Author: Rajneesh Pathak
Today Analytics industry uses multiple disciplines which help in solving problems by learning from data. Techniques from Statistics, Operations research, Machine Learning / Statistical learning, Econometrics along with Market research can solve some similar and very diverse problems which analytics practitioners face today. Though a seasoned user of analytics handles this confluence of disciplines and availability of competing and complementary algorithms with ease, people continue to debate on the differences and superiority of these disciplines. Given the fact that many big names from Industry are betting big on Machine learning, this debate intensifies even further.
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Today Analytics industry uses multiple disciplines which help in solving problems by learning from data. Techniques from Statistics, Operations research, Machine Learning / Statistical learning, Econometrics along with Market research can solve some similar and very diverse problems which analytics practitioners face today. Though a seasoned user of analytics handles this confluence of disciplines and availability of competing and complementary algorithms with ease, people continue to debate on the differences and superiority of these disciplines. Given the fact that many big names from Industry are betting big on Machine learning, this debate intensifies even further.
Read further
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