Blog

Explore content produced by the UC Berkeley School of Information's online graduate programs.


Harald Haas: Wireless Data From Every Light Bulb

In this 2011 TED Talk, Harold Haas describes how he became motivated to find an alternative to our current system of wireless data transmission. His light-fidelity (Li-Fi) wireless data transmission system through LED lighting solves issues of capacity, efficiency, availability, and security in our current radio-frequency transmission system.

Big Data and Higher Education [Infographic]

More than 6.7 million students took an online course in 2011…were you one of them?Education and Skills 2.0: New Targets and Innovative Approaches, a new book from the World Economic Forum’s Global Agenda Council on Education and Skills, says that at scale, higher education’s migration to online will redefine what it means to provide a great education to students.

Top Trends: Wearable Technology

Losing weight is consistently one of the top new year’s resolutions made by Americans. But how to go about this admittedly lofty task? Some approach this with exercise, some with diet…or you could try out one of the hottest trends in consumer data science: “wearable tech.”

Michael Nielsen: Open Science Now!

In this 2011 TED Talk, quantum physicist turned writer Michael Nielsen explains the need for a second revolution of open science that translates to the data science world. Due to today’s available technologies, Nielsen sees incredible potential for immediate global collaboration that could advance science at a rate never thought possible.

Exploring Open Data Sets

It’s always fascinating to take a look at the data visualizations and in-depth reports widely available on the web. As an aspiring (or active) data scientist, however, one of the best things you can do to learn about a particular field is to get your own hands dirty. Here, we’ve compiled a list of sites that host open and free data sets for anyone to use.

A Resurgence of Neural Networks in Machine Learning

Guest author Dan Gillick of Google explains the recent resurgence of neural networks in the field of machine learning. In just under three years, these models have helped to substantially reduce Word Error Rate (WER) for automatic speech recognition systems.