Today’s post is the fifth one of our series of blog posts about BigML Principal Component Analysis (PCA) unique implementation, the latest resource added to our platform. PCA is a different type of task in the Data Preparation phase described in the CRISP-DM methodology, which implies the creation of a new dataset based on an existing one. […]
Archives for 2018
Digital Ethics: Data is the new forklift
Joanna Goodman reports from last week’s Digital ethics summit. Governments, national and international institutions and businesses must join forces to make sure that AI and emerging technology are deployed successfully and responsibly. This was the central message from TechUK’s second Digital Ethics Summit in London. Antony Walker, TechUK’s deputy CEO set out the purpose of […]
A REST API for Principal Component Analysis
As part of our PCA release, we have released a series of blog posts, including a use case and a demonstration of the BigML Dashboard. In this installment, we shift our focus to implement Principal Component analysis with the BigML REST API. PCA is a powerful data transformation technique and unsupervised Machine Learning method that […]
Andrew Ng’s AI Transformation Playbook shares key lessons
Co-founder of Google Brain and former Chief Scientist at Baidu, Andrew Ng, has unveiled an AI Transformation Playbook. The guide to successfully adopting AI in enterprise draws on insights gained from leading AI teams at Google and Baidu. Andrew Ng claims that, “it is possible for any enterprise to follow this Playbook and become a […]
Cloud Security Concerns: IT vs. LoB
Data shows a divide in perceptions on cloud security between IT and lines of business. The cloud is here. You may choose to use cloud-based applications with software as a service (SaaS). Alternately, you may choose your own applications resident in the cloud with platform as a service (PaaS). In either case, you will likely […]
How remote monitoring provides real-time information for improved servicing
In the “Quick Start Guide: Monitoring Equipment with IoT” eBook, Tech-Clarity, an independent manufacturing technology research firm, shows how manufacturers can use remote monitoring to quickly identify failures and efficiently repair equipment. Tech-Clarity provides actionable steps that manufacturers can take to connect remote equipment, gather the right data and put that data to use. Download […]
3 ways to maximize the value of your smart, connected products
How can you measure ROI for your IoT initiatives? Are you fully monetizing and bringing measurable value to your smart, connected projects? The “IoT Monetization and the Network Effect” eBook explores how to maximize the value of your IoT investments, including how to: Measure and prove that your IoT projects are valuable and solving distinctive […]
Combining Optical Flow and Semantic Segmentation for Automated Annotation and Quality Control
Manual annotations of single frames in video sequences can be a daunting and time consuming process due to the sheer amount of image data. For example, video recordings at 1080HD with 30 fps will generate 180 MB/s of uncompressed image data. Our in-house computer vision team has been conducting research on technologies to speed up […]
Principal Component Analysis with the BigML Dashboard: Easy as 1-2-3!
The BigML Team is bringing Principal Component Analysis (PCA) to the BigML platform on December 20, 2018. As explained in our introductory post, PCA is an unsupervised learning technique that can be used in different scenarios such as feature transformation, dimensionality reduction, and exploratory data analysis. PCA, explained in a nutshell, fundamentally transforms a dataset defined by possibly correlated variables […]
Applying Dimensionality Reduction with PCA to Cancer Data
Principal Component Analysis (PCA) is a powerful and well-established data transformation method that can be used for data visualization, dimensionality reduction, and possibly improved performance with supervised learning tasks. In this use case blog, we examine a dataset consisting of measurements of benign and malignant tumors which are computed from digital images of a fine […]