Currently I'm concerned about incredible overheating of "Artificial Intelligence" boom in Japan - while "Data Scientist" has gone. Google Trends shows Japanese people are getting just less attracted by statistics that is believed to be expertise of Data Scientist, and now they are enthusiastic about Artificial Intelligence. I feel this situation looks much puzzling. So, what's going on in 2015?... yes, I think not a few data science experts in Japan must agree that "Artificial Intelligence" explosively gets popular. Indeed we see a lot of media coverage whose title include "????" (artificial intelligence in Japanese) almost every day.
Programming a computer, to optimize performance standards, by using past experience Machine learning is a branch of Artificial Intelligence Calculation of algorithms allow computers to develop behavior's based on real data 3. Quick facts about Machine Learning Machine learning algorithms Supervised algorithms Apply past information registered, to new data Unsupervised algorithms Draw conclusions from datasets 4. Components of Machine Learning Representation Evaluation Optimization 5. Case studies on Machine Learning If a member frequently "likes" a friend's posts, the news feed will automatically start showing more of that friend's activity, earlier in the feed. Machine learning algorithms have helped reveal previously unrecognized influences between artists. Netflix predicts the ratings an individual will give a movie, which they haven't even watched yet, based on previous movie ratings made by them. The history of Artificial Intelligence (AI) began years ago.There were stories, myths, and rumours of artificial beings graced with intelligence and consciousness by master craftsmen. In 1958, John McCarthy and Marvin Minsky started the MIT Artificial Intelligence lab with $50,000.