Loved by learners at thousands of companies
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.
Introduction to AIFree
Understand the definition of AI ( “general” and “narrow”), the relationship between AI and Machine Learning, and will the robots take over the world - soon?Do androids dream of electric sheep?50 xpGeneral vs Narrow AI50 xpWhy Python?50 xpThe elephant in the room100 xpAll models are wrong but some are useful50 xpParameters & hyper-parameters100 xpToo much of a good thing100 xpThree flavors of Machine Learning50 xpGuess the flavor I50 xpGuess the flavor II50 xpSimple digit recognition100 xp
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.Dimensionality reduction50 xpPrincipal Component Analysis50 xpVisitors from outer space100 xpClustering50 xpLucky number K50 xpElbow reading100 xpDBSCAN100 xpAnomaly detection50 xpHow unsupervised really?50 xpThe go-to algorithm50 xpThe odd one out100 xpElon's tweets100 xpSelecting the right model50 xpFruits of knowledge50 xpPredicting customer churn100 xp
Deep Learning & Beyond
Learn about deep learning, create your first neural networks, and train a model to recognize digits.Deep Learning & Beyond50 xpThe nucleus50 xpHow to train your dragon50 xpYour first neural net100 xpDeep Learning50 xpLayers50 xpGuess the architecture50 xpRolling in the deep100 xpConvolutional Neural Networks50 xpThe Beauty of the Beast50 xpOne-liner modeling100 xpOne-line evaluation100 xpDeep Learning for Digit Recognition100 xpCongratulations!50 xp
In the following tracksData Skills for Business
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.
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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