article thumbnail

New AI Applications Unlock the Value of AI

DataRobot

Perhaps you’re a data scientist who’s looking for ideas about how to get started with advanced time series forecasting , information about our expanded support for deep learning , or maybe just some ideas on how you can automate some of the data science tasks you dread.

article thumbnail

Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East…

ODSC - Open Data Science

With augmented analytics (and embedded insights), anyone can become a citizen data scientist, regardless of their advanced analytics expertise. Big Data and the Blue Economy Since the concept of the blue economy relies on managing and developing something so broad, utilizing big data may be necessary.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How to build reusable data cleaning pipelines with scikit-learn

Snorkel AI

AB : And in terms of your work, are you mostly using tabular data, and therefore you’re mostly building Scikit-Learn pipelines? Or do you end up using a lot of like deep learning models and so you need to figure out how to build a pipeline around that, maybe, or other frameworks there? How does that look for you?

article thumbnail

How to build reusable data cleaning pipelines with scikit-learn

Snorkel AI

AB : And in terms of your work, are you mostly using tabular data, and therefore you’re mostly building Scikit-Learn pipelines? Or do you end up using a lot of like deep learning models and so you need to figure out how to build a pipeline around that, maybe, or other frameworks there? How does that look for you?

article thumbnail

How to build reusable data cleaning pipelines with scikit-learn

Snorkel AI

AB : And in terms of your work, are you mostly using tabular data, and therefore you’re mostly building Scikit-Learn pipelines? Or do you end up using a lot of like deep learning models and so you need to figure out how to build a pipeline around that, maybe, or other frameworks there? How does that look for you?

article thumbnail

Build and evaluate machine learning models with advanced configurations using the SageMaker Canvas model leaderboard

AWS Machine Learning Blog

Amazon SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate machine learning (ML) predictions for their business needs. Deep learning algorithm: A multilayer perceptron (MLP) and feedforward artificial neural network.