Quote:Shore up the foundational knowledge necessary to work with Artificial Intelligence and Machine Learning! This LiveLesson video covers the core principles of Artificial Intelligence and Machine Learning, including how to frame a problem in terms of Machine Learning and how Machine Learning is different than statistics. Learn about fundamental concepts including nearest neighbors, decision trees, and neural networks. The video wraps up covering timely machine learning topics such as cluster analysis, dimensionality reduction, and social networks.

Access the code repository for this LiveLesson at

Code:

https://github.com/noahgift/fundamentals_ai_ml

What You Will Learn

Learn key concepts in Machine Language, AI, and cloud computing and how these technologies can be used in business assessment and growth
Meet the future head on with core coverage of AI, ML, and data science essentials
Distinguish between narrow, general, and super AI
Frame ML problems
Reason about Gradient Descent
Use neural networks
Understand social network theory
Who Should Take This Course

Roles:

Data scientist (current or aspiring)
ML engineer who wants a stronger conceptual foundation
Business exec who needs to understand AI and ML concepts
Student who needs additional resources in a data-related course