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Intended for architects and senior developers.
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Emmanuel Ameisen, Head of AI at Insight, on Building a Semantic Search System for Images
On this week’s podcast, Wes Reisz talks to Emmanuel Ameisen, head of AI for Insight Data Science, about building a semantic search system for images using convolution neural networks and word embeddings, how you can build on the work done by companies like Google, and then explores where the gaps are and where you need to train your own models.
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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.
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Applied AI & ML conference for software engineers
April 15-17, 2019
San Francisco, California
Discover emerging AI trends, essential tools, and how to apply AI in your software projects.
QCon.ai Tracks
- Deep Learning in Practice
- Papers in Production: Modern CS in the Real World
- Predictive Architectures in the Real World
- AI Meets the Physical World
- Groking Timeseries & Sequential Data
- Solving Software Engineering Problems with Machine Learning
Featured Talk
Applying Deep Learning To Airbnb Search
Machine Learning Engineer @Airbnb
Malay Haldar
“High quality talks from the innovators in the industry with no sales pitch. Helped me to get a much broader and deeper understanding on where AI is headed and some of the areas where it is actively applied.”
QCon.ai at a glance
- 6 tracks across 2 days
- 1 day of optional workshops
- 35+ speakers from early adopter companies
- Practitioners over evangelists
- Never any hidden marketing
- Peer sharing opportunities
