Tag: Deep Learning

Feed: All - O'Reilly Media. Author: Ben Lorica. Stairs and brick wall (source: Pixabay) Check out the "Deep Learning models" sessions at the Artificial Intelligence Conference in San Francisco, September 4-7, 2018. One of the key findings of a survey we released earlier this year (How Companies are Putting AI to Work through Deep Learning) was that the leading reason holding companies back from incorporating deep learning was their lack of access to skilled people. One-fifth of respondents pointed to a skills gap as one of the reasons they haven’t integrated deep learning, and at the time of the survey, ... Read More

Feed: R-bloggers. Author: business-science.io - Articles. Model interpretability is critical to businesses. If you want to use high performance models (GLM, RF, GBM, Deep Learning, H2O, Keras, xgboost, etc), you need to learn how to explain them. With machine learning interpretability growing in importance, several R packages designed to provide this capability are gaining in popularity. We analyze the IML package in this article. In recent blog posts we assessed LIME for model agnostic local interpretability functionality and DALEX for both local and global machine learning explanation plots. This post examines the iml package (short for Interpretable Machine Learning) to ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. In this post, I discuss the development of the Enterprise AI business case through a framework of four quadrants.  According to Gartner: “The mindset shift required for AI can lead to “cultural anxiety” because it calls for a deep change in behaviors and ways of thinking”. Deployment of AI in an Enterprise is complex and multi-disciplinary. Hence, this framework is evolutionary.  The vendors and initiatives listed are included to illustrate the framework. In progressive orders of complexity (and opportunity) the four quadrants for the Enterprise AI business case are: ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Join the largest community of machine learning (ML), deep learning, AI, data science, business analytics, BI, operations research, mathematical and statistical professionals: Sign up here. If instead, you are only interested in receiving our newsletter, you can subscribe here. There is no cost. The full membership includes, in addition to the newsletter subscription: Access to member-only pages, our free data science eBooks, data sets, code snippets, and solutions to data science / machine learning / mathematical challenges. Support to all your questions regarding our community. Data sets, projects, cheat sheets, tutorials, programming ... Read More

Feed: What's New. Amazon Rekognition is a deep learning-based image and video analysis service that can identify objects, people, text, scenes, and activities, as well as detect any inappropriate content. With Amazon Rekognition, customers can easily integrate image and video analysis into their applications with automatic metadata extraction. This metadata can be used in various ways, such as verifying identities for facility entry, reviewing user-generated content, enhancing search capabilities, and automating manual workflows. K-STAR Group, an entertainment company based in South Korea that provides concert ticketing and payment services. “A recurring pain point at concerts is the long line that ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. My blog “Blockchain + Analytics: Enabling Smart IOT” drew some great feedback asking me to clarify my autonomous vehicle example that used blockchain as a means of near real-time, peer-to-peer communications between clusters of intelligent devices and machines.  But first, some background. Edge analytics within an Internet of Things (IOT) world is very different than traditional big data analytics because it required the ability to stream and analyze massive amounts of real-time data, much of which never changes substantially, outside the confines of the data center or the cloud ... Read More

Feed: What's New. Powered by up to eight latest-generation NVIDIA Tesla V100 GPUs, Amazon EC2 P3 instances deliver up to 1 petaflop of mixed-precision performance per instance to significantly accelerate machine learning and high performance computing applications. Amazon EC2 P3 instances have helped developers and data scientists to reduce machine learning training times from days to hours as well as reduce time-to-results for high performance computing. With broad availability across 14 regions, developers and data scientists can train their models or run their HPC workloads where their data resides. Amazon EC2 P3 instances support all machine learning frameworks such as ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Matt Spillar. Earlier this week, Hortonworks announced financial results for the second quarter of 2018. Momentum is high at the halfway point of the year, as our CEO Rob Bearden announced another record breaking quarter! The Q2 revenue of $86.3 million marked a total revenue growth of 40 percent compared to the prior year. Q2 also was another quarter of positive operating cash flow. Hortonworks has been a public company for over four years now, and in that time, has evolved from the leading Hadoop provider to the leading global data management platform company. More enterprises ... Read More

Feed: Cognitive Class Author: Antonio Cangiano IBM has partnered with edX.org, the leading online learning destination founded by Harvard and MIT, for the delivery of several Professional Certificate programs. Professional Certificate programs are a series of in-demand courses designed to build or advance critical skills for a specific career. “We are honored to welcome IBM as an edX partner,” said Anant Agarwal, edX CEO and MIT Professor. “IBM is defined by its commitment to constant innovation and its culture of lifelong learning, and edX is delighted to be working together to further this shared commitment. We are pleased to offer ... Read More

Feed: All - O'Reilly Media. Author: Mike Loukides. Artificial intelligence (source: Pixabay) Check out the session "Evolutionary computation: The next deep learning" at the Artificial Intelligence Conference in San Francisco, September 4-7, 2018. While AI researchers are racking up ever more impressive successes, in many respects AI seems to be stalled. Significant as the successes are, they’re all around solving specific, well-defined problems. It isn’t surprising that AI or ML can solve such problems. What would be more surprising, and what seems no closer than it was a decade ago, would be steps in the direction of general intelligence or ... Read More