Learning from Tay
Whether our prejudices are overt or hidden, our artificial intelligentsia will reflect them.
Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML).
Whether our prejudices are overt or hidden, our artificial intelligentsia will reflect them.
The O’Reilly Data Show Podcast: Duncan Ross on the evolution of analytics, data mining, and data philanthropy.
Finding patterns isn't really a question about random processes; it's a question about the human brain.
Pete Warden’s instructions on building a deep learning classifier looked so simple, I had to try it myself.
Tensor methods to solve machine learning challenges: An interview with Anima Anandkumar.
The O’Reilly Data Show podcast: M.C. Srivas on streaming, enterprise grade systems, the Internet of Things, and data for social good.
The O’Reilly Data Show podcast: Fang Yu on data science in security, unsupervised learning, and Apache Spark.
The O’Reilly Data Show podcast: Joe Hellerstein on data wrangling, distributed systems, and metadata services.
The O’Reilly Data Show podcast: Eric Colson on algorithms, human computation, and building data science teams.
The O’Reilly Data Show podcast: Vasant Dhar on the race to build “big data machines” in financial investing.
Roadmaps should be driven by business goals, not technology.
The O’Reilly Data Show podcast: A fireside chat with Ben Horowitz, plus Reynold Xin on the rise of Apache Spark in China.
The O’Reilly Data Show podcast: Evan Chan on the early days of Spark+Cassandra, FiloDB, and cloud computing.
Autonomous systems and focused startups among major changes seen in past year.
The Programmer's Oath is missing one essential element: the customer.
The O’Reilly Data Show Podcast: Emil Eifrem on popular applications of graph technologies, cloud computing, and company culture.
A bridge between robust control and reinforcement learning.
How an algorithm is to a data scientist what a compound microscope is to a biologist.
The O’Reilly Data Show podcast: The Hadoop ecosystem, the recent surge in interest in all things real time, and developments in hardware.
The O’Reilly Data Show podcast: Tyler Akidau on the evolution of systems for bounded and unbounded data processing.
The O’Reilly Data Show podcast: Evangelos Simoudis on data mining, investing in data startups, and corporate innovation.
The O’Reilly Data Show podcast: Todd Lipcon on hybrid and specialized tools in distributed systems.
How to go from well-intentioned efforts to lasting impact with your data projects.
Data analysis can change an organization’s future -- but only if it’s used in the present, every day, by everyone.