Machine Learning as a microservice in a Docker container on a Kubernetes cluster — say what?
It is always fascinating to see the versatile ways in which machine learning can be used. At Outfittery, algorithms help the experts select the most
It is always fascinating to see the versatile ways in which machine learning can be used. At Outfittery, algorithms help the experts select the most
Business data makes your life as an entrepreneur easier. If you run a business you probably make decisions regularly that affect your business. How much
Many treatments of digital disruption regard the rapid pace of technological innovation as the key problem facing organizations. It’s true that technological innovation is happening
Conventional out-of-the-box analytics solutions — like Google Analytics — are mainstays for the early stages of many companies. They’re a cheap, quick way to get
Here we propose a general framework to solve business problems with data science. This 5-step framework will not only shed light on the subject to
In early 2015, we began building data infrastructure at Thumbtack. At the time, the company’s data was spread across a PostgreSQL replica and a MongoDB
You’re not a data scientist. Supposedly according to the tech and business press, machine learning will stop global warming, except that’s apparently fake news created
In a given day, 4.5 billion Facebook likes are given, 4 billion YouTube videos are watched, and 3.5 billion Google searches are conducted. For marketers,
‘Big Data’ is the application of specialized techniques and technologies to process very large sets of data. These data sets are often so large and
Big data analytics can transform how businesses operate. While marketing and sales businesses cottoned on to this early, more and more previously non-tech-focused companies are
There are some inbuilt human traits that are huge faults. Think about anxiety, it does considerably more harm than good, turning the strong into a
There’s no shortage of great talent for companies such as Apple, Google, Intel, Facebook, Wikipedia and some exciting startups. But what if you are not