Tag: data scientist

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  Solving Image Processing Problems with Python - Part 1 Getting Started with NLP: Simple Topic Modeling in R - Part 1 Deploying Machine Learning Models on Spark Structured Streaming  General Myths to avoid in Data Science and Machine Learning  Neural Networks from a Bayesian Perspective  Comparison of the Top Cloud APIs for Computer Vision  A Little College Sports Analysis, but ... Read More

Feed: SAS Blogs. Author: Alison Bolen. Get ready to have your mind blown. Whether or not you plan to attend Analytics Experience in San Diego on September 17, you'll be inspired by the speakers we have lined up to keynote the event. There's an inventor. A data scientist. A world class athlete. And a photographer. They've all pushed boundaries, performed magic and done what many thought to be impossible. Watch the videos below to be inspired, and if you can, make plans to come meet them at Analytics Experience in September. 1. Dreaming it into fruition Mick Ebeling, Founder and ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Pratik Kanada. A list of machine learning frameworks has come into the picture for the development and deployment of the AI apps. These frameworks will ditch the entire flow of development, testing, optimization, and final production. Developers are quite bewildered which framework to pick and which to ditch. Some of the frameworks would focus on the easy usability while others may put emphasis on the production deployment and parameter optimization. Every framework will have highs and lows of their own. They would have their own areas of excellence and downfalls making ... Read More

Feed: All - O'Reilly Media. Author: Ben Lorica. AEDC’s 16-foot supersonic wind tunnel test facility (source: Phil Tarver, Arnold Engineering Development Center, U.S. Air Force on Wikimedia Commons) Check out the great series of talks on model lifecycle management at the Strata Data Conference in New York, September 11-13, 2018. In this episode of the Data Show, I spoke with Harish Doddi, co-founder and CEO of Datatron, a startup focused on helping companies deploy and manage machine learning models. As companies move from machine learning prototypes to products and services, tools and best practices for productionizing and managing models are ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Packt Publishing. With the rise of IoT devices (Internet of Things), being able to analyze and visualize live streams of data is becoming more and more important. For example, you could have sensors like thermometers in machines or portable medical devices like pacemakers, continuously streaming data to a streaming service like Kafka. PixieDust makes it easier to work with live data inside Jupyter Notebooks by providing simple integration APIs to both the PixieApp and display() framework.   On the visualization level, PixieDust uses Bokeh support for efficient data source update to plot streaming ... Read More

Feed: R-bloggers. Author: R Views. Last month, I was delighted to be invited to speak, along with Hadley Wickham, at the seventy-first meeting of the TokyoR user group in Tokyo, Japan. This day-long mini-conference attracted more than 200 attendees and featured 16 talks that covered a wide range of topics, including two near-real-time analyses of World Cup Soccer games (here and here) and an analysis of wind direction with circular data and autogressive processes (here). The tone of the talks ranged from light-hearted to business-serious. The slides for most of the presentations can be found here. If you scan through ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vibhor Nigam. What is Machine Learning, Data Science or Artificial Intelligence? is one of the most common questions which I have faced from people. Be it newcomers, recruiters or even people in leadership positions, this is a question which is puzzling everyone in its own way.For beginners it takes the form of how do I become a data scientist? For leaders it becomes a question of whether it has an imperative business impact? and for people in the field it takes the form of what I should call myself, a data ... Read More

Feed: R-bloggers. Author: Mango Solutions. Terms (common examples) Definition for… … a data scientist … a data science manager … a business director Data Science An interdisciplinary field spanning mathematics, statistics and computer science aimed at delivering insights from data using a variety of technologies and methodologies. An interdisciplinary business function making use of predictive and prescriptive analytics to make better business decisions. The proactive use of data and advanced analytics to drive better decision making. Descriptive Analytics Examination of historical data to understand the changes occurring to a business. Used to answer the question “what happened?” Diagnostic Analytics Examination ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary: There are some interesting use cases where combining CNNs and RNN/LSTMs seems to make sense and a number of researchers pursuing this.  However, the latest trends in CNNs may make this obsolete. There are things that just don’t seem to go together.  Take oil and water for instance.  Both valuable, but try putting them together?  That was my reaction when I first came across the idea of combining CNNs (convolutional neural nets) and RNNs (recurrent neural nets).  After all they’re optimized for completely different problem types. CNNs are ... Read More

Feed: Microsoft Azure Blog. Author: Rob Caron. Now in preview Announcing the public preview of Windows Container Support in Azure App Service - Windows Server Containers in Web App are now available in public preview. Azure App Service provides pre-defined application stacks on Windows like ASP.NET or Node.js, running on IIS. The preconfigured Windows environment locks down the operating system from administrative access, software installations, changes to the global assembly cache, and so on. If your application requires more access than the preconfigured environment allows, you can deploy a custom Windows container instead. Azure App Service caches several parent images ... Read More