Flipboard

JUNE 16, 2025

“I’ve seen demos where agents can do EDA, generate train-test sets, build models, and write documentation—all with very little human intervention,” Debarag Banerjee said. That future, where something like Project Cyclops is 90% agent-driven, would be wonderful.”

EDA 72

EDA Machine Learning AI AI 72

Flipboard

JUNE 16, 2025

EDA: Know Your Data Here’s where my fintech background became my superpower, and I approached this like any other credit risk problem. Many people get intimidated by large datasets and think they need big cloud instances. You can start a project locally by sampling a portion of the dataset and examining the sample first.

Machine Learning 124

Machine Learning Machine Learning Data Science Artificial Intelligence 124

IBM Journey to AI blog

JANUARY 8, 2024

Becoming a real-time enterprise Businesses often go on a journey that traverses several stages of maturity when they establish an EDA. As a result, organizations that become more event-driven are able to better differentiate themselves from competitors and ultimately impact their top and bottom lines.

EDA 92

EDA Apache Kafka Clustering Data Governance 92

IBM Journey to AI blog

FEBRUARY 12, 2024

Recognizing the need to harness real-time data, businesses are increasingly turning to event-driven architecture (EDA) as a strategic approach to stay ahead of the curve. While most enterprises have already recognized how Apache Kafka provides a strong foundation for EDA, they often fall behind in unlocking its true potential.

Apache Kafka 100

Apache Kafka EDA SQL Database 100

Smart Data Collective

MARCH 9, 2021

Mito was specifically designed with all three of our EDA desires in mind! This leads to a tool where you can easily see and interact with your data through a point and click environment, but one where you can also use code to extend your analysis if Mito doesn’t support a specific part of your EDA process. So, what is Mito?

Data Science 138

Data Science Power BI EDA Python 138

Towards AI

JUNE 25, 2024

All you need to do is import them to where they are needed, like below - my-project/ - EDA-demo.ipynb - spark_utils.py # then in EDA-demo.ipynbimport spark_utils as sut I plan to share these helpful pySpark functions in a series of articles. We will use this table to demo and test our custom functions. Let’s get started.

ML 75

ML ML EDA Data Wrangling 75

ODSC - Open Data Science

APRIL 29, 2023

You’ll discuss some of the common pain points for Pandas DataFrame when used for EDA (Exploratory Data Analysis), and how Kangas helps solve them. Conclusion To meet one-on-one with representatives from these organizations, join us at the AI Expo and Demo Hall with a free AI Expo pass, and visit them at their booth.

Data Science 52

Data Science Exploratory Data Analysis AI AI 52