Try out this notebook series in Databricks – part 1 (Delta Lake), part 2 (Delta Lake + ML) For many data scientists, the process of building and tuning machine learning models is only a small portion of the work they do every day. The vast majority of their time is spent doing the less-than-glamorous (but […]
On June 26th, we hosted a live webinar — Deep Learning on Medical Images at Population-scale— with members of the data science and engineering teams from Human Longevity Inc (HLI), a leader in medical imaging and genomics. During the webinar, HLI shared how they use MRI images, whole-genome sequencing data, and other clinical data sets […]
On July 18th, we hosted a live webinar —Using ML and Azure to improve Customer Lifetime Value – with Rob Saker, Industry Leader Financial Services, Colby Ford, Associate Faulty – School of Data Science, UNC Charlotte and Navin Albert, Solutions Marketing Manager at Databricks. This blog has a recording of the webinar and some of the […]
In the early stages of basketball, there was very little use for data and analytics. Sports, in general, were largely anti-data science simply because it didn’t seem like it could apply to a game. Fast forward to the present day, and data science and data analytics are being used in virtually every single sport. The […]
Try this notebook in Databricks On June 20th, our team hosted a live webinar—Automated Hyperparameter Tuning, Scaling and Tracking on Databricks—with Joseph Bradley, Software Engineer, and Yifan Cao, Senior Product Manager at Databricks. Automated Machine Learning (AutoML) has received significant interest recently because of its ability to shorten time-to-value for data science teams and maximize […]
While we are proud of our Berkeley roots, Databricks now calls many cities around the world our home. In addition to offices in London, Singapore, New York and our headquarters in San Francisco, we have one of our major engineering hubs in the fast-growing European R&D center, Amsterdam. Databricks offers the exciting opportunity to relocate […]
We’ve had technical people focused on the ingestion and management of data for decades. But, only recently has data engineering become a critical, widespread role. Why is that? This post will outline a somewhat contrarian view as to why data engineering has become a critical function and how we might expect the role to evolve […]
Since it was launched, Kubernetes technology has transformed the way software developers build and deploy applications. The widespread adoption of this technology intrigued data scientists, who saw that Kubernetes also provides features to optimize and support the data science workflow. In this post, I’ll explain what is Kubernetes and how it can help support data […]
What are scrum ceremonies? Scrum is a framework for organizing work in a team. We use scrum ceremonies to organize all software development and course content creation at Cognitive Class. Scrum is well suited for agile software development. It’s possible to use scrum to organize other kinds of teams. For example, The Rhesus Chart is […]
Data science is a term that covers a lot of ground. It involves studies and research that have to do with the creation and management of data. That includes how data is used to accomplish tasks often associated with web design and management. A key element in the data science of today is Artificial Intelligence (AI). […]