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.