Reinforcement learning for the birds
Much like human speech, bird song learning is social; perhaps we'll discover machine learning is social, too.
Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML).
Much like human speech, bird song learning is social; perhaps we'll discover machine learning is social, too.
The O’Reilly Data Show Podcast: Maryam Jahanshahi on building tools to help improve efficiency and fairness in how companies recruit.
A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts.
Consent is the first step toward the ethical use of data, but it's not the last.
The O’Reilly Data Show Podcast: Andrew Burt on the need to modernize data protection tools and strategies.
The program for our Artificial Intelligence Conference in New York City will showcase tools, best practices, and use cases from companies leading the way in AI adoption.
How new developments in automation, machine deception, hardware, and more will shape AI.
From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data.
The O’Reilly Data Show Podcast: Haoyuan Li on accelerating analytic workloads, and innovation in data and AI in China.
The O’Reilly Data Show Podcast: Ben Lorica looks ahead at what we can expect in 2019 in the big data landscape.
The O’Reilly Data Show Podcast: Alex Wong on building human-in-the-loop automation solutions for enterprise machine learning.
The O’Reilly Data Show Podcast: Vitaly Gordon on the rise of automation tools in data science.
Considerations for a world where ML models are becoming mission critical.
The O’Reilly Data Show Podcast: Francesca Lazzeri and Jaya Mathew on digital transformation, culture and organization, and the team data science process.
Omoju Miller outlines a vision where we harness human action for a better future.
The O’Reilly Data Show Podcast: Alon Kaufman on the interplay between machine learning, encryption, and security.
Kristian Hammond maps out simple rules, useful metrics, and where AI should live in the org chart.
Supasorn Suwajanakorn discusses the possibilities and the dark side of building artificial people.