Tag: Classification

Feed: R-bloggers. Author: business-science.io - Articles. Last November, our data science team embarked on a journey to build the ultimate Data Science For Business (DS4B) learning platform. We saw a problem: A gap exists in organizations between the data science team and the business. To bridge this gap, we’ve created Business Science University, an online learning platform that teaches DS4B, using high-end machine learning algorithms, and organized in the fashion of an on-premise workshop but at a fraction of the price. I’m pleased to announce that, in 5 days, we will launch our first course, HR 201, as part of ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Matt Spillar. Early last year we announced the Hortonworks Data Heroes initiative. It’s our way of recognizing the Data Visionaries, Data Scientists, and Data Architects transforming their businesses and organizations through Big Data. Hortonworks has over 1,300 total customers spanning every industry, each with a unique Big Data journey. Our Data Heroes program lets us highlight a few customers who are helping create radical change in their industries. WHO ARE THE DATA HEROES? A Data Visionary:  who recognizes the potential of Big Data to transform their organization, and leads the business to turn that vision into reality. Winners will show ... Read More

Feed: All - O'Reilly Media. Author: Paco Nathan. Fractal complexity (source: Pixabay) Check out Jupyter Pop-up D.C. on Tuesday, May 15, 2018, at the GWU Marvin Center. (Apologies to Ray Kurzweil for the title puns) Recent one-day events showcased the Jupyter community in Boston and Atlanta, with another Jupyter Pop-up event coming on May 15 in Washington, D.C. At the same time, Project Jupyter has been in the news. We’re finding overlap between the themes explored at these community events and recent articles written about Jupyter. That overlap, in turn, illustrates the kinds of dialog that we’re looking forward to ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: doreen-dunn; Transcript Fatima Sirhindi:           Hello, this is Fatima Sirhindi, producer of your favorite podcast, Making Data Simple. Just a heads up, this podcast was recorded live at the Toronto Lab on March 1 and any references to dates are from that time. Also, because of the live recording, our audio may sound a bit different. The live recording is available on our Facebook page @IBMAnalytics and will be available in the show notes. Tweet us ideas of what you want to hear @AskIBMAnalytics and don’t forget to subscribe to ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary: Deep Learning, based on deep neural nets is launching a thousand ventures but leaving tens of thousands behind.  Transfer Learning (TL), a method of reusing previously trained deep neural nets promises to make these applications available to everyone, even those with very little labeled data. Deep Learning, based on deep neural nets is launching a thousand ventures but leaving tens of thousands behind.  The broad problems with DNNs are well known. Complexity leading to extended time to success and an abnormally high outright failure rate. Extremely large quantities ... Read More

Feed: R-bloggers. Author: Quantide. We released the spring dates for our R live courses! This term, we have chosen to only open two courses: Machine Learning with R and Data Visualization & Dashboard with R. The reason is that they’re our newest classes, and they’ are very current topics in the R community. Machine Learning with R is our first course this time. It takes place in May 22-23 in Milano Lima.If you already use R and want to get an overview of machine learning techniques with R, this is the right course for you! You will need some background in theoretical statistics, ... Read More

Feed: R-bloggers. Author: Tinniam V Ganesh. “Today you are You, that is truer than true. There is no one alive who is Youer than You.”Dr. Seuss “Explanations exist; they have existed for all time; there is always a well-known solution to every human problem — neat, plausible, and wrong.”H L Mencken In this 6th instalment of ‘Deep Learning from first principles in Python, R and Octave-Part6’, I look at a couple of different initialization techniques used in Deep Learning, L2 regularization and the ‘dropout’ method. Specifically, I implement “He initialization” & “Xavier Initialization”. My earlier posts in this series of ... Read More

Feed: SAS Blogs. Author: Sundeep Tengur. The financial services industry has witnessed considerable hype around artificial intelligence (AI) in recent months. We’re all seeing a slew of articles in the media, at conference keynote presentations and think-tanks tasked with leading the revolution. AI indeed appears to be the new gold rush for large organisations and FinTech companies alike. However, with little common understanding of what AI really entails, there is growing fear of missing the boat on a technology hailed as the ‘holy grail of the data age.’ Devising an AI strategy has therefore become a boardroom conundrum for many ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Matt Spillar. Early last year we announced the Hortonworks Data Heroes initiative. It’s our way of recognizing the Data Visionaries, Data Scientists, and Data Architects transforming their businesses and organizations through Big Data. Hortonworks has over 1,300 total customers spanning every industry, each with a unique Big Data journey. Our Data Heroes program lets us highlight a few customers who are helping create radical change in their industries. WHO ARE THE DATA HEROES? A Data Visionary:  who recognizes the potential of Big Data to transform their organization, and leads the business to turn that vision into reality. Winners will show ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: publicsector. The U.S. Department of Defense (DoD) charted their path to the cloud back in 2012 with the cloud directive. Since then, they have made strides in accelerating the adoption of cloud computing throughout the department. Critical to the success of cloud adoption is training the warfighter on how to use the new technology. By equipping military men and women with cloud computing capabilities and the confidence to take on new responsibilities, agencies invite fresh ideas, a place to test them, and the potential to solve complex issues affecting the environment in ... Read More