Intro

Outline

What is Artificial Intelligence?

Al Canonical Architecture

Select History of Artificial Intelligence

Artificial Intelligence Evolution

Spectrum of Commercial Organizations in the Machine Intelligence Field

Data is Critical To Breakthroughs in Al

Unstructured and Structured Data

Machine Learning Algorithms Taxonomy

Modern Al Computing Engines

Neural Network Processing Performance

Robust AI: Preserving Trust

Importance of Robust Al

Human-Machine Teaming

What is Machine Learning?

Traditional Programming vs. Machine Learning

Common ML Pitfalls

Supervised Learning

Artificial Neural Networks

Deep Neural Networks

Components of an Artificial Neural Network

Common Activation Functions

Neural Network Training

MIT OpenCourseWare

MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020
Instructor: Jeremy Kepner, Vijay Gadepally
View the complete course: https://ocw.mit.edu/RES-LL-005IAP20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62uI_DWNdWoIMsgPcLGOx-V

This lecture provided an overview on artificial intelligence and took a deep dive on machine learning, including supervised learning, unsupervised learning, and reinforcement learning.

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
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1. Artificial Intelligence and Machine Learning

1. Artificial Intelligence and Machine Learning

1. Artificial Intelligence and Machine Learning

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