What’s more fun than uncovering insightful trends and patterns buried in piles of data? Being able to easily share and explain them to colleagues and other business teams! New in the Cloudera Machine Learning (CML) 1.2 we’re excited to announce support for hosting persistent web based applications and dashboards using frameworks like Flask, Dash 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 […]
Introduction In this blog, we’re going to look at transfer learning, a technique that enables the transfer of knowledge from one task to another. The traditional machine learning approach is to start with zero knowledge, and the model learns the structure and parameters of the model with the training examples provided: this type of learning […]
Introduction A Convolutional Neural Network (CNN) is a class of deep, feed-forward artificial neural networks most commonly applied to analyzing visual imagery. The architecture of these networks was loosely inspired by biological neurons that communicate with each other and generate outputs dependent on the inputs. Though work on CNNs started in the early 1980s, […]