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Scooped by
Jeremy Lee
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Are you looking for the most efficient and effective Top 18 Predictive Analytics Software ? Review SAS Analytics, IBM Predictive Analytics, SAP Predictive Analytics, RapidMiner,Angoss Predictive Analytics, STATISTICA, KXEN Predictive Analytics, Salford Analytics, Oracle Data Mining (ODM), TIBCO Analytics, Pervasive, Mathematica, MATLAB and Minitab
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Jeremy Lee
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It's the year 2014, and we've yet to have our flying cars and commuter jet packs. But we do have a glimpse of the future with the advent of the "internet
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Jeremy Lee
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Wolfram Community forum discussion about Results for the Scottish Independence Referendum. Stay on top of important topics and build connections by joining Wolfram Community groups relevant to your interests.
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Jeremy Lee
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Scouting howto collecting and analyzing sensor data with hadoop or other no sql databases
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Jeremy Lee
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Kinesis and Spark Streaming - Advanced AWS Meetup - August 2014
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Jeremy Lee
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Jeremy Lee
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Splunk Enterprise is fully featured, powerful platform that collects and indexes any machine data from virtually any source in real time.
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Jeremy Lee
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Scooped by
Jeremy Lee
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정보나 자료, 지식 등 전달해야 하는 내용을 시각화하여 한 페이지에 표현하는 인포그래픽. 한 장의 인포그래픽이 수천 자의 글보다 강력한 시대가 되었습니다. 인터넷이나 SNS에서 쏟아지는 콘텐츠들 속에서 한눈에 들어오는 인포그래픽은 더 눈길을 끌기 마련입니다. 그래서 많은 분들이 인포그래픽을 만들어봐야겠다는 욕심을 냈다가도 왠지 모르게 디자인 전문 지식이 있어야만 할 것 같아 금세 포기하게 되곤 하지요.
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Scooped by
Jeremy Lee
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Scooped by
Jeremy Lee
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I started using R about 3 years ago. It was slow going at first. R had tricky and less intuitive syntax than languages I was used to, and it took a while to get accustomed to the nuances. It wasn't immediately clear to me that the power of the language was bound up with the community and the diverse packages available. R can be more prickly and obscure than other languages like Python or Java. The good news is ...
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Scooped by
Jeremy Lee
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Scooped by
Jeremy Lee
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Scooped by
Jeremy Lee
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Top Free Data Mining Software: Review of 34 + top data mining freeware including KNIME, R, ML-Flex, Databionic ESOM Tools, Orange, Natural Language Toolkit, SenticNet API , ELKI , RapidMiner, SCaViS, UIMA, Weka , Chemicalize.org , Vowpal Wabbit, GNU Octave, Mlpy, MALLET, Shogun, Scikit-learn, LIBSVM, LIBLINEAR, Lattice Miner, Rattle GUI, Dlib, Apache Mahout, Jubatus, KEEL, Gnome-datamine-tools
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Jeremy Lee
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College of Natural Sciences, University of Texas at Austin
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Jeremy Lee
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The dynamic of today’s media and communication is described as “soundbite culture,” in reference to our increased consumption of information and impat...
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Jeremy Lee
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Originally, Hadoop was used as a batch analytics tool; however, this is rapidly changing, as applications move towards real-time processing and streaming. Ama…
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Jeremy Lee
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See how to use Amazon Web Services, such as Amazon Kinesis, Amazon Redshift, to do real time big data streaming and analytics.
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Jeremy Lee
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"This presentation will introduce Kinesis, the new AWS service for real-time streaming big data ingestion and processing. We’ll provide an overview of the key …
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Jeremy Lee
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Caterpillar, Deere and Komatsu and other heavy equipment makers are selling a new generation of equipment loaded with sensors, which has sent their customers in search of better software to help them make use of all the data they are collecting.
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Jeremy Lee
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By using real-time analytics of vital signs, IBM can predict when equipment will fail.
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Jeremy Lee
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In theory, cloud computing offers a fairly straightforward model for consuming compute and storage resources. Customers request capacity, it is provided by a vendor and it is paid for. Customers should be able to spin up and down resources as they need to and only pay for what they use.
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Jeremy Lee
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Start your journey to simple and powerful analytics by signing up. We'll let you know when we're ready!The first 100 signups receive a free RStudio Server account with 50MB space.
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Jeremy Lee
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Improve your Analytics skills with free online courses from Google.
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Jeremy Lee
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Former director of Apple's Siri, now on Samsung's team, describes Samsung's Internet of Things strategy as centered on SAMI, an artificial intelligence system that will aggregate sensor data from all types and brands of IoT devices in the cloud.
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