The O’Reilly Data Show Podcast: Michael Mahoney on developing a practical theory for deep learning. In this episode of the … More
Author: Ben Lorica
How New Tools In Data And AI Are Being Used In Healthcare And Medicine
An overview of applications of new tools for overcoming silos, and for creating and sharing high-quality data. By Ben Lorica … More
Becoming a machine learning practitioner
The O’Reilly Data Show Podcast: Kesha Williams on how she added machine learning to her software developer toolkit. In this … More
One simple chart: Who is interested in Apache Pulsar?
Multi-layer architecture, scalability, multitenancy, and durability are just some of the reasons companies have been using Pulsar. By Ben Lorica … More
How organizations are sharpening their skills to better understand and use AI
To successfully implement AI technologies, companies need to take a holistic approach toward retraining their workforces. Continuous learning is critical … More
Labeling, transforming, and structuring training data sets for machine learning
The O’Reilly Data Show Podcast: Alex Ratner on how to build and manage training data with Snorkel. In this episode … More
Got speech? These guidelines will help you get started building voice applications
Speech adds another level of complexity to AI applications – today’s voice applications provide a very early glimpse of what … More
Make data science more useful
The O’Reilly Data Show Podcast: Cassie Kozyrkov on connecting data and AI to business. In this episode of the Data … More
One simple graphic: Researchers love PyTorch and TensorFlow
Interest in PyTorch among researchers is growing rapidly. In a recent survey—AI Adoption in the Enterprise, which drew more than … More
Acquiring and sharing high-quality data
The O’Reilly Data Show Podcast: Roger Chen on the fair value and decentralized governance of data. In this episode of … More
