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

ODSC - Open Data Science

JANUARY 29, 2024

They design intricate sequences of prompts, leveraging their knowledge of AI, machine learning, and data science to guide powerful LLMs (Large Language Models) towards complex tasks. Thus while crafting clever prompts for chatbots might be part of the picture, the prompt engineer role is far more intricate.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Snorkel AI

APRIL 13, 2023

Simran Arora is a machine learning researcher at Stanford University. Foundation models are models that have been trained on diverse, massive amounts of data—for instance, hundreds of billions of tokens from the internet. These models are trained in a general manner rather than for specific downstream machine learning tasks.

Data Wrangling 52

Data Wrangling Machine Learning Machine Learning ML 52

Snorkel AI

APRIL 13, 2023

Simran Arora is a machine learning researcher at Stanford University. Foundation models are models that have been trained on diverse, massive amounts of data—for instance, hundreds of billions of tokens from the internet. These models are trained in a general manner rather than for specific downstream machine learning tasks.

Data Wrangling 52

Data Wrangling Machine Learning Machine Learning ML 52

Towards AI

JUNE 27, 2023

To prepare the data for models, a data scientist often needs to transform, clean, and enrich the dataset. Fortunately, SageMaker’s data-wrangling capabilities allow data scientists to quickly and efficiently transform and review the transformed data.

AWS 52

AWS Data Scientist Data Wrangling Data Preparation 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

The Data Administration Newsletter

FEBRUARY 19, 2025

Data often arrives from multiple sources in inconsistent forms, including duplicate entries from CRM systems, incomplete spreadsheet records, and mismatched naming conventions across databases. Data […] These issues slow analysis pipelines and demand time-consuming cleanup.

Data Preparation 52

Data Preparation Machine Learning Machine Learning Database 52

AWS Machine Learning Blog

MARCH 27, 2025

When implementing machine learning (ML) workflows in Amazon SageMaker Canvas , organizations might need to consider external dependencies required for their specific use cases. Without writing a single line of code, users can explore datasets, transform data, build models, and generate predictions.

Python 104

Python Machine Learning Machine Learning ML 104

ODSC - Open Data Science

MARCH 18, 2025

As the author of Deep Learning Illustrated, a #1 bestseller translated into seven languages, and an Oxford PhD with over a decade of machine learning research, Jon brings unparalleled expertise to thestage. Before Arize, Amber was a Product Manager of AI/ML at Splunk and Head of Artificial Intelligence at Insight Data Science.

Data Science 64

Data Science Machine Learning Machine Learning Data Scientist 64