Improving Patient Care with Machine Learning At Beth Israel Deaconess Medical Center by Dr. Matt Wood | on 04 MAR 2019 Beth Israel Deaconess Medical Center has launched a multi-year, innovative research program on how machine learning can [...]
Computer, respond to this email. Posted by Greg Corrado*, Senior Research Scientist Machine Intelligence for You What I love about working at Google is the opportunity to harness cutting-edge machine intelligence for users’ benefit. [...]
This post outlines what makes a good machine leaning portfolio, with useful examples to help you begin to understand the type of project that gets noticed by big companies. By Edouard Harris, Founder @SharpestMindsAI (YC [...]
Can Microsoft democratise AI? The new code-free Power BI integrations with Azure Cognitive Services and Azure Machine Learning are a big step along that road. Modern businesses run on information, but we're drowning in [...]
Michelangelo PyML: Introducing Uber’s Platform for Rapid Python ML Model Development By Kevin Stumpf, Stepan Bedratiuk, and Olcay Cirit As a company heavily invested in AI, Uber aims to leverage machine learning (ML) in product [...]
How to deliver on Machine Learning projects A guide to the ML Engineering Loop Follow the loop all the way up! This post was co-authored by Emmanuel Ameisen, Head of AI at Insight Data Science and Adam Coates, Operating [...]
How Machine Learning Is Used to Manage Data Center Power Today Here’s how solutions already on the market today are using ML to improve data center uptime and efficiency. It’s no secret that data [...]
Large Collection of Neural Nets, Numpy, Pandas, Matplotlib, Scikit and ML Cheat Sheets This collection covers much more than the topics listed in the title. It also features Azure, Python, Tensorflow, data visualization, and [...]
ThirdEye Data launches 3 new Open Source solutions for Anomaly Detection and Predictive Analytics Over the past 20 years, the Open Source Software (OSS) movement has given developers and programmers the freedom to experiment, [...]
Outlier Detection using Apache Spark Solution Sometimes an outlier is defined with respect to a context. Whether a data point should be labeled as an outlier depends on the associated context. For a bank [...]
