The structure of this book is composed by the explanations of each department (about 50 departments are discussed). For each department, there are three sections: the first section is about the high level introduction of knowledge studied at this department, the second section is about current research problems investigated by researchers/faculties associated with this department, finally, the last section will present potential ideas generated from remote association. An interesting feature of this book is that my kids (8 and 10 years old) prepare a plot for each department to demonstrate their imagination about each department. Their plots may look childish, but they show primary understanding about each department at least.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
I am a data scientist. This means that I like to use data to solve problems, whether through machine learning, statistical analysis or data visualization. Currently, I work as a technical lead at an artificial intelligence company in Silicon Valley that specializes in automating backend office works. I am also a professor at San Jose State University and Whitewater University of California and provide courses about artificial intelligence.
My name is Andrew and I am 11 years old. I am interested in learning knowledge from each knowledge field and thinking about how to apply Invenrelation to create new knowledge at each field.
I am Ray, and I was born in 2010. I like to invent new things and I help my brother Andrew and Father Shih-Yu Chang in preparing this great book: Knowledge Departments and Invenrelation.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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