Curious about AI? Find out how you can get started today! We’ll walk through several tools that are open source and commonly used in data science. I’ll also provide information about the algorithms being used and we’ll walk through a few different use-cases so you’ll better understand them.
6. 6
How to learn for free
▪ Jupyter Notebook
− Runs Locally
− Uses your local resources
▪ Google Colab
− Uses cloud resources
− Has GPUs and TPUs
− Can use local runtime
@barkerd427
20. 20
What is Deep Learning?
▪ Type of Machine Learning
▪ Hierarchical feature learning
▪ Deep Neural Networks
▪ Convolutional Neural Networks
▪ Generative Adversarial Networks
@barkerd427
21. 21
Deep Learning Tools
▪ TensorFlow
▪ PyTorch
▪ Keras
▪ Caffe
▪ Microsoft Cognitive Toolkit
▪ MXNet
▪ Chainer
@barkerd427
24. 24
It’s a brand new world
▪ cognitive biases have been studied for years
− we still can’t avoid them
▪ algorithmic biases are barely understood
− we don’t know what we don’t know
− first covered in 1976
− not again for 30 years
− and nothing significant until recently
@barkerd427
25. 25
Complex Systems Theory
▪ we don’t actually understand
cognitive biases
▪ we don’t accurately attribute
success/failure
▪ move forward, but mindfully!
@barkerd427