On-Demand Learning Lab: Leveraging feature flags to enrich your Machine Learning model | Statsig

Platform

Developers

Resources

Sign In Book a Live Demo

Platform

Developers

Resources

Feature Management

Ship faster and more confidently with insights into the impact of your rollouts on business metrics

Experimentation

Run randomized, controlled, multivariate experiments to observe the impact of your rollouts

Data Warehouse

Seamlessly integrate Statsig's warehouse-native analytics with your existing infrastructure

Dynamic Configs

Dynamically manage your application's behavior for each user without deploying new code

Make your product and business as observable as all of your distributed systems

Always deliver a consistent user experience even when users don't see new features

Separate the signal from the noise and double down on the features that outperform

View your events, users, custom metrics, and all available unit types in one place with customizable views

Let your app's usage choose the optimal configuration with Statsig's automatic multi-armed bandit

Documentation

Documentation to get you started with implementation, completely self-servable

Walkthrough Guides

Guides to get you started on your first Experiment, all the way to advanced Holdouts

SDKs and APIs

Explore REST API and Open Source SDKs in more than 20 languages/frameworks

Open Source Code

All our SDKs and supporting libraries are Open Source and regularly updated

Integration

Learn more about running on the edge, or ingesting data from your Data warehouse

Product Updates

We ship fast, to help you ship faster. Check out all our product updates

How Statsig Works

Get under the hood and check out how Statsig scales with you, without compromising on reliability

Build vs. Buy

Looking to build your own? We understand, and we'll gladly help you build it

Experimentation Community

Have more technical questions? Join the experimentation community, we're there to answer your questions

Peak Velocity

The Statsig Blog. Peak Velocity covers the latest in experimentation, A/B testing and more

Customer Stories

Find out how leading companies are leveraging experimentation to achieve awesome results

A/B Testing Calculator

Looking for a place to start your A/B test? Try different combinations in our calculators

Feature Flags Liberated

Gating features is a core part of the development process. And with Statsig, it's free.

Optimizing AI Model Temp

Autotune can optimize model temperature for any apps that use language models.

What is Product Observability?

Product observability means being able to monitor, control, and gain insight into all of your features.

Experiments with Generative AI

We built a generative AI app in reactJS using OpenAI’s API and Statsig. Here’s what we learned:

Experimentation Platforms

The decision to build versus buy an experimentation and feature flagging platform is not an easy one.

CUPED Explained

CUPED is an implementation that uses pre-experiment data to explain the variance in the result data.

Platform

Developers

Resources

Sign In Book a Live Demo

Feature Management

Ship faster and more confidently with insights into the impact of your rollouts on business metrics

Experimentation

Run randomized, controlled, multivariate experiments to observe the impact of your rollouts

Data Warehouse

Seamlessly integrate Statsig's warehouse-native analytics with your existing infrastructure

Dynamic Configs

Dynamically manage your application's behavior for each user without deploying new code

Make your product and business as observable as all of your distributed systems

Always deliver a consistent user experience even when users don't see new features

Separate the signal from the noise and double down on the features that outperform

View your events, users, custom metrics, and all available unit types in one place with customizable views

Let your app's usage choose the optimal configuration with Statsig's automatic multi-armed bandit

Documentation

Documentation to get you started with implementation, completely self-servable

Walkthrough Guides

Guides to get you started on your first Experiment, all the way to advanced Holdouts

SDKs and APIs

Explore REST API and Open Source SDKs in more than 20 languages/frameworks

Open Source Code

All our SDKs and supporting libraries are Open Source and regularly updated

Integration

Learn more about running on the edge, or ingesting data from your Data warehouse

Product Updates

We ship fast, to help you ship faster. Check out all our product updates

How Statsig Works

Get under the hood and check out how Statsig scales with you, without compromising on reliability

Build vs. Buy

Looking to build your own? We understand, and we'll gladly help you build it

Experimentation Community

Have more technical questions? Join the experimentation community, we're there to answer your questions

Peak Velocity

The Statsig Blog. Peak Velocity covers the latest in experimentation, A/B testing and more

Customer Stories

Find out how leading companies are leveraging experimentation to achieve awesome results

A/B Testing Calculator

Looking for a place to start your A/B test? Try different combinations in our calculators

Feature Flags Liberated

Gating features is a core part of the development process. And with Statsig, it's free.

Optimizing AI Model Temp

Autotune can optimize model temperature for any apps that use language models.

What is Product Observability?

Product observability means being able to monitor, control, and gain insight into all of your features.

Experiments with Generative AI

We built a generative AI app in reactJS using OpenAI’s API and Statsig. Here’s what we learned:

Experimentation Platforms

The decision to build versus buy an experimentation and feature flagging platform is not an easy one.

CUPED Explained

CUPED is an implementation that uses pre-experiment data to explain the variance in the result data.

VIDEO

On-Demand Learning Lab: Leveraging feature flags to enrich your Machine Learning model

Wed Mar 29 2023

Morgan Scalzo

Community and Event Manager

This month kicked off our newest virtual event offering—Learning Labs. 🎉 This channel gives users a unique opportunity to dive deep into a niche topic and get a step-by-step walkthrough of how to implement a workflow into their current testing program.

If you’re interested in weaving machine learning into your feature flag infrastructure you’ll get insight into how this can be done within the Statsig console.

Learning Lab video: Leveraging feature flags to enrich your machine learning model

About this virtual meetup:

Level up your existing feature flag infrastructure with ML. Tyler VanHaren, Software Engineer at Statsig, walks through how to harness the power of machine learning with feature flags. We will cover how ML can be used to complement your current testing program as well as show how you can leverage feature flags to enrich your ML model. Enjoy this on-demand viewing and we hope you can join us live in the future!

Ready to try Statsig for free?

Permalink: https://www.statsig.com/blog/learning-lab-feature-flags-enrich-machine-learning-model

Try Statsig Today

Get started for free
Add your whole team!

On a big team? Contact Sales

Recent Posts

KNOWLEDGE CULTURE

Why people love Statsig’s customer support

Thanks to our support team, our customers can feel like Statsig is a part of their org and not just a software vendor. We want our customers to know that we're here for them.

What migrating experimentation platforms actually entails

Migrating experimentation platforms is a chance to cleanse tech debt, streamline workflows, define ownership, promote democratization of testing, educate teams, and more.

Understanding sample size

Calculating the right sample size means balancing the level of precision desired, the anticipated effect size, the statistical power of the experiment, and more.

Recency bias: The silent saboteur in statistics

The term 'recency bias' has been all over the statistics and data analysis world, stealthily skewing our interpretation of patterns and trends.

Early startup journey: Year two at Statsig

A lot has changed in the past year. New hires, new products, and a new office (or two!) GB Lee tells the tale alongside pictures and illustrations:

CUPED Explained

A deep dive into CUPED: Why it was invented, how it works, and how to use CUPED to run experiments faster and with less bias.

We use cookies to ensure you get the best experience on our website.

Privacy Policy