| title | category |
|---|---|
Using JavaScript to Teach Machines How to Do Cool Things |
machine learning |
What's the difference between machine learning and artificial intelligence? Can we use JavaScript to implement it? How easy is it to teach these machines to do cool things?
In this talk, I cover:
- The definition of machine learning and how the concept differs from artificial intelligence
- "Machine learning paves the path to artificial intelligence"
- Supervised vs unsupervised learning
- Some basic machine learning types:
- Liner Regression
- Classification
- Clustering
- Discrete vs continuous data, and what it tells us about the learning types
- A demo of how to improve a "dumb" Twitter bot using only a standard input (tweets)
- Bias-Variance Tradeoff
- The definition of a neural network and a couple of its types: artificial vs convolutional
- Why use JavaScript to implement these concepts?
- What are the limitations to using JS (compared to using something more suited to handle large data sets)?
- Step-by-Step Back propagation Example
- Anomaly Detection in JS
- Creating a Neural Network in 30 Lines of JS Code
- Neural Networks and Deep Learning
- Machine Learning in Other Languages: JavaScript
- Synaptic.js: Architecture-free neural network library for node.js and the browser
- Brain.js: GPU-accelerated neural network library for node.js and the browser
- The Tensorflow Playground
Zeit Day on April 28th, 2018