Slides and Video from JS Kongress

Slides and (video)[https://www.youtube.com/watch?v=kkp2C1fir68]

How to use it?

Here are some resources which might be helpful understanding AI and ML. I highly encourage you to start with where to start and then trying working with one of example data set which could be found in Example datasets.

Where to start

• Defining AI
• Applied Machine Learning: The Less Confusing Guide
• undergraduate machine learning at UBC 2012

JS libraries

• ConvNetJS
• synaptic.js
• Neataptic
• WebDNN
• MLweb

Regression model

• Regression Algorithms
• Regression

PCA

• PCA
• Jacobi Methods

Data Visualisation

• Quora: Best way to visualize high dimensional data

• Using Three.js for 2D Data Visualization

• Libraries
  • Echarts
  • plot.ly

DNN

• But what is a Neural Network?
• Neural Networks - A Systematic Introduction
• Hacker’s guide to Neural Networks
• Neural networks

Example datasets

• http://archive.ics.uci.edu/ml/datasets.html
• https://blog.webkid.io/datasets-for-machine-learning/

Similar lists

• Over 150 of the Best Machine Learning, NLP, and Python Tutorials I’ve Found
• Top-down learning path: Machine Learning for Software Engineers