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#scikit-learn#supervisedlearning#decisiontree

Hello World - Machine Learning Recipes #1

Google for Developers

2.6M subscribers • 20 videos on Hallway

YouTube
  • Recommended by 7 people: 6 on Hacker News and 1 on Lobsters.
  • Presented by Josh Gordon, Developer Advocate at Google
  • May be out of date. Uploaded 10 years ago, in an area where tools change fast.

Beginner. No background in the topic needed.

2.6M views10 years ago7 recommendations

AI and machine learningClassic machine learningPython

Josh Gordon introduces supervised machine learning by building a simple decision tree classifier in Python using scikit-learn.

Six lines of Python is all it takes to write your first machine learning program! In this episode, we'll briefly introduce what machine learning is and why it's important. Then, we'll follow a recipe for supervised learning (a technique to create a classifier from examples) and code it up. Follow twitter.com/random_forests for updates on new episodes! Subscribe to the Google Developers: goo.gl/mQyv5L - Subscribe to the brand new Firebase Channel: goo.gl/9giPHG And here's our playlist: goo.gl/KewA03

Why it's here

7 people recommend this

What people say. Recommended as an extremely approachable and quick introduction to writing your first machine learning code.

avon Lobsters • Recommends

Hello World - Machine Learning Recipes #1 - Series by Google Here's a link to playlist - link to this video

simulateon Hacker News • Recommends

On “TensorFlow Simplified Interface Examples”

This series by Josh Grodin got started recently and looks promising. I assume they will eventually cover neural network / deep learning basics. Hello World - Machine Learning Recipes #1 link to this video Visualizing a Decision Tree - Machine Learning Recipes #2 link

max_on Hacker News • Recommends

On “Ask HN: From programming to AI, how?”

…ed to understand before you get in. The point: AI does not come with the "batteries included". If you are in deed a noob you MUST learn the prerequisites. Follow these steps in order and I guarantee you will be competent with AI in six months tops.(from my past experience) - 1. Know what AI actually is link - 2. Write basic Machine Learning code link to this video - 3. Understand the Mathmatics involved link - 4. Get some important concepts, link - 5. Finnish off. link…

mlikeron Hacker News • Recommends

On “How a Japanese cucumber farmer is using deep learning and TensorFlow”

Honestly, it doesn't seem that complicated. Just watch this educational video series link to this video by Google, and you'll be able to do cool stuff with machine learning.

iverjoon Hacker News • Recommends

On “Announcing YouTube-8M: A Large and Diverse Labeled Video Dataset for Research”

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

kbakeron Hacker News • Recommends

On “Ask HN: How to get started with machine learning?”

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. link to this video

goldenbeeton Hacker News • Recommends

On “Ask HN: Good book to start programming for 15 yo?”

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 link to this 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