Hello World - Machine Learning Recipes #1
What it is
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.
Why Hacker News recommends it
HN commenters recommend it as an approachable first step into machine learning for programmers, with an apples-vs-oranges classifier.
- 6 people recommended it
- 5 different months
- 0 strong recommendations
- first 2016, last 2017
What HN commenters said
“This series by Josh Grodin got started recently and looks promising.”
Promising beginner machine learning video series.
simulate, 2016-04 · Recommendation · in “TensorFlow Simplified Interface Examples”
“2. Write basic Machine Learning code”
Step for writing basic machine learning code.
max_, 2016-06 · Recommendation · in “Ask HN: From programming to AI, how?”
“you'll be able to do cool stuff with machine learning.”
Accessible Google series for getting started with machine learning.
mliker, 2016-09 · Recommendation · in “How a Japanese cucumber farmer is using deep learning and TensorFlow”
“scikit-learn is a better way to get started with machine learning.”
Scikit-learn based intro to machine learning.
iverjo, 2016-10 · Recommendation · in “Announcing YouTube-8M: A Large and Diverse Labeled Video Dataset for Research”
“Very approachable! The first lesson is a classifier to separate apples and oranges.”
Approachable intro building an apples vs oranges classifier.
kbaker, 2016-10 · Recommendation · in “Ask HN: How to get started with machine learning?”
“Machine Learning Recipes from Josh Gordon at Google”
Video series to take a beginner into ML.
goldenbeet, 2017-05 · Recommendation · in “Ask HN: Good book to start programming for 15 yo?”
Excerpts from Hacker News comments, linked to the originals. Summaries and labels were written by a language model from those comments.
Topics: machine learning, scikit-learn, python, classifier, supervised learning
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