Determining the Economic Value of Data

Previous post Next post            Tweet Tags: Big Data, Business Context, Business Strategy, Economics This post introduces a data economic valuation process that uses an organization’s key business initiatives as this basis for establishing prudent value. By William Schmarzo, EMC. comments [Note: I have been trying to write this blog for several years. But instead of trying to…
Original Post: Determining the Economic Value of Data

The Big Data Ecosystem is Too Damn Big

Previous post Next post            Tweet Tags: Analytics, Big Data, Business Analytics The Big Data ecosystem is just too damn big! It’s complex, redundant, and confusing. There are too many layers in the technology stack, too many standards, and too many engines. Vendors? Too many. What is the user to do? comments By Andrew Brust, Datameer. As it stands…
Original Post: The Big Data Ecosystem is Too Damn Big

An Inside Update on Natural Language Processing

Previous post Next post            Tweet Tags: Computational Linguist, Interviews, Natural Language Processing, Seth Grimes, Text Analytics This article is an interview with computational linguist Jason Baldridge. It’s a good read for data scientists, researchers, software developers, and professionals working in media, consumer insights, and market intelligence. It’s for anyone who’s interested in, or needs to know about,…
Original Post: An Inside Update on Natural Language Processing

BigDebug: Debugging Primitives for Interactive Big Data Processing in Spark

BigDebug: Debugging Primitives for Interactive Big Data Processing in Spark Previous post Next post            Tweet Tags: Apache Spark, Big Data, Data Science An overview of a recent paper outlining BigDebug, which provides real-time interactive debugging support for Data-Intensive Scalable Computing (DISC) systems, or more particularly, Apache Spark. By Adrian Colyer, Venture Partner, Accel. BigDebug: Debugging primitives for…
Original Post: BigDebug: Debugging Primitives for Interactive Big Data Processing in Spark

From Research to Riches: Data Wrangling Lessons from Physical and Life Science

From Research to Riches: Data Wrangling Lessons from Physical and Life Science Previous post Next post            Tweet Tags: Data Scientist, Life Science, Physics, Salford Systems With a background in bioinformatics, Christian discusses his recent transition to the world of data science and the learning curve associated with this dynamic field. The Diary of a Data Scientist blog…
Original Post: From Research to Riches: Data Wrangling Lessons from Physical and Life Science

Machine Learning Trends and the Future of Artificial Intelligence

Previous post Next post            Tweet Tags: Algorithmia, Algorithms, Artificial Intelligence, Cloud, Machine Intelligence, Machine Learning The confluence of data flywheels, the algorithm economy, and cloud-hosted intelligence means every company can now be a data company, every company can now access algorithmic intelligence, and every app can now be an intelligent app. By Matt Kiser, Algorithmia. Every company is now a data…
Original Post: Machine Learning Trends and the Future of Artificial Intelligence

History of Data Mining

Previous post            Tweet Tags: About Gregory Piatetsky, Data Mining, History Data mining is a subfield of computer science which blends many techniques from statistics, data science, database theory and machine learning. Here are the major milestones and “firsts” in the history of data mining plus how it’s evolved and blended with data science and big data. comments…
Original Post: History of Data Mining

What is Your Data Worth? On LinkedIn, Microsoft, and the Value of User Data

Previous post            Tweet Tags: Business Value, Facebook, Google, LinkedIn, Microsoft, Yahoo The recent announcement of Microsoft’s acquisition of LinkedIn has raised many questions about how Microsoft will monetize this data. We examine LinkedIn value per user and compare to Google, Facebook, Yahoo, and Twitter. By Russell Walker, Northwestern. The recent announcement of Microsoft’s acquisition of LinkedIn has…
Original Post: What is Your Data Worth? On LinkedIn, Microsoft, and the Value of User Data

Political Data Science: Analyzing Trump, Clinton, and Sanders Tweets and Sentiment

Political Data Science: Analyzing Trump, Clinton, and Sanders Tweets and Sentiment            Tweet Previous post Tags: Bernie Sanders, Donald Trump, Hillary Clinton, ParseHub, Politics, Sentiment Analysis, Twitter This post shares some results of political text analytics performed on Twitter data. How negative are the US Presidential candidate tweets? How does the media mention the candidates in tweets? Read…
Original Post: Political Data Science: Analyzing Trump, Clinton, and Sanders Tweets and Sentiment

Connecting Data Systems and DevOps

Previous post Next post            Tweet Tags: Data Engineering, Data Science, Developers, DevOps, Software Engineering This post will explain why anyone transforming their company into a data-driven organization should care about software development best practices, even if they don’t consider themselves a software company. By Fausto Inestroza, Silicon Valley Data Science. We’ve discussed it before, but it’s worth mentioning…
Original Post: Connecting Data Systems and DevOps