Publicly Available Big Data Sets
Public Data sets on Amazon AWS Amazon provides following data sets : ENSEMBL Annotated Gnome data, US Census data, UniGene, Freebase dump Data transfer is 'free' within Amazon eco system (within the same zone) AWS data sets InfoChimps InfoChimps has data marketplace with a wide variety of data sets. InfoChimps market place Comprehensive Knowledge Archive Network open source data portal platform data sets available on datahub.io from ckan.org Stanford network data collection Open Flights Crowd sourced flight data Flight arrival data
Machine Learning Repository: Amazon Commerce reviews set Data Set
Source: Dataset creator and donator: ZhiLiu, e-mail: liuzhi8673 '@' gmail.com, institution: National Engineering Research Center for E-Learning, Hubei Wuhan, China Data Set Information: dataset are derived from the customers’ reviews in Amazon Commerce Website for authorship identification.
Finding Data on the Internet
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Machine Learning - Course website
Chris Thornton This course teaches the theory and practice of machine learning using a mixture of demos, lectures and labs. Instructions for lab sessions
IT Operations Analytics
In the fields of information technology and systems management, IT Operations Analytics (ITOA) is an approach or method applied to application software designed to retrieve, analyze and report data for IT operations. ITOA has been described as applying big data analytics to large datasets where IT operations can extract unique business insights.[1][2] In its Hype Cycle Report, Gartner rated the business impact of ITOA as being ‘high’, meaning that its use will see businesses enjoy significantly increased revenue or cost saving opportunities.[3] By 2017, Gartner predicts that 15% of enterprises will use IT operations analytics technologies to deliver intelligence for both business execution and IT operations.[2] Definition[edit]
UCI Machine Learning Repository: Dermatology Data Set
Source: Original Owners: 1. Nilsel Ilter, M.D., Ph.D., Gazi University, School of Medicine 06510 Ankara, Turkey Phone: +90 (312) 214 1080 2. H.
Data Visualisation: What's the big deal?
The concept of using pictures to understand complex information — especially data — has been around for a very long time, centuries in fact. One of the most cited examples of statistical graphics is Napoleon’s invasion of Russia mapped by Charles Minard. The maps showed the size of the army and the path of Napoleon’s retreat from Moscow. It also included detailed information like temperature and time scales, providing the audience with an in-depth understanding of the event.
50 external machine learning / data science resources and articles
Data Science Central 50 external machine learning / data science resources and articles by Vincent Granville
Analytics: Turning a Flood of Data into Valuable Information
The benefits that come from data analytics are many — it's helped reduce inmate populations, improve reliability of emergency medical services and reduce traffic fatalities, to name just a few. Though some government agencies are slow to embrace it due to limited capital or sheer intimidation in the face of disparate systems and fragmented technologies, others have taken hold of the proverbial horns and started the process of improving their daily operations by way of the data. And during the California Technology Forum held Aug. 11 in Sacramento, state and local officials delved into the insights gained from the exponential increase of data — and where teams need to focus their energy to turn this flood of data into valuable information. “From that, I understood that big data wasn’t just the amount of data we were talking about," he said. "There are many other things we need to consider.”
Figuring Out How IT, Analytics, and Operations Should Work Together
A new set of relationships is being formed within companies around how people working in data, analytics, IT, and operations teams work together. Is there a “right” way to structure these relationships? Data and analytics represent a blurring of the traditional lines of demarcation between the scope of IT and the responsibilities of operating divisions. Consider the core mission of the modern IT department: Taking in all the technology “mess” (often from several different divisions), developing the necessary competencies, and delivering savings and efficiency to the company.
Big Data: Top 100 Influencers and Brands
The Big Data technology and services market is one of the fastest growing, multi-billion dollar industries in the world. This market is expected to grow at a 26.4% compound annual growth rate to $41.5 billion through to 2018. Big Data has already become an essential part of our everyday lives. The collection, storage and analysis of enormous amounts of data allows us to track all of our online activity, look up and store our bank statements, shop efficiently, or engage in social media. Big data is also being used by companies to improve customer service, monitor the condition of individuals cars, or contribute to economic development. It has significantly enhanced our day to day lives and this trend will only continue as the capabilities of big data grows in the coming years.
Machine Learning Explained: Algorithms Are Your Friend
We hear the term “machine learning” a lot these days, usually in the context of predictive analysis and artificial intelligence. Machine learning is, more or less, a way for computers to learn things without being specifically programmed. But how does that actually happen? The answer is, in one word, algorithms.
What Led to the Recent Huge Buzz Around Analytics?
Price discrimination and downward demand spiral are widely used analytical concepts and practices in the Airlines and Hospitality industries respectively, long before the term Big Data Analytics was even coined. Incidentally, these concepts have been taught in global elite b-schools for decades. So why are analytics, which has been there in practice for decades, experiencing a meteoric rise suddenly? To answer this question, we need to get the Big Picture. Below are key factors that led to the huge buzz around analytics today. The Proliferation of Data Sources – Every day we create 2.5 quintillion bytes of data.
The Data within Big Data and the myth around Unstructured Data - Cognitive Today :The New World of Cognition and Advanced Analytics
There has been a lot of talk about the unstructured data since the conversation around big data started or shall we say that one of the reason of big data’s existence is the introduction and incorporation of unstructured data and its overlay onto the ever existing structured data. But a million dollar question is “What is Unstructured Data?”. So lets spend sometime clarifying the myths around unstructured data and how it is being leveraged by various organizations. The variety component of Big Data talks about utilizing various data types.
