Speakers: Dr. Lin Gongjin , Fellow of the American Statistical Association, Distinguished Professor of Pennsylvania State University
Speaker: Dennis K. j. Lin , Distinguished Professor, The Pennsylvania State University
theme: Big Data: What matters is not data size and data itself, but statistical thinking
Topic: It's Not About Big nor Data; It's More About Statistics
Summary:
To cook a good dish, you need three elements: good ingredients, good cooking utensils, and good cooking methods. The same is true for studying big data. If you want to do a good job with big data, your ingredients are big data, your cooking utensils are computers, and the most important cooking method is statistical thinking. It's worth mentioning that ingredients and cooking utensils are available to anyone willing to spend money, but the cooking method is yours - you have to learn it yourself. This report will teach you to cook a few good dishes of big data through a few simple case studies, and put forward some personal views on the future of big data, especially the future development of the Internet of Things.
Abstract:
To cook a good dish, you need three elements: good ingredients, easy-to-use cooking utensils, and good cooking methods. Research with big data is much the same. Your ingredients are big data, your cooking utensils are computers, and the most important cooking method is statistical thinking. It is worth mentioning that the ingredients and cooking utensils can be bought, but you have to learn and improve good cooking methods on your own. This talk will cover a few simple case studies, teaching you to cook with statistical thinking, giving an outlook on the future of big data (especially the Internet of Things), and providing some personal views.
