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.
Understand the definition of AI ( “general” and “narrow”), the relationship between AI and Machine Learning, and will the robots take over the world - soon?
Learn about supervised learning, work with labeled data and train regression models.
Learn about unsupervised learning, divide data into clusters, detect anomalies and select the right model for the job.
Learn about deep learning, create your first neural networks, and train a model to recognize digits.
In the following tracksData Skills for Business
Senior Data Scientist @ Dataroots
“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.”
Harvard Business School
“DataCamp is by far my favorite website to learn from.”
Decision Science Analytics, USAA