a variety of data analysis tasks, such as data cleaning, data wrangling, and data visualization. ? Contributions welcome ! ?Acknowledgments

Data Analysis 52

Data Analysis Data Analysis Python Data Scientist 52

ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” Additionally, prompt engineering relies heavily on machine learning tasks like fine-tuning, bias detection, and performance evaluation.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Pickl AI

NOVEMBER 21, 2024

Summary: This article discusses the interoperability of Python, MATLAB, and R, emphasising their unique strengths in Data Science, Engineering, and Statistical Analysis. It highlights the importance of combining these languages for efficient workflows while addressing challenges such as data compatibility and performance bottlenecks.

Python 52

Python Cloud Computing Machine Learning Machine Learning 52

Pickl AI

JULY 20, 2023

Text Analytics and Natural Language Processing (NLP) Projects: These projects involve analyzing unstructured text data, such as customer reviews, social media posts, emails, and news articles. NLP techniques help extract insights, sentiment analysis, and topic modeling from text data.

Analytics 40

Analytics Analytics Big Data Big Data 40

The MLOps Blog

OCTOBER 20, 2023

Nevertheless, many data scientists will agree that they can be really valuable – if used well. And that’s what we’re going to focus on in this article, which is the second in my series on Software Patterns for Data Science & ML Engineering. There are some outspoken critics , as well as passionate fans. documentation.

SQL 52

SQL Database Data Scientist Python 52

Heartbeat

DECEMBER 27, 2023

Photo by Ian Taylor on Unsplash This article will comprehensively create, deploy, and execute machine learning application containers using the Docker tool. The article will contain hands-on sessions with practical coding examples as a use case. ', port = port) Our flask app — app.py

Machine Learning 52

Machine Learning Machine Learning Python ML 52