InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Designing an Ethical Chatbot
Steve Worswick talks about the tips and tricks he uses when designing a chatbot to ensure it remains an ethical product and family-friendly without being corrupted by trolls and abusive users.
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Streaming Log Analytics with Kafka
Kresten Thorup discusses how and why they use Kafka internally and demos how they utilize it as a straightforward event-sourcing model for distributed deployments.
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Panel: First Steps with Machine Learning
The panelists discuss the first principles to follow when adding ML to a system.
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Panel: Sequential Data
The panelists discuss how the different fields within sequential data processing can benefit from each other, what the future trends are that we expect and take questions.
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Artificial Pancreas System: #WeAreNotWaiting in Healthcare
Dana Lewis discusses open source innovation in unexpected places and how we can democratize data (and innovation processes) to enable more people to solve the most pressing problems in their lives.
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Learning from Machines
Ashi Krishnan discusses biological and artificial minds, exploring how models of cognition informed by ML and computation can help reconfigure processes of being.
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Powering Data Science with AWS Athena & QuickSight
Matthew Bill and Danielle Ashley demo how to use Athena and QuickSight to visualise data into a rich set of dashboards.
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Creating a Trusted Narrative for Data-Driven Technology
Indra Joshi talks about the hype and promise surrounding AI-based technology within health and care, and how to ensure that what gets developed or commissioned is ethically developed.
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Deep Learning with Audio Signals: Prepare, Process, Design, Expect
Keunwoo Choi introduces what the audio/music research societies have discovered while playing with deep learning when it comes to audio classification and regression.
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DeepRacer and DeepLens, Machine Learning for Fun! (and Profit?)
Jeremy Edberg shares his work with DeepRacer and DeepLens, talking about some of the basics of ML used in these projects and showing a DeepRacer in action.
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Reinforcement Learning: A Gentle Introduction with a Real Application
Christian Hidber shows “how” and “why” Reinforcement Learning works, using as a practical example siphonic roof drainage.
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Policing the Capital Markets with ML
Cliff Click talks about SCORE, a solution for doing Trade Surveillance using H2O, Machine Learning, and a whole lot of domain expertise and data munging.
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