Hello World - Machine Learning Recipes #1
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.
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.
Recommended by 6 HN commenters across 5 different months, 2016 to 2017.
What Hacker News said
Recommends simulate · 2016-04 · 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 [this video] Visualizing a Decision Tree - Machine Learning Recipes #2 [LINK]
Recommends max_ · 2016-06 · on “Ask HN: From programming to AI, how?”
Hello, my background is just like yours. Assuming you are a total noob I learned that AI is not like programming, where anyone with basic knowledge of computation can dive in. You can NOT just learn AI by reading other people's code. Its like Physics, there are solid principles you need 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 [this video] - 3. Understand the Mathmatics involved [LINK] - 4. Get s
Recommends mliker · 2016-09 · 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 [this video] by Google, and you'll be able to do cool stuff with machine learning.
Recommends iverjo · 2016-10 · 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: [this video]
Recommends kbaker · 2016-10 · 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. [this video]
Recommends goldenbeet · 2017-05 · 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 [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]