ENTRIES TAGGED "analysis"
In the previous two years, since the last State of the Computer Book Market posts, the tech book market has been going through some major changes.
Data acquisition for a site like CrunchBase may not carry the costs some assume.
The data acquisition process should be increasingly automatic, and so increasingly cheap. I'm hoping for a world where information producers are paid for extracting value from that data.
How a days-long data process was completed in minutes.
We recently faced the type of big data challenge we expect to become increasingly common: scaling up the performance of a machine learning classifier for a large set of unstructured data. In this post, we explain how a set-oriented approach led to huge performance gains.
Stefan Groschupf on the 3 important steps for working with big data.
Datameer CEO Stefan Groschupf wants to reduce the distance between data analysis and data decisions.
What IBM's acquisition of Netezza means for enterprises.
Netezza sprinkled an appliance philosophy over a complex suite of technologies, making it easier for enterprises to get started. But the real reason for IBM's offer was that the company reset the price/performance equation for enterprise data analysis.
How aggregated data sources and deep analysis are helping Haiti relief efforts
A host of relief organizations quickly converged on Haiti in the wake of January's earthquake. But each group had its own data, its own structures, and sometimes, its own language. In this guest post, Palantir Technologies software engineer Ari Gesher explains how his company helped important data spread across organizations.
This is the sixth post for the Twitter Approval Matrix with data that spanned the month of November and different sources such as klout.com, tweetsentiment.com, twopular.com, scraping archives, and observations. This month I received help from Joe Fernandez the CEO of Klout.com. I have included Twitter Trends which is simply the raw trend found on Twitter. The matrix shows four quadrants used to describe trends found on Twitter.
I’m getting tired of reading about whether Alpha is a Google-killer. I’ve seen Stephen Wolfram’s presentations a couple of times; he’s quite careful to say that it isn’t. There’s a fundamental difference that many people out there are just missing. Google is a search engine. Alpha looks like a search engine, but it isn’t; it’s all about curated data, and the analysis of that data. What’s the difference? Look at one simple query: “earth circumference”.