Patrick Barker - Machine Learning in Go скачать в хорошем качестве

Patrick Barker - Machine Learning in Go

TOPIC: Machine Learning in Go Machine learning is a powerful tool we're just beginning to understand. It continues to gain traction in the industry and is projected to grow exponentially over the next decade. The current paradigm of python/c++ based ML solutions suffers a number of shortcomings. Patrick will take a look at the current state of machine learning in Go, and what advantages it may offer. Taking a look at solutions for specific problem spaces such as reinforcement learning. We'll wrap up by talking about where Go is today in the field and whats holding it back. Gold (https://github.com/aunum/gold) Is a reinforcement learning library for Go. It offers a number of ready to use RL algorithms as well as compositional tooling to create your own. Goro (https://github.com/aunum/goro) is a high level machine learning library for Go. It aims to have a similar feel to Keras, allowing the user to rapidly create useful ML solutions. SPEAKER: Patrick (https://github.com/pbarker) is an engineer for VMware. He has a passion for open source. Spends his most days on Kubernetes and his free time wandering around the hills of Boulder. --- Mile High Gophers Swag: https://teespring.com/stores/mile-hig...