Hello World - Machine Learning Recipes #1
Hello World - Machine Learning Recipes #1 on HackerTube: recommended by 6 Hacker News commenters across 5 separate months, 2016–2017.
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.
What HN commenters said
6 Hacker News comments link this video. Each one links back to its thread.
goldenbeetMay 2017Recommends
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]
in “Ask HN: Good book to start programming for 15 yo?” · View on HN
iverjoOct 2016Recommends
I'd say scikit-learn is a better way to get started with machine learning. Check this out, for example: ▶ this video
in “Announcing YouTube-8M: A Large and Diverse Labeled Video Dataset for Research” · View on HN
kbakerOct 2016Recommends
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
in “Ask HN: How to get started with machine learning?” · View on HN
mlikerSep 2016Recommends
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.
in “How a Japanese cucumber farmer is using deep learning and TensorFlow” · View on HN
max_Jun 2016Recommends
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 some important concepts, [link] - 5. Finnish off. [link]
in “Ask HN: From programming to AI, how?” · View on HN
simulateApr 2016Recommends
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]
in “TensorFlow Simplified Interface Examples” · View on HN