AI Fundamentals
Learn the fundamentals of AI. No programming experience required!
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Course Description
So what is all this AI fuss about? Machine Learning, Deep Learning, Predictive Analytics -- what is the reality behind the hype? How do machines actually learn and what are their limits? How can we use Machine Learning to recognize written digits, predict customer churn and find structure in Elon Musk's tweets? All this -- and much more -- is the topic of this course, which will introduce you to the world of AI in a gentle, but firm and very practical manner.
- 1
Introduction to AI
FreeUnderstand the definition of AI ( “general” and “narrow”), the relationship between AI and Machine Learning, and will the robots take over the world - soon? - 2
Supervised Learning
Learn about supervised learning, work with labeled data and train regression models. - 3
Unsupervised Learning
Learn about unsupervised learning, divide data into clusters, detect anomalies and select the right model for the job. - 4
Deep Learning & Beyond
Learn about deep learning, create your first neural networks, and train a model to recognize digits.
In the following tracks
Data Skills for Business
Hadrien Lacroix
Hillary Green-Lerman
Nemanja Radojković
Senior Data Scientist @ Dataroots
Nemanja's areas of expertise include Machine Learning, Text Mining and Computer Vision. He is currently a Senior Data Scientist at Dataroots, where he helps businesses to harvest the power of their data. He has worked with industries as varied as manufacturing, life sciences & healthcare, and transportation services & infrastructure.
What do other learners have to say?
“I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.”
Devon Edwards Joseph
Lloyds Banking Group
“DataCamp is the top resource I recommend for learning data science.”
Louis Maiden
Harvard Business School
“DataCamp is by far my favorite website to learn from.”
Ronald Bowers
Decision Science Analytics, USAA
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