We are excited to release Deep Learning for Anomaly Detection, the latest applied machine learning research report from Cloudera Fast Forward Labs. Anomalies, often referred to as outliers, are data points or patterns in data that do not conform to a notion of normal behavior. Anomaly detection, then, is the task of finding those patterns […]
The use of artificial intelligence (AI) for image recognition offers great potential for business transformation and problem-solving. But numerous responsibilities are interwoven with that potential. Predominant among them is the need to understand how the underlying technologies work, and the safety and ethical considerations required to guide their use. Regulations Coming for Image, Face, and […]
Cloudera Fast Forward is an applied machine learning research and consulting services group within Cloudera. We help enterprises accelerate and innovate through the adoption of emerging ML technologies, cutting-edge technical architectures, and ML best practices. Through knowledge transfer and skills development, we empower organizations to continually evolve and differentiate by leveraging their data. Enabling ethical […]
Last month we were thrilled to launch Cloudera Data Science Wrangle—a traveling practitioner learning and social event for data scientists, data and ML engineers, DevOps/ML Ops leaders, data product managers, and business leaders looking to drive innovation with the latest in data science and machine learning. During the week of Strata Data Conference, where we […]
Cloudera Fast Forward Labs is an applied machine learning research and consulting services group within Cloudera, which helps enterprises accelerate data value creation through the adoption of emerging ML techniques, cutting-edge technical architectures and industry leading ML best practices. We focus on expert knowledge transfer and skills development, empowering organizations to continually evolve, differentiate themselves […]
Disclaimer: the scenario below is hypothetical. Any similarity to any specific telecommunications company is purely coincidental. Although we use the example of a telecommunications company the following applies to every organization with customers or voluntary stakeholders. Introduction Imagine that you are a Chief Data Officer at a major telecommunications provider and the CEO […]
This was originally published on the Fast Forward Labs blog We are excited to release Learning with Limited Labeled Data, the latest report and prototype from Cloudera Fast Forward Labs. Being able to learn with limited labeled data relaxes the stringent labeled data requirement for supervised machine learning. Our report focuses on active learning, a technique […]
Many types of business problems boil down to making recommendations, and machine learning is the special sauce that makes these problems solvable. Machine learning for recommendations is a challenging endeavor in its own right, but it is just one part of the recommendation system, which must move, store, process, and update data, in production, across […]
As a warm-up to Spark Summit West in San Francisco (June 6-8), we’ve added a new project to Cloudera Labs that makes building Spark Streaming pipelines considerably easier. Spark Streaming is the go-to engine for stream processing in the Cloudera stack. It allows developers to build stream data pipelines that harness the rich Spark API for […]