Machine Learning algorithms can predict patterns based on previous experiences. The overarching practice of Machine Learning includes both robotics (dealing with the real world) and the processing of data (the computer's equivalent of thinking). These algorithms find predictable, repeatable patterns that can be applied to eCommerce, Data Management, and new technologies such as driverless cars. The full impact of Machine Learning is just starting to be felt, and may significantly alter the way products are created, and the way people earn a living.
By 2020, Gartner estimates that "consumers will manage 85% of their relationships with enterprises without ever interacting with a human." So, the question becomes, who will they interact with? The answer is simple - some type of artificial intelligence (AI). While no one knows for sure how this will impact different businesses, industries, and the economy overall, that certainly hasn't stopped businesses from jumping on the train. According to Narrative Science, 62% of organizations will adopt AI by 2018.
This online course is designed to introduce you to the Spark platform and train you to use all the APIs it offers. This course is split into 8 interactive modules which cover over 7 Apache Spark topics with a Project at the end of the course – receive a certificate of completion at the end of the course.
Last year, Microsoft released an artificially intelligent Twitter chatbot named "Tay" aimed at engaging Millennials online. The idea was that Tay would spend some time interacting with users, absorb relevant topics and opinions, and then produce its own content. In less than 24 hours, Tay went from tweeting "humans are super cool" to racist, neo-Nazi one-liners, such as: "I f-- hate n--, I wish we could put them all in a concentration camp with kikes and be done with the lot." Needless to say, Microsoft shut down Tay and issued an apology.