Tecton

Blog: Page 5

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FanDuel Leverages Tecton’s Feature Platform for a Winning Machine Learning Strategy

April 19, 2023

FanDuel, the premier online gaming company in North America, shared at why and how they adopted Tecton to power their ML models and data-driven applications.

What is online / offline skew in machine learning?

April 5, 2023

The online/offline skew (aka the training/serving skew) is one of the biggest challenges in machine learning. Learn how you can reduce skew in this post.

A Closer Look at the Latest Feature Engineering Workflow Improvements in Tecton 0.6

March 31, 2023

Tecton 0.6 makes it easier to iterate on feature engineering workflows by providing a number of capabilities that make it easier to develop, test, and deploy ML features.

How to Integrate With Tecton

March 29, 2023

Learn how to seamlessly integrate your existing data infrastructure with Tecton to leverage powerful feature platform capabilities.

Why You Need a Feature Platform for Data Product Iteration

March 22, 2023

Iteration is a crucial part of any product development lifecycle and can be very complex when it comes to data products. See how a good feature platform can help.

Notebook-Driven Development with Tecton 0.6: Combating Fraud and Optimizing Dynamic Pricing

March 20, 2023

Notebook-driven development is a flexible and efficient approach that enables data scientists, ML engineers, and data engineers to define features in Python notebooks while constructing ML models.

5 Signs You Need a Feature Platform

March 17, 2023

Discover if your ML team should be using a feature platform. Learn how a feature platform can help streamline your ML pipeline, improve model accuracy, and increase team collaboration.

Tecton 0.6 Enables Data Teams to Improve Iteration Speed When Building Batch, Streaming & Real-Time Features

March 15, 2023

The 0.6 release aims to provide a seamless transition from notebook development to production, the first feature platform to offer this capability

Machine Learning Recommender Systems: 4 Key Insights From apply(recsys)

February 13, 2023

Recommender systems are a widespread use case for machine learning. In this post, we summarize four major takeaways from apply(recsys) that any team interested in rec(sys) should keep in mind.

Request a Demo

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

CTA link

or

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Contact Sales

Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

CTA link

or

CTA button

Request a free trial

Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

CTA link

or

CTA button