Company Blog

In digital advertising, one of the most important things to be able to deliver to clients is information about how their advertising spend drove results.  The more quickly we can provide this, the better. To tie conversions or engagements to the impressions served in an advertising campaign, companies must perform attribution. Attribution can be a...

For companies that make money off of interest on loans held by their customer, it’s always about increasing the bottom line. Being able to assess the risk of loan applications can save a lender the cost of holding too many risky assets. It is the data scientist’s job to run analysis on your customer data...

Today, we’re excited to announce MLflow v0.4.0, MLflow v0.4.1, and v0.4.2 which we released within the last week with some of the recently requested features. MLflow 0.4.2 is already available on PyPI and docs are updated. If you do pip install mlflow as described in the MLflow quickstart guide, you will get the recent release. In this...

In October 2012, Harvard Business Review put a spotlight on the data science career with a dedicated issue and a catchy claim: Data Scientist: The Sexiest Job of the 21st Century. Last year in October, five years on, Forbes recast an answer on Quora, Why Data Science Is Such A Hot Career Right Now? Recent...

In a world of rapidly changing products, companies investing in technology need well-trained experts to run it. Certifications are a key differentiator in a competitive job market because they validate your skills and expertise while keeping you relevant. In fact, certifications may impact career growth more than degrees, since business leaders perceive them as more...

On July 19, we held our monthly Bay Area Spark Meetup (BASM) at Databricks, HQ in San Francisco. At the Spark + AI Summit in June, we announced two open-source projects: Project Hydrogen and MLflow. Partly to continue sharing the progress of these open-source projects with the community and partly to encourage community contributions, two...

Today, we’re excited to announce MLflow v0.3.0, which we released last week with some of the requested features from internal clients and open source users. MLflow 0.3.0 is already available on PyPI and docs are updated. If you do pip install mlflow as described in the MLflow quickstart guide, you will get the recent release....

Within a couple of years of its release as an open-source machine learning and deep learning framework, TensorFlow has seen an amazing rate of adoption. Consider the number of stars on its github page: over 105K; look at the number of contributors: 1500+; and observe its growing penetration and pervasiveness in verticals: from medical imaging...