Showing 20 of 636 URL(s)
(Page 10 of 32)
You Have Too Many Metrics
Metrics can be incredibly powerful. But you have too many of them.
Let’s talk about how and when to use metrics.
The Golden Rule
The golden rule of metrics is this: any metric you maintain should directly drive action if outside expected bounds.
The reason this is an important rule is:
- Metrics are...
💡 Top Recommendations:
Incorporating Listing Descriptions into the Zestimate
Incorporating Listing Descriptions into the Zestimate
Zillow 2022 AI Forum
Zillow 2022 AI Forum
“Freshly painted and immaculately clean. Easy to move right in and enjoy the neighborhood. Newer Roof, Appliances, HVAC, A/C and Garage. Open and bright floorplan. Covered front porch overlooks raised gar...
💡 Top Recommendations:
Identifying High-Intent Buyers
Identifying High-Intent Buyers
Zillow 2022 AI Forum
Zillow 2022 AI Forum
The Zillow® website is visited monthly by tens of millions of customers. Some arrive after typing a home address into a search engine. Others might be frequent and highly engaged users with the Zillow app installed on their pho...
💡 Top Recommendations:
How Zillow Data Science Measures Business Outcomes with Bayesian Statistics
In the Transaction & Engagement Analytics team at Zillow, our mission is to use data to uncover new strategic directions and optimize ongoing initiatives. We are the owners and stewards of metrics around customer interactions, including connections, when a home buyer or seller is connected with a re...
💡 Top Recommendations:
Serving Machine Learning Models Efficiently at Scale at Zillow
Serving Machine Learning Models Efficiently at Scale at Zillow
Zillow 2022 AI Forum
Zillow 2022 AI Forum
Zillow was founded with a goal of “turning on the lights” for consumers, and it continues as a core value of the company today. Our mission is to give people the power to unlock life’s next chapt...
💡 Top Recommendations:
Helping Users Discover Their Dream Homes Through Home Insights Collections
At Zillow Group, we strive to delight each and every user with the most personalized home discovery experience. Some users might focus their search on the number of bedrooms, square footage, or location. Others might dream of that newly remodeled kitchen with quartz countertops and a chef stove, or ...
💡 Top Recommendations:
Building the Neural Zestimate
Zillow’s signature home valuation tool — the Zestimate — is a powerful starting point in determining a home’s value. Since its launch in February 2006, the Zestimate has evolved from providing 40 million homes with an estimated home value updated monthly to covering more than 100 million homes in th...
💡 Top Recommendations:
Navigating Fair Housing Guardrails in LLMs
Introduction
Zillow has been at the forefront of applying artificial intelligence (AI) in the real-estate domain since the release of the first Zestimate model in 2006. By staying true to our core value of “Turn On The Lights”, we have helped tens of millions of home-owners and buyers understand the...
💡 Top Recommendations:
Imputing Data for the Zestimate
In this article we show how we improved the performance of the Zestimate with a de-noising, autoencoder imputation model.
At Zillow we are sitting on a treasure trove of housing data. Our data is collected from multiple sources spanning all regions of the USA. Missing data patterns and representatio...
💡 Top Recommendations:
Next Best Action platform: democratizing personalization with contextual bandits
The process of buying, selling or renting homes can be complicated, often leaving buyers, sellers and renters feeling unsure and overwhelmed. As a multifaceted platform, Zillow connects these buyers, sellers and renters with local market experts, and provides the information, technologies and servic...
💡 Top Recommendations:
Revolutionizing the Real Estate Experience with LLMs: StreetEasy’s AI Journey
StreetEasy® is committed to making every experience of buying, renting and selling real estate in NYC more seamless. Artificial intelligence (AI) has long been a cornerstone of Zillow’s data products, powering features like our Home Value Estimate, Listing Recommendations, and Buyer Propensity Scori...
💡 Top Recommendations:
Stop Wasting Chats: Prompt Like a Pro (2026 Field Guide for ChatGPT, LLMs & Prompt Engineering)
Member-only story
Stop Wasting Chats: Prompt Like a Pro (2026 Field Guide for ChatGPT, LLMs & Prompt Engineering)
Smarter prompts → sharper answers. A practical playbook you can use today.
Most people treat ChatGPT like a search bar with an attitude. Treat it like a co-worker with tools — give it a ...
💡 Top Recommendations:
How to Import Pre-Annotated Data into Label Studio and Run the Full Stack with Docker
Introduction
Dataset preparation for an object detection training workflow can take a long time and often be frustrating. Label Studio, an open-source data annotation tool, can lend a hand by providing an easy way to annotate datasets. It supports a wide variety of annotation templates, including co...
💡 Top Recommendations:
Unlocking Multimodal Video Transcription with Gemini
A quick heads-up before we start:
- I’m a developer at Google Cloud. I’m happy to share this article and hope you’ll learn a few things. Thoughts and opinions are entirely my own.
- The source code for this article (and future updates) is available in this notebook (Apache License version 2.0).
- Yo...
💡 Top Recommendations:
Marginal Effect of Hyperparameter Tuning with XGBoost
Through my work building XGBoost models across different projects, I came across the great resource Effective XGBoost by Matt Harrison, a textbook covering XGBoost, including how to tune hyperparameters. Chapter 12 of the book is dedicated to tuning hyperparameters using the hyperopt library; howeve...
💡 Top Recommendations:
Toward Digital Well-Being: Using Generative AI to Detect and Mitigate Bias in Social Networks
Introduction
Artificial Intelligence (AI) dominates today’s headlines—hailed as a breakthrough one day, warned against as a threat the next. Yet much of this debate happens in a bubble, focused on abstract hopes and fears rather than concrete solutions. Meanwhile, one urgent challenge often overlook...
💡 Top Recommendations:
Understanding Matrices | Part 4: Matrix Inverse
- interpretation of multiplication of a matrix by a vector,
- the physical meaning of matrix-matrix multiplication,
- the behavior of several special-type matrices, and
- visualization of matrix transpose.
In this story, I want to share my perspective on what lies beneath matrix inversion, why diffe...
💡 Top Recommendations:
Crafting a Custom Voice Assistant with Perplexity
Often you just want a quick answer on current events, or you want to know if an Apple tree would survive the winter in Ohio, and often voice assistants like Google and Siri fall short of providing a satisfying answer. This got me interested in building my own voice assistant, one that would give me ...
💡 Top Recommendations:
The Generalist: The New All-Around Type of Data Professional?
The Rise of the Data Generalist
Let’s take it from the start. What do I mean by Data Generalists? If you Google “generalist definition”, it gives you the following definition:
“A person competent in several different fields or activities”
Take the above definition and apply it to the data sector. Th...
💡 Top Recommendations:
How to Develop a Bilingual Voice Assistant
Google Assistant offers the ability to add a second language; but its functionality is limited to certain devices only and offers this only for a limited set of major languages. For example, Google’s Nest Hub does not yet support bilingual capabilities for Tamil, a language spoken by over 80 million...
💡 Top Recommendations: