Tag: TensorFlow

Feed: Hortonworks Blog – Hortonworks. Author: Shane Kumpf. This is the 5th blog of the Hadoop Blog series (part 1, part 2, part 3, part 4). In this blog, we will explore running Docker containers on YARN for faster time to market and faster time to insights for data intensive workloads at scale. For over half a decade, the Apache Hadoop YARN community has been hard at work enabling the building blocks for running a diverse set of data intensive workloads at unprecedented scale. The YARN community is constantly looking at ways to enable new use cases and improve existing ... Read More

Feed: What's New. For CPU-based training scenarios, the AMIs now include TensorFlow 1.8 built with Intel’s Advanced Vector Instructions (AVX), SSE, and FMA instruction sets to accelerate vector and floating point computations. The AMIs are also fully configured with Intel MKL-DNN to accelerate math routines used in neural network training on Amazon EC2 C5 instances. Training a ResNet-50 benchmark with the ImageNet dataset was 7X faster than training on the stock TensorFlow 1.8 binaries when we used an optimized build on a c5.18xlarge instance type with a batch size of 32. In addition, to improve training performance for GPU-based scenarios, ... Read More

Feed: All - O'Reilly Media. Author: James Furbush. Bare tree branches (source: PublicDomainPictures via Pixabay) Attend the Artificial Intelligence Conference to learn the latest tools and methods of machine learning. The following overview covers some of the basics of machine learning (ML): what it is, how it works, and what you need to keep in mind before taking advantage of it. This information is curated from the expert ML material available on O’Reilly’s online learning platform. What is machine learning? “Machine learning is the science (and art) of programming computers so they can learn from data,” writes Aurélien Géron in ... Read More

Feed: All - O'Reilly Media. Author: Ben Lorica. Singapore (source: Pixabay) Check out the two-day training session "Deep learning with Apache Spark and BigDL, with Keras and TensorFlow support" at the AI Conference in San Francisco, September 4-7, 2018. Hurry—best price ends June 8. Subscribe to the O'Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In this episode of the Data Show, I spoke with Jason Dai, CTO of Big Data Technologies at Intel, and one of my co-chairs for the AI Conference ... Read More

Feed: Microsoft Azure Blog. Author: Deepsha Menghani. Microsoft will have a major presence at Spark + AI Summit, 2018, in San Francisco, the premier event for the Apache Spark community. Rohan Kumar, Corporate Vice President of Azure Data, will deliver a keynote on how Azure Databricks combines the best of Apache® Spark™ analytics platform and Microsoft Azure Data Services to help customers unleash the power of data and reimagine possibilities that will improve our world. Azure Databricks, a fast, easy, and collaborative Apache Spark-based analytics platform optimized for Azure, was made generally available in March 2018. To learn more about ... Read More

Feed: Planet big data. Author: David Smith. The topic for my talk at the Microsoft Build conference yesterday was "Migrating Existing Open Source Machine Learning to Azure". The idea behind the talk was to show how you can take the open-source tools and workflows you already use for machine learning and data science, and easily transition them to the Azure cloud to take advantage of its capacity and scale. The theme for the talk was "no surprises", and other than the Azure-specific elements I tried to stick to standard OSS tools rather than Microsoft-specific things, to make the process as ... Read More

Feed: All - O'Reilly Media. Author: Eric Anderson. Shukhov Tower (source: Sergey Norin on Flickr) Check out "Serverless deep learning, or How to port your TensorFlow model to AWS Lambda" at the O'Reilly OSCON Conference, July 16-19, 2018, in Portland. Hurry—early price ends June 8. What do deep learning, serverless functions, and stream processing all have in common? Outside of being big trends in computing, the open source projects backing these movements are being built in a new, and perhaps unique, way. In each domain, an API-only open source interface has emerged that must be used alongside one of many ... Read More

Feed: Microsoft Azure Blog. Author: Rob Caron. Microsoft Build 2018 is just a few days away on May 7-9. Whether you can’t make it to Seattle or you just want to enhance your on-the-ground experience at the event, Microsoft Build Live brings you live as well as on-demand access to three days of inspiring speakers, spirited discussions, and virtual networking. The livestream gives you another way to connect, spark ideas, and deepen your engagement with the latest ideas in the cloud, AI, mixed reality, and more. Now in preview Python, Node.js, Go client libraries for Azure Event Hubs in public ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Queue your questions: common queries from Google Cloud customers Thursday, May 3, 2018 Barrett Williams, Big Data and Machine Learning Editor, Google Cloud In March, I attended Gartner’s Data and Analytics Summit in Grapevine, Texas to get a better sense for the questions our users are asking as they move their workloads to the cloud. Here are some answers to the questions we most frequently heard on the show floor, gathered by working ... Read More

Feed: MemSQL Blog. Author: Gary Orenstein. Introduction Machine Learning (ML) and Artificial Intelligence (AI) have stirred the technology sector into a flurry of activity over the past couple of years. However, it is important to remember that it all comes back to data. As Hilary Mason, a prominent data scientist, noted in Harvard Business Review*, …you can’t do AI without machine learning. You also can’t do machine learning without analytics, and you can’t do analytics without data infrastructure. Over the last year we assembled a number of blogs, videos, and presentations on using ML and AI with MemSQL. MemSQL with ... Read More