Tag: TensorFlow

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  The drive toward transparency and explainability in our modeling seems unstoppable.  Up to now that meant sacrificing accuracy for interpretability.  However, the ensemble method known as RuleFit may be the answer with both explainability and accuracy meeting or exceeding Random Forest. If you’re like me and not doing modeling in a highly regulated industry like mortgage finance or insurance then when you produce a model, you are concerned about only one thing, building the most accurate model that generalizes well.  On the other hand if you’re in one ... Read More

Feed: BDN Daily Press Releases Discussions - Big Data News. Author: Andrei Macsin. SAN JOSE, Calif., June 27, 2017  -- To dramatically increase the ROI that corporations can gain from their big data, Xcalar today announced availability of its business analytics platform, Xcalar 1.2, which gives the fastest, easiest, and most cost-effective access to actionable insights from big data. Xcalar also announced it has secured over $21 million in venture funding to date with its Series A round led by Khosla Ventures. Other investors include industry visionaries Andy Bechtolsheim and Diane Greene, and Silicon Valley venture capital firm, Merus Capital. Co-founded by former Oracle technologist Vikram Joshi, and Rebecca ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week. Featured Resources and Technical Contributions Deep Learning with TensorFlow in Python + Using Uninformed & Informed Search Algorithms - to Solve 8-Puzzle (n-Puzzle) in Python  Python: Implementing a k-means algorithm with sklearn  Image and Video Processing: Motion Estimation, Image Restoration  Semi-Supervised Classification using Markov Chain and Random Walk  Data Modelling Topologies of a Graph Database  The 10 Algorithms Machine Learning Engineers Need to Know  ... Read More

Feed: Planet big data. Author: David Smith. The Windows edition of the Data Science Virtual Machine (DSVM), the all-in-one virtual machine image with a wide-collection of open-source and Microsoft data science tools, has been updated to the Windows Server 2016 platform. This update brings built-in support for Docker containers and GPU-based deep learning.  GPU-based Deep Learning. While prior editions of the DSVM could access GPU-based capabilities by installing additional components, everything is now configured and ready at launch. The DSVM now includes GPU-enabled builds of popular deep learning frameworks including CNTK, Tensorflow, and MXNET. It also includes Microsoft R Server 9.1, and ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Saumitra Buragohain. This blog has contributions from: Vinod Vavilapalli, Wangda Tan, Gour  Saha, Priyanka Nagwekar, Sunil Govindan You have probably wondered what makes a self-driving car intelligent to process the live camera feeds, navigate the busy streets and distinguish objects on the streets, such as cars, trucks, traffic lights or pedestrians? A self-driving car is a perfect example of a modern data application that combines big data with smart algorithms. To understand the underpinnings of such a modern data app, we will start with a recap of our blog series titled “Data Lake 3.0” ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: publicsector. From computer vision systems for autonomous driving to FDA-approved medical imaging, artificial intelligence (AI) is driving public sector innovation. Governments, defense agencies, and other public sector organizations are adding AI into their platform, solutions, and products to perform tasks that usually require human-level intelligence, such as visual perception, speech recognition, decision making, or translation.In order to change the way services are delivered to the blind or to inspire the next generation of space explorers, organizations need to overcome hurdles related to the scale of data, scale of compute, and variety of ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  There’s a three way technology race to bring faster, easier, cheaper, and smarter AI.  High Performance Computing is available today but so are new commercial versions of actual Quantum computers and Neuromorphic Spiking Neural Nets.  These two new entrants are going to revolutionize AI and deep learning starting now.   AI and Deep Learning has a Problem - Three Actually. Time:  The amount of time needed to train a deep net like a CNN or an RNN can be weeks.  This doesn’t count the weeks or months in ... Read More

Feed: All - O'Reilly Media. Author: Mike Loukides. Rhombus and hex weave. (source: Joel Cooper on Flickr). JupyterCon is August 22-25, 2017, in New York City. Registration is now open. What is Jupyter, and why do you care? After all, Jupyter has never become a buzzword like data science, artificial intelligence, or Web 2.0. Unlike those big abstractions, Jupyter is very concrete. It’s an open source project, a piece of software, that does specific things. But without attracting the hype, Jupyter Notebooks are revolutionizing the way engineers and data scientists work together. If all important work is collaborative, the most ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week. Featured Resources and Technical Contributions 100 Free Tutorials for learning R  Image Segmentation using deconvolution layer in Tensorflow + 5 Questions To Ask When You Get A Data Dump To Analyse  Sales Data Analysis using DataIku Studio  13 Great Blogs Posted in the last 12 Months  Brand-Value Analysis with simple Sentiment Analysis using Shiny R  Comparing Spectral partitioning / clustering - (with Normalized Graph ... Read More

Feed: Database Trends and Applications : All Articles. BlueData, provider Big-Data-as-a-Service (BDaaS) software, is releasing an enhanced version of BlueData EPIC, providing increased scalability, enhanced networking, and significant security and performance optimizations.With BlueData EPIC 3.0, enterprises can quickly and easily deploy large-scale production environments for big data analytics and data science running in Docker containers – either on-premises, in the public cloud, or in a hybrid architecture.Significant updates to the platform include flexible networking and monitoring for large-scale Big Data deployments using Docker containers, additional support for big data multi-tenancy on public cloud infrastructure and hybrid architectures, performance and security ... Read More