Remove 2014 Remove Clustering Remove Data Science
article thumbnail

Ask HN: Who wants to be hired? (July 2025)

Hacker News

reply abrefeld 1 hour ago | prev | next [–] Data science / finance / full-stack | Python (6+ years) | Full-time | In-Person / Hybrid Location: Denver, Colorado (greater metro area) Remote: Yes, for the right team. Ideal job would be designing, developing (CRDs, operators), monitoring and troubleshooting K8s clusters.

Python 55
article thumbnail

10 takeaways from 10 years of data science for social good

DrivenData Labs

Looking back ¶ When we started DrivenData in 2014, the application of data science for social good was in its infancy. There was rapidly growing demand for data science skills at companies like Netflix and Amazon. Weve run 75+ data science competitions awarding more than $4.7

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Top 6 Kubernetes use cases

IBM Journey to AI blog

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

article thumbnail

Best Egg achieved three times faster ML model training with Amazon SageMaker Automatic Model Tuning

AWS Machine Learning Blog

Since March 2014, Best Egg has delivered $22 billion in consumer personal loans with strong credit performance, welcomed almost 637,000 members to the recently launched Best Egg Financial Health platform, and empowered over 180,000 cardmembers who carry the new Best Egg Credit Card in their wallet.

ML 101
article thumbnail

Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning Blog

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. The data science team expected an AI-based automated image annotation workflow to speed up a time-consuming labeling process.

ML 127
article thumbnail

What is the Snowflake Data Cloud and How Much Does it Cost?

phData

Effectively this is a way to store the source of truth and build (or rebuild) your downstream data products (including data warehouses) from it. What is the Difference Between a Data Lake and a Data Warehouse? Historically, there were big differences.

article thumbnail

How to optimize your LinkedIn as a Data Scientist?

Pickl AI

If you are a Data Scientist, then your LinkedIn profile should be flooded with information on Data Science’s latest development in this domain, such that it instantly garners the attention of recruiters as well as your contemporaries. is a trusted e-learning platform for Data Science. Wrapping it up !!!