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​Posted by Haim Kaplan and Yishay Mansour, Research Scientists, Google Research Differential privacy (DP) machine learning algorithms protect user data by limiting the effect of each data point on an aggregated output with a mathematical guarantee. Intuitively the guarantee implies that changing a single user’s… Read More »FriendlyCore: A novel differentially private aggregation framework Google AI Google AI Blog

​Following our previous posts on how to improve results when using Machine Learning on imbalanced data, in this post, we’ll Continue reading  Following our previous posts on how to improve results when using Machine Learning on imbalanced data, in this post, we’llContinue reading  Read More OptiML, Scripting,… Read More »Automated Machine Learning for Imbalanced Data martinprats The Official Blog of BigML.com

​ Surfers, swimmers and beachgoers face a hidden danger in the ocean: rip currents. These narrow channels of water can flow away from the shore at speeds up to 2.5 meters per second, making them one of the biggest safety risks for those enjoying the… Read More »Making a Splash: AI Can Help Protect Ocean Goers From Deadly Rips Brian Caulfield – Archives Page 1 | NVIDIA Blog

​Posted by Kendra Byrne, Senior Product Manager, and Jie Tan, Staff Research Scientist, Robotics at Google (This is Part 6 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Within our lifetimes,… Read More »Google Research, 2022 & beyond: Robotics Google AI Google AI Blog

​ Amazon Kendra is an intelligent search service powered by machine learning (ML). It indexes the documents stored in a wide range of repositories and finds the most relevant document based on the keywords or natural language questions the user has searched for. In some… Read More »Building AI chatbots using Amazon Lex and Amazon Kendra for filtering query results based on user context Rohit Satyanarayana AWS Machine Learning Blog

​ We’re excited to announce that Amazon Personalize now lets you measure how your personalized recommendations can help you achieve your business goals. After specifying the metrics that you want to track, you can identify which campaigns and recommenders are most impactful and understand the… Read More »Measure the Business Impact of Amazon Personalize Recommendations Anna Gruebler AWS Machine Learning Blog

​ Posted by Mathieu Guillame-Bert, Richard Stotz, Luiz GUStavo Martins Two years ago, we open sourced the experimental version of TensorFlow Decision Forests and Yggdrasil Decision Forests, a pair of libraries to train and use decision forest models such as Random Forests and Gradient Boosted… Read More »Updates: TensorFlow Decision Forests is production ready noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

​ RAID, or Redundant Array of Independent Disks, is a technology that helps protect against the loss of data in case one disk fails by providing redundancy through multiple disks. While there are many different types of RAID configurations available, it’s important to understand which… Read More »A Guide to Using RAID for Database Servers Seb Programmathically