Master Agentic AI, GANs, Fine-Tuning & LLM Apps
AI Engineer - Learn how to integrate AI into software applications
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Explore the Go developer community through data analysis and machine learning techniques in this GopherCon 2016 talk by Donnie Berkholz. Dive into metrics, container traction, and competitive landscapes while learning about tools like OpenHub and GoHacker. Gain insights on comparing different technologies, analyzing real-world usage, and conducting sentiment analysis. Discover how to interpret module counts, understand contribution rates, and avoid overinterpretation of data. This presentation offers a unique perspective on the Go ecosystem, blending statistical analysis with practical observations to provide a comprehensive view of the programming language's community and adoption trends.
Syllabus
Intro
Rob Pike
Metrics
Machine Learning
Dont overinterpret
Container traction
Comparing different technologies
Config management
OpenHub
Monthly Contributors
Competitive Landscape
RealWorld Usage
Open Hub
Module Counts
Comparing apples and oranges
The MPN
Go
Hacker News
Rates
Sentiment Analysis
Taught by
Gopher Academy