InfoQ Homepage Machine Learning Content on InfoQ
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Katharine Jarmul and Ethical Machine Learning
Today on The InfoQ Podcast, Wes talks with Katharine Jarmul about privacy and fairness in machine learning algorithms. Jarmul discusses what’s meant by Ethical Machine Learning and some things to consider when working towards achieving fairness. Jarmul is the co-founder at KIProtect, a machine learning security and privacy firm based in Germany, and is one of the three keynote speakers at QCon.ai.
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Grady Booch on Today’s Artificial Intelligence Reality and What it Means for Developers
On the podcast today, Wes Reisz and Grady Booch discuss what today’s reality is for AI. Booch answers questions like what does an AI mean to the practice of writing software, and how it seems to impact delivering software. In addition, Booch talks about AI surges (and winters) over the years, the importance of ethics in software, and host of other related questions.
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Megan Cartwright on Building a Machine Learning MVP at an Early Stage Startup
In this podcast, Megan Cartwright discusses why their customers need a more personal experience and how they're using technology to help. She also talks about how the team got to an early MVP and then how they did the same for getting to an early machine learning MVP for product recommendations. Cartwright is the director of data science for the personalized bra company ThirdLove.
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Mike Lee Williams on Probabilistic Programming, Bayesian Inference, and Languages Like PyMC3
Reisz talks with Mike Lee Williams of Cloudera’s Fast Forward Labs about Probabilistic Programming. The two discuss how Bayesian Inference works, how it’s used in Probabilistic Programming, production-level languages in the space, and some of the implementations/libraries that we’re seeing.
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Jendrik Joerdening and Anthony Navarro on Self-Racing Cars Using Deep Neural Networks
Jendrik Joerdening and Anthony Navarro describe how a team of 17 Udacity students entered a self-racing car event using a Neural Network built with using Keras and Tensorflow to steer the car and just one front-facing camera.