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How Doma Writes Declarative Code with Material UI

How Doma Writes Declarative Code with Material UI

Leveraging Material UI to write declarative code at Doma has helped us streamline our development, reducing friction and inconsistencies…
Go to the profile of Alan Souza
Alan Souza
Building an Information Extractor with BERT

Building an Information Extractor with BERT

Information extraction is the process of extracting structured information from free-form textual data. It is one of the most promising…
Go to the profile of Anyi Zhang
Anyi Zhang
Optimizing Models Using t-SNE Plots

Optimizing Models Using t-SNE Plots

How can one use high dimensional text vector representations and visualization techniques to improve the home-buying process?
Go to the profile of Juhi Chandalia
Juhi Chandalia
Property-Level Decisioning as Protector of Financial Data Privacy

Property-Level Decisioning as Protector of Financial Data Privacy

Social Media Marketing and Financial Decision Science are Two Sides of the Same Coin
Go to the profile of Andy Mahdavi
Andy Mahdavi
Data Provenance and Coverage Analysis for High Quality ML Models

Data Provenance and Coverage Analysis for High Quality ML Models

Before data scientists get to work building machine learning models, they typically conduct a series of steps known as “Exploratory Data…
Go to the profile of Yalixa De La Cruz
Yalixa De La Cruz
Visualizing Hyperparameter Optimization with Hyperopt and Plotly — States Title

Visualizing Hyperparameter Optimization with Hyperopt and Plotly — States Title

A machine learning (ML) model is rarely ready to be launched into production without tuning. Like bindings on a ski or the knobs and…
Go to the profile of Daniel Sammons
Daniel Sammons
Runaway Query Termination via Looker and Slack

Runaway Query Termination via Looker and Slack

Let me provide you the methods necessary to locate runaway queries, terminate them, and then post the details to Slack using the Looker SDK
Go to the profile of Jay Ozer
Jay Ozer
Understanding BERT’s Semantic Interpretations

Understanding BERT’s Semantic Interpretations

Introduction
Go to the profile of Ying Jiang
Ying Jiang
Building a Modern Data Stack at States Title

Building a Modern Data Stack at States Title

Machine learning can deliver an incredible amount of value to business. States Title is a prime example of this, with data science models…
Go to the profile of Matthew Phillips
Matthew Phillips
Do Your Civic Duty and Help Out a Data Scientist

Do Your Civic Duty and Help Out a Data Scientist

Three Census Data Use Cases for Data Scientists
Go to the profile of Erica Mason
Erica Mason
Stochastic Growth: Becoming an Effective Data Scientist with Grit

Stochastic Growth: Becoming an Effective Data Scientist with Grit

In the course of three years, States Title has evolved into a top 10 provider of real estate settlement services, an outcome in no small…
Go to the profile of Brian Holligan
Brian Holligan
The Galactic Adventures of Mark V. Shaney

The Galactic Adventures of Mark V. Shaney

One of the most talented and profound colleagues I’ve had in my life has not been a person, but an algorithm: the Markov Chain. Our…
Go to the profile of Andy Mahdavi
Andy Mahdavi
Using NLP (BERT) to improve OCR accuracy

Using NLP (BERT) to improve OCR accuracy

Optical Character Recognition (OCR) is a popular technique used to extract data from scanned documents. As you would expect, the accuracy…
Go to the profile of Ravi Ilango
Ravi Ilango
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