Seminar on Internet Technologies (Summer 2017): Difference between revisions

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Seminar on Internet Technologies (Summer 2017) (view source)

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| [http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0149222][https://pdfs.semanticscholar.org/7d15/0a9390d569750978d9abcee4524f1974961f.pdf]
| [http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0149222][https://pdfs.semanticscholar.org/7d15/0a9390d569750978d9abcee4524f1974961f.pdf]
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| '''Machine Learning'''
| '''Robo advisors and AI'''
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can change when exposed to new data. The process of machine learning is similar to that of data mining. Both systems search through data to look for patterns. However, instead of extracting data for human comprehension -- as is the case in data mining applications -- machine learning uses that data to detect patterns in data and adjust program actions accordingly.
A robo-advisor (robo-adviser) is an online wealth management service that provides automated, algorithm-based portfolio management advice without the use of human financial planners. Robo-advisor is a very new example which shows how AI begin to take place of human beings in high-end service like finance, laws, education and even research. Beside gaining basic knowledge about AI, it is also a good way to understand how AI change our future work markets.
| [https://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding]
| [https://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding]
| [https://dspace.mit.edu/openaccess-disseminate/1721.1/103130]
| [http://onlinepresent.org/proceedings/vol141_2016/21.pdf]
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| '''Deep Learning'''
| '''Deep Learning and Alphago(Master)'''
Deep learning is a class of machine learning algorithms that use a cascade of many layers of nonlinear processing units for feature extraction and transformation. It is now broadly studied and used in following areas: Automatic speech recognition, Image recognition, Natural language processing, Drug discovery and toxicology, Customer relationship management, Recommendation systems, Biomedical informatics.
Alphago is one of the best players in board games. One of the important reasons for its great success is deep learning. Deep learning is a class of machine learning algorithms that use a cascade of many layers of nonlinear processing units for feature extraction and transformation. It is now broadly studied and used in following areas: Automatic speech recognition, Image recognition, Natural language processing, Drug discovery and toxicology, Customer relationship management, Recommendation systems, Biomedical informatics.
| [https://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding]
| [https://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding]
| [http://pages.cs.wisc.edu/~dyer/cs540/handouts/deep-learning-nature2015.pdf][https://arxiv.org/pdf/1404.7828]
| [http://web.iitd.ac.in/~sumeet/Silver16.pdf][http://www.ieee-jas.org/CN/article/downloadArticleFile.do?attachType=PDF&id=145]
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