Machine Learning and Artificial Intelligence
What is machine learning?
Machine Learning refers to the application of algorithms that identify patterns within data to “learn” how to complete tasks
How does an algorithm learn?
Machine learning algorithms learn by reducing error, which is how we learn
Is deep learning the new Hansel of data analysis?
http://www.youtube.com/watch?v=QizsJQNIKhc
What is deep learning and why is difficult to understand how it solves problems?
Deep learning isn’t as complicated as it looks
Fractal geometry is a useful analogy to understanding why deep learning is built on simple concepts
Like fractals, machine learning is beautiful...Deep learning is rapidly redefining our ability to understand and imitate the complexities of life
http://www.youtube.com/watch?v=uY4cE_nq2IY
… and terrifying
http://www.youtube.com/watch?v=cQ54GDm1eL0
… very terrifying
Why do deeper architectures work so well?
Network depth and layer width have unique characteristics
Width can theoretically be stretched to infinity while depth cannot
Why is a single node commonly referred to as an artificial neuron?
Artificial neurons are simplified versions of biological neurons in our brains
How are our neurons like boolean operators?Action potentials do not vary in magnitude
There are many similarities between brain networks and artificial neural networks
Functional connectivity in the brain isn’t completely defined by structural connectivity
Thank you.