ODSC - Open Data Science

SEPTEMBER 20, 2023

Using Graphs for Feature Engineering, Prompt Fine-Tuning for Generative AI, and Confident Data Science GraphReduce: Using Graphs for Feature Engineering Abstractions This tutorial demonstrates an example feature engineering process on an e-commerce schema and how GraphReduce deals with the complexity of feature engineering on the relational schema.

Data Science 98

Data Science AI AI Data Scientist 98

DataRobot

APRIL 27, 2021

Not only can the most experienced data scientist improve the way to get models into production but also the role of citizen data scientist can leverage the best practices and approaches in data science with DataRobot.

Machine Learning 98

Machine Learning Machine Learning Citizen Data Scientist Data Scientist 98

ODSC - Open Data Science

OCTOBER 19, 2023

Industry, Opinion, Career Advice The Tradeoff Between Complexity and Ground Truth in AI: What You Need to Know Here, we focus on ground truth in AI and what stakeholders need to know to be effective partners with data science teams. These scary good prices won’t last long! Register now for 30% off.

AI 97

AI AI Citizen Data Scientist Data Science 97

ODSC - Open Data Science

OCTOBER 5, 2023

Upcoming Webinars: Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering Thu, Oct 5, 2023 12:00 PM — 1:00 PM EDT Join dotData Sr. Data Scientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet.

Azure 52

Azure Artificial Intelligence Artificial Intelligence Machine Learning 52

ODSC - Open Data Science

SEPTEMBER 28, 2023

Discover how aspiring citizen data scientists, business analysts, data analysts, students, and data scientists can get hands-on and experiment with and work on tech development.

Data Scientist 52

Data Scientist AI AI Azure 52

Snorkel AI

JULY 3, 2023

Because of this, I’m always looking for ways to automate and improve our data pipelines. Data cleaning pipelines reduce the amount of time it takes to clean your data and can be shared and reused for different data science projects. I think it’s great for everybody to have data science knowledge that way.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Pipeline Machine Learning Machine Learning 52