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What Is Big Data? - datascience@berkeley

What Is Big Data? - datascience@berkeley | Data Science | Scoop.it
What is Big Data? To settle the question once and for all, we asked 40+ thought leaders in publishing, fashion, food, automobiles, medicine, marketing and every industry in between how exactly they would define the phrase “Big Data.” Their answers might surprise you!
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A Very Short History Of Big Data

A Very Short History Of Big Data | Data Science | Scoop.it
The story of how data became big starts many years before the current buzz around big data.
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The three '..tives' of business analytics; predictive, prescriptive, descriptive [VIDEO]

"There are major changes afoot in the world of analytics as the familiar concept of business analytics yields to the less familiar world of predictive analytics.  As it turns out, predictive analytics holds the key to unlocking the business value of Big Data, as the foremost analytics authority, Harvard Business School visiting professor Tom Davenport, reveals."

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Google Analytics Tutorial: 8 Valuable Tips To Hustle With Data! - Occam's Razor by Avinash Kaushik

Google Analytics Tutorial: 8 Valuable Tips To Hustle With Data! - Occam's Razor by Avinash Kaushik | Data Science | Scoop.it
Eight recommendations for unlocking the full value of Google Analytics, and strategies for doing incredible digital data analysis.
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Big Data [sorry] & Data Science: What Does a Data Scientist Do?

"What 'kind of things' does a data scientist do? What are the foundations and principles of data science? What is a Data Product? What does the data science process look like?"

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Blog | Pervasive Big Data - Does Machine Learning + Predictive Analytics = Asimov’s Psychohistory?

Blog | Pervasive Big Data - Does Machine Learning + Predictive Analytics = Asimov’s Psychohistory? | Data Science | Scoop.it

In this blog entry, Paige Roberts asks whether using big data and predictive analytics to predict individual behaviors and preferences should make us a little uneasy.  

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Lecture on Twitter and Big Data Analytics | VIDEO

In this lecture from UC Berkeley, Marti Hearst discusses Twitter and Big Data Analytics.

 

"How to store, process, analyze and make sense of Big Data is of increasing interest and importance to technology companies, a wide range of industries, and academic institutions. In this course, UC Berkeley professors and Twitter engineers will lecture on the most cutting-edge algorithms and software tools for data analytics as applied to Twitter microblog data. Topics will include applied natural language processing algorithms such as sentiment analysis, large scale anomaly detection, real-time search, information diffusion and outbreak detection, trend detection in social streams, recommendation algorithms, and advanced frameworks for distributed computing. Social science perspectives on analyzing social media will also be covered."

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