The human in the machine
At Doma, we use machine learning and natural language processing (NLP) to provide a fast and painless mortgage closing experience.
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10m
The human in the machine
The modern internet is powered by the distillation of advertising into science. Legions of Americans broadcast their daily lives on social networks such as Instagram and Twitter.
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5m
The human in the machine
ML teams ought to adopt an even more fundamental series of quality checks to ensure that data is usable for production, in advance of attempting Exploratory Data Analysis.
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12m
The human in the machine
A machine learning (ML) model is rarely ready to be launched into production without tuning. That's why hyperparameter tuning – the science of choosing all the right settings for ML – is a core competency of the data science team at States Title.
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8m
The human in the machine
States Title Staff Data Analyst, Jay Ozer, shows you step-by-step how to find runaway queries that bog down your system, terminate them, and then post the details to Slack using the Looker SDK
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6m
The human in the machine
The fundamental challenge of natural language processing (NLP) is resolution of the ambiguity that is present in the meaning of and intent carried by natural language.
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12m
The human in the machine
What’s the difference between “It’s good” and “It’s OK?” Find out how our algorithms learn subtle language distinctions to automate the title process and make mortgage closings seamless.
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8m
The human in the machine
Machine learning can deliver an incredible amount of value to business, but when it comes to building a functional and sophisticated data stack, there are numerous choices and challenges to resolve along the way.
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7m
The human in the machine
April 1, 2020 is census day in the United States, when a constitutional mandate for every county in the country to count its population is fulfilled.
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4m
The human in the machine
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 part powered by patented and highly effective data science algorithms.
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8m
The human in the machine
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.
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8m
The human in the machine
Optical Character Recognition (OCR) is a popular technique used to extract data from scanned documents.
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4m
The human in the machine
Earlier this year, our data science team of three people were gathered in a small meeting room, looking over plots describing feature behavior for a new model.
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15m
The human in the machine
Creating automated tests for software is second nature to great software engineers, and it’s a habit that data scientists should mirror.
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15m
The human in the machine
As disciplines mature, practitioners tend to specialize. During the Renaissance, physics was a branch of philosophy, and Isaac Newton, inventor of calculus, the prism, and aspiring alchemist, considered himself a philosopher. He called his masterpiece the Mathematical Principles of Natural Philosophy. In the 19th century, philosophy split off from physics, but a single physicist could still be reasonably expected to know the entire subject.
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8m