ODSC - Open Data Science

MARCH 13, 2023

Machine learning practitioners are often working with data at the beginning and during the full stack of things, so they see a lot of workflow/pipeline development, data wrangling, and data preparation.

Machine Learning 94

Machine Learning Machine Learning Data Wrangling Data Science 94

Becoming Human

MAY 15, 2023

There is a position called Data Analyst whose work is to analyze the historical data, and from that, they will derive some KPI s (Key Performance Indicators) for making any further calls. For Data Analysis you can focus on such topics as Feature Engineering , Data Wrangling , and EDA which is also known as Exploratory Data Analysis.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Towards AI

JUNE 27, 2023

Last Updated on July 7, 2023 by Editorial Team Author(s): Anirudh Mehta Originally published on Towards AI. To prepare the data for models, a data scientist often needs to transform, clean, and enrich the dataset. This section will focus on running transformations on our transaction data.

AWS 52

AWS Data Scientist Data Wrangling Data Preparation 52

Snorkel AI

APRIL 13, 2023

She presented “Ask Me Anything: How are Foundation Models Changing the Way We Build Software” at Snorkel AI’s Foundation Model Virtual Summit 2023. We can’t send private data such as medical records to an API, and therefore we need small open-source models to improve the feasibility of our proposal.

Data Wrangling 52

Data Wrangling Machine Learning Machine Learning ML 52

Snorkel AI

APRIL 13, 2023

She presented “Ask Me Anything: How are Foundation Models Changing the Way We Build Software” at Snorkel AI’s Foundation Model Virtual Summit 2023. We can’t send private data such as medical records to an API, and therefore we need small open-source models to improve the feasibility of our proposal.

Data Wrangling 52

Data Wrangling Machine Learning Machine Learning ML 52

ODSC - Open Data Science

JANUARY 29, 2024

Fine-tuning is important for applying domain-specific knowledge to an existing LLM which provides better performance and prompt results Inference Efficiency An emergent skill in late 2023, its inclusion speaks to its importance. Stable Diffusion seems favored, perhaps due to it being largely an open-source model.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

The MLOps Blog

OCTOBER 20, 2023

Example template for an exploratory notebook | Source: Author How to organize code in Jupyter notebook For exploratory tasks, the code to produce SQL queries, pandas data wrangling, or create plots is not important for readers. in a pandas DataFrame) but in the company’s data warehouse (e.g., documentation.

SQL 52

SQL Database Data Scientist Python 52