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KDnuggets Home » News » 2014 » n26 ( < n25 |  n27 > )

KDnuggets™ News 14:n26, Oct 8



Features | Software | Opinions | Interviews | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets | CFP | Quote

Features

Software

  • Zingchart Interactive JavaScript Charts for Big Data - Oct 6, 2014.
    ZingChart JavaScript charting library is designed to be the perfect fit for big data projects, and is solving the chart and graph needs of developers from start-ups and the Fortune 500.
  • Taming the Internet of Things - KNIME Case Study - Sep 30, 2014.
    With increasing interest in the Internet of Things (IoT), see how KNIME can be applied to collect data from IoT sensors, enrich that data, transform it, analyze it, and finally visualize it.

Opinions

Interviews

News

Webcasts and Webinars

Courses

  • Get Started in Text Analytics - Sep 30, 2014.
    Text analytics / text mining is the natural extension of predictive analytics and has wide applications in marketing, business, and many industries. Learn text analytics with Statistics.com online program that starts Feb 6.
  • Lewis University Online MS in Data Science - Sep 25, 2014.
    The Lewis online, 36 credit hour MS in Data Science degree program teaches advanced skills to effectively solve the math and computer science issues surrounding the analysis of large data sets.

Meetings

Jobs

  • Civis Analytics: Data Scientist - Unstructured Data - Oct 7, 2014.
    Apply techniques from text analytics, machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets collected at Civis.
  • Civis Analytics: Data Scientist - Statistics (Senior and Junior roles) - Oct 7, 2014.
    Civis was founded by a team from Obama 2012 and is helping companies, non-profits, and campaigns leverage their data. Apply state-of-the-art statistical methods and develop entirely new methods to use our data in new ways.
  • Civis Analytics: Data Scientist - Engineering (Senior and Junior roles) - Oct 7, 2014.
    Founded by a team from Obama 2012, we are helping companies, non-profits, and campaigns leverage their data. Integrate, scale, and optimize our team data science methods, techniques, and best practices to run on very large datasets at high speeds.
  • Cray: Senior Data Scientist - Oct 7, 2014.
    Part of an elite data science team supporting global Fortune 100 organizations in detection, forecasting, predictive modeling and analytics to provide business insights, improve targeting, maximize return on investment, and optimize marketing efforts.
  • Amazon: Business Intelligence Engineer, Display Marketing - Oct 7, 2014.
    Provide data-driven customer and performance insights for our mobile and web digital advertising programs. Validate our success metrics, shape our strategies, and identify untapped opportunities.
  • Bell Labs: Research Data Scientist - Oct 6, 2014.
    Solve challenging problems and build analytic products with real-world impact; design and implement efficient and accurate algorithms for large scale data.
  • market research firm: SVP Research Sciences - Oct 4, 2014.
    One of the largest and most well-respected market research companies in the world is currently looking for an experienced leader to manage the Global Research Sciences team.
  • Booking: Data Scientist - Oct 3, 2014.
    Booking.com is one of the top 5 e-commerce companies in the world. Help steer the product improvements, give strategy perspective, and provide business understanding.
  • Thomson Reuters: Data Scientist - Oct 2, 2014.
    A passionate Data Scientist with a proven record of building data-driven insights to address complex business problems. Join our Data Innovation Lab and have a significant impact on our products.
  • AIG: Web Application Engineer - Oct 2, 2014.
    Work with analytics/business teams to build rapid prototypes that can be used as a proof of concept for senior executives and for testing with our user bases.
  • AIG: UI/UX Designer - Oct 2, 2014.
    Lead the design effort in creating stunning experiences and interactions for our web and mobile products, working closely with the business and technical teams.
  • Equifax: Model Risk Management Model Specialist - Oct 1, 2014.
    Perform and lead activities related to model risk matters surrounding statistical model development and validation at Equifax.
  • Amazon: Research Scientist, Forecasting - Sep 29, 2014.
    We develop sophisticated algorithms that learn from large amounts of past data, such as prices, promotions, similar products, to forecast the demand of over 10 million products.
  • CTC-CCT: Digital Research Analyst - Sep 29, 2014.
    Help inspire the world to explore Canada. Aide inspirer le monde entier à explorer le Canada. We do so by promoting a compelling and consistent image of our country in the international tourism marketplace. Apply by Oct 9.
  • Zynga: Senior Data Scientist - Sep 26, 2014.
    Working closely with game teams to identify and formalize problems around user modeling, designing and implementing models and algorithms for new problems in Social Gaming.
  • Microsoft: Data Scientists in Redmond, Boston and Mountain View - Sep 25, 2014.
    Join the excitement of Machine Learning in the Cloud at Microsoft fast-paced data science team in the Azure ML group, building machine learning powered intelligent web services and end to end solutions.
  • Top Hedge Fund: Data Scientist, Machine Intelligence Team - Sep 25, 2014.
    Join the Machine Intelligence team at one of the world's top hedge funds, led by the former head of the IBM Watson Project. You will tackle a range of problems impacting the firm's investment, business, and talent management strategies.

Academic and Research positions

Publications

  • Book: Frequent Pattern Mining - Sep 25, 2014.
    Frequent pattern mining is one of the distinguished problems in data mining. Learn about methods, domains, and applications of frequent pattern mining in this comprehensive survey of the field.
  • Predictive Analytics Using Oracle Data Miner - Sep 24, 2014.
    Learn about basic data mining concepts and how to apply data mining techniques to your data using Oracle SQL and Data Miner tools in this new book.

Top Tweets

  • Top KDnuggets tweets, Oct 3-5 - Oct 6, 2014.
    Best Programming Language for Machine Learning: R, Python, MATLAB - when yo use what; Analyzing Ebola - Is it spreading at exponential rate?; 31,000 people/hour are joining the new private social network Ello; Booking: Data Scientist.
  • Top KDnuggets tweets, Oct 1-2 - Oct 3, 2014.
    R wizard Hadley Wickham "Advanced R" book online; IPython Interactive Computing and Visualization Cookbook; Mirador, a tool for visual exploration of complex datasets; The End of the (Human) Data Scientist Bubble?
  • Top KDnuggets tweets, Sep 29-30 - Oct 1, 2014.
    Machine learning #cheatsheet on github; Great list of resources on Cloud Computing, #BigData; Excellent (but scary) demo: Can you find the nearest McDonald faster than a computer? Top 10 presentations about data science / #BigData on SlideShare.
  • Top KDnuggets tweets, Sep 26-28 - Sep 29, 2014.
    CNN embarrassing lack of "Data Quality" - this #Scotland Independence poll adds; Statistical & Machine learning with R; Any data scientist worth their salary will say you should start with a question; Automotive Customer Churn Prediction using SVM and SOM.
  • Top KDnuggets tweets, Sep 24-25 - Sep 26, 2014.
    Watch: Statistical and Machine learning with R, 15 hour online course; 50 Data Science and Statistics Blogs worth reading; Microsoft: Data Scientist; Book: Frequent Pattern Mining.
  • Top KDnuggets tweets, Sep 22-23: Machine Learning for (Smart) Dummies - Sep 24, 2014.
    Machine Learning for (Smart) Dummies: 7 week course; Ex-Googler shares his #BigData secrets, creates Quest; Predicting crime with #BigData - "Minority Report" for real; Test Your Level of Expertise with SAS, R, and Python.

CFP - Calls for Papers

Quote

Swing for the fences in everything you do; incremental research is not worth your time. Pedro Domingos, KDnuggets Interview, the Master Algorithm, new type of Deep Learning, great advice for young researchers

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