A framework to characterize and understand the different flavors of machine learning, from supervised, unsupervised and reinforcement, to the many hybrid variants.
Beautiful second part. I love the aesthetics of how you approached the categorization of Supervised learning and co as paradigms.
Not a lot of people know the technically accurate term and they sometimes mistake them for techniques like Decision trees or subsets of Machine Learning like Sentiment analysis.
Beautiful second part. I love the aesthetics of how you approached the categorization of Supervised learning and co as paradigms.
Not a lot of people know the technically accurate term and they sometimes mistake them for techniques like Decision trees or subsets of Machine Learning like Sentiment analysis.