Tag: AI

Feed: Featured Blog Posts - Data Science Central. Author: Emmanuelle Rieuf. This chart comes from Reddit. Since many data scientists occasionnally have to make a presentation at a conference (or when presenting their doctoral thesis), I thought you would relate to this chart. . To read the original article, click here. Top DSC Resources Article: What is Data Science? 24 Fundamental Articles Answering This Question Article: Hitchhiker's Guide to Data Science, Machine Learning, R, Python Tutorial: Data Science Cheat Sheet Tutorial: How to Become a Data Scientist - On Your Own Categories: Data Science - Machine Learning - AI - ... 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 Context Matters When Text Mining Machine Learning vs. Traditional Statistics - Different philosophies, Different Approaches Sentiment Analysis of Movie Reviews - Part 2: word2vec An Introduction to Implementing Neural Networks using TensorFlow Heart rate during conference presentation (with beta-blockers) + Sentiment Analysis of Movie Reviews - Part 1: Bag-of-Words Models Data Integration Tools – Market Study ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Sigrid Keydana. (This post originally appeared on recurrentnull.wordpress.com, as first part in a series on sentiment analysis of movie reviews.) Imagine I show you a book review, on amazon.com, say. Imagine I hide the number of stars, – all you get to see is the number of stars. And now I’m asking you, that review, is it good or bad? Just two categories, good or bad. That’s easy, right?Well, it should be easy, for humans (although depending on the input there can be lots of disagreement between humans, too.) But if ... Read More

Feed: Big Data University Author: cora Posted on October 25, 2016 by cora Here’s this week’s news in Data Science and Big Data. Don’t forget to subscribe if you find this useful! Interesting Data Science Articles and News Close the skills gap at IBM Insight at World of Watson 2016 – As part of its ongoing engagement with educators, IBM is reaching out to university faculty members in hopes of increasing the number of data-savvy students entering the workforce. Machine learning versus AI: what’s the difference? – AI and machine learning are very much related, but they’re not quite the ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . By Seth Proctor, CTO, NuoDB Today, organizations are spending a lot of time trying to simplify, align development with operations, and manage commodity or virtualized resources on-demand. This helps to reduce costs, improve efficiency and evolve solutions in a more agile fashion. Over the past few years, I’ve been having conversation after conversation with architects, developers, and CTOs around Docker and container computing. As a long-time Sun Microsystems engineer, these are familiar topics, but the recent popularity is still impressive. These conversations are with large companies and small, in virtually every industry, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Starred articles are candidates for the picture of the week. A comprehensive list of all past resources is found here. We are in the process of automatically categorizing them using indexation and automated tagging algorithms. Resources Authoring Books with R Markdown Feature Selection: The 10-dimensional burrito From scatter plot to slope chart Using Big Data for Machine Learning Analytics in Manufacturing A Complete Tutorial on Linear Regression with R Statistical Computing with Stata Build an AI Writer - Machine Learning for Hackers - Video Demystifying linear regression and feature ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Guest blog post by Jen-Hsun Hunag, Founder, President and CEO at NVIDIA, Originally entitled "The Intelligent Industrial Revolution". A New Era of Computing Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time. In my three decades in the computer industry, none has held more potential, ... Read More

Feed: SQL Server Blog. Author: SQL Server Team. This post is by Joseph Sirosh, Corporate Vice President of the Data Group at Microsoft. In June, we’ve announced the general availability of SQL Server 2016, the world’s fastest and most price-performant intelligence database for HTAP (Hybrid Transactional and Analytical Processing) with updateable, in-memory columnstores and advanced analytics through deep integration with R Services. As we officially move into the data-driven intelligence era, we continue to bring new capabilities to more applications, environments and users than ever before. Today, we’re making several announcements to bring even more value to our customers. 1 ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back. Below is our fourth edition. 5 Excel Add Ins Every Data Scientist Should Install Java versus Python Step-by-step video courses for Deep Learning and Machine Learning MUMPS – The Most Important Database You (Probably) Never Heard Of ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  Here’s some background on how 3rd generation Spiking Neural Nets are progressing and news about a first commercial rollout. Recently we wrote about the development of AI and neural nets beyond the second generation Convolutional and Recurrent Neural Nets (CNNs / RNNs) which have come on so strong and dominate the current conversation about deep learning.  Our research shows that the next generation of neural nets is most likely to be led by Spiking Neural Nets (SNNs) that are a return to the ‘strong’ AI tradition and closely ... Read More