The Data Exchange Podcast: Krishna Gade on transparency and explainability in machine learning.
Scalable Machine Learning, Scalable Python, For Everyone
The Data Exchange Podcast: Dean Wampler on Ray, distributed systems, and Scala and Python.
Computational humanness, analogy and innovation, and soft concepts
The Data Exchange Podcast: Dafna Shahaf on enabling computers to augment human cognition in novel ways.
Building domain specific natural language applications
The Data Exchange Podcast: David Talby on Spark NLP and turning NLP research into enterprise solutions.
The state of privacy-preserving machine learning
The Data Exchange Podcast: Morten Dahl on TF Encrypted, federated learning, coopetitive learning, and other privacy tools for ML.
Taking messaging and data ingestion systems to the next level
The Data Exchange Podcast: Sijie Guo on how Apache Pulsar is able to handle both queuing and streaming, and both…
Issue #3: Trends, Business at the Speed of AI, and ML Tools
Recommendations: Inspired by Lauren Greenfield’s excellent documentary (“The Kingmaker”), I collected some quotes on disinformation that might prove handy in this election…
Business at the speed of AI: Lessons from Rakuten
The Data Exchange Podcast: Bahman Bahmani on attracting and retaining talent, and the importance of delivery-oriented teams.
The combination of the right software and commodity hardware will prove capable of handling most machine learning tasks
The Data Exchange Podcast: Nir Shavit on multicore software, neurobiology, and deep learning.
Key AI and Data Trends for 2020
The Data Exchange Podcast: Mikio Braun and Ben Lorica on tools, models, applications, and risks to look out for in…