Overview
Build a Learning Habit
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Discover how to harness your data analysis superpowers in this 43-minute conference talk from GOTO Berlin 2018. Explore the combination of Google cloud services like Dataflow, BigQuery, and AutoML with modern Python tools to analyze and visualize practical questions. Learn how to leverage the vast amount of data and powerful computing resources available to the average person today. Follow along as Marc Cohen, a Developer Advocate at Google, demonstrates real-world applications including analyzing HTTP archives, exploring GitHub data, and building a machine learning model to detect Miko cats. Gain insights into cloud-based data processing, machine learning workflows, and app development techniques that will enhance your ability to tackle complex data challenges.
Syllabus
Intro
Background
My History
BigQuery
HTTP Archive
GitHub Archive
Miko Detector
Building an App
Dr Beck
Generating the model
Architecture diagram
Learning
Seed Bank
Taught by
GOTO Conferences