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Hello World - Machine Learning Recipes #1

Google for Developers · 2.7M views · 2016-03-30 · 6:53

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Overview

The first episode of Google's Machine Learning Recipes series. It introduces machine learning and builds a first supervised-learning classifier in about six lines of Python using scikit-learn.

On Hacker News

HN commenters recommend it as an approachable first step into machine learning for programmers, with an apples-vs-oranges classifier.

Recommended by 6 HN people across 5 months · HN mentions 2016–2017

Topics

Machine learning & deep learningPython, Ruby & scripting languages
Search by tags
machine learningscikit-learnpythonclassifiersupervised learning

What people said

goldenbeet · 2017-05 · Recommendation

Why book? I don't know about you or your cousin, but learning from a book is so slow and dry. Why not a video series or online tutorial? Hell, maybe teach him the basics and build a small project with him. Codecademy is a great way to learn a bit of syntax and then build something. 'How to make a website' is a good intro course for getting into web dev. There's also a lot of good python basic videos on YouTube, then he could dive into ML/AI with: Machine Learning Recipes from Josh Gordon at Google [VIDEO] Siraj Raval's channel on ML/AI/Programming [LINK] All that said, if you reallllly want a book: "Learn Python the hard way" by Zed Shaw [LINK]

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iverjo · 2016-10 · Recommendation

I'd say scikit-learn is a better way to get started with machine learning. Check this out, for example: [VIDEO]

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kbaker · 2016-10 · Recommendation

You could watch the 'Hello World' Machine Learning Recipes videos by Josh Gordon at Google. Very approachable! The first lesson is a classifier to separate apples and oranges. [VIDEO]

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Sources

Video by Google for Developers, played through YouTube.

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