dotGo 2017- Diana Ortega - Go and data, can they ever be friends?
dotGo 2017 - JBD - Go's work stealing scheduler
dotGo 2017 - Sameer Ajmani - Simulating a real-world system in Go
dotGo 2017 - Daniel Martí - Reducing Go programs
Exp101 Sess2 pt1
Iris - How to Enable High-level Color API
Diana Ortega montando Cappela el 13 de Mayo del 2017
dotGo 2019 - Olivier Wulveryck - ONNX-Go, neural networks made easy
dotGo 2016 - Franz Eichhorn - Go machine learning at large scale
A day at dotGo 2015
dotGo 2015 - Verónica López - Beyond the Distributed System
GoCV demo
DATA SCIENCE GO 2017 - FOCUS ON WHAT REALLY MATTERS
Learn Neural Networks With Go - Not Math! by Ellen Korbes
dotGo 2019 - Ellen Körbes - Go For Phallic Object Generation
dotGo 2016 - Javier Provecho Fernández - Building smaller Go binaries
Capital Go 2017 - Reproducible Data Processing with Go by Daniel Whitenack
GopherCon UK 2018: Daniela Petruzalek - The Best Feature of Go
Gophercar self-driving at Gophercon 2018
Deep learning in Go - Present and future - GopherCon SG 2019
Machine Learning with Go: Representing Time Series Data in Go| packtpub.com
Machine Learning with Go: Understanding Neural Net Jargon| packtpub.com
GothamGo 2018 - Using TensorFlow with Go by Natalie Pistunovich
GopherCon UK 2018: David Hernandez - Secrets about using Machine Learning and Go
BathRuby 2016 - Lightning Talks Part One