There are tons of information in the world. To enhance quality of your learning, you have to find data where valuable information is provided.
The places are mostly web sites. I listed references in order of priority. The first reference you have to get used to is google search engine. If you get used to the engine, you naturally find useful references.
Although the engine contains most of references, the reason you have to know particular references is that some references provide well-organized data in a specific field.
- Search Engines
- www.google.com
- www.amazon.com
- Dictionaries & Encyclopedia
- Wikipedia
- Webopedia?: to learn IT terminology
- The free dictionary?by Farlex
- Statistics Dictionary | Stat Trek
- Tutorial Documents
- References (Uncategorized)
- Mathematics
- Wolfram Mathworld
- Mathonline
- The pages on Math Online provide many examples and visuals to enhance learning while still delivering the important key concepts to understanding undergraduate mathematics.
- Physics
- Talks
- Search Online?Courses
- Online?Courses with Certificates
- Coursera?| Supervised by Universities. One Certificate for One Course. One Specialization for Serial Courses.
- Udacity?| Practical?CS?Courses Supervised by Software Companies. Certificate(called Nanodegree) available.
- Khan Academy?| Covers high school and bachelor’s degree level about Math, Science, Economics and Finance, Arts, Humanities, Computing, Test Preps
- ALISON?| A New World of Free Certified Learning
- Treehouse
- Openculture
- edX
- Open2Study
- Online?Courses with No Certificates
- Online Courses in Universities
- Interactive Learning
- Codeacademy | Interactively learning how to code
- Editors for math symbols and formula
- 한글 이름 로마자 표기 – 네이버 랩
- Newspaper media
- Wall Street Journal
- Economist
- New York Times
- Guidiance
- Academic Societies
- The Korean Statistical Society 한국통계학회
- Korea Business Intelligence Data Mining Society 한국BI데이터마이닝학회
- IMU(International Mathematical Union) [HOME]
- SIAM: Society for Industrial and Applied Mathematics [HOME]
- Korean Mathematical Society 대한수학회
- The Korean Brain Society 한국뇌연구협회
- The Korea Society Management Information Systems?한국경영정보학회?
- Korean Institute of Intelligent Systems 한국지능시스템학회?[HOME]
- Korean Society for Computational Neuroscience 한국계산뇌과학회 [HOME]
- Cognitive Science Society?[HOME]
- The Korean Society of Cognitive Science 한국인지과학회 [HOME]
- BICA(Biologically Inspired Cognitive Architecture) Society [HOME]
- Conferences
- NIPS(Conference on Neural Information Processing Systems)
- ICML(Association for the Advancement of Artificial Intelligence)
- ICLR(International Conference on Learning Representations)
- AAAI(Association for the Advancement of Artificial Intelligence)
- IJACAI(International Joint Conference on Artificial Intelligence)
- KDD(ACM SIGKDD Conference on Knowledge Discovery and Data Mining)
- IAAI(Innovative Applications of Artificial Intelligence)
- CVPR(Conference on Computer Vision and Pattern Recognition)
- ECAI(European Conference on Artificial Intelligence)
- Cogsci(Annual Meeting of the Cognitive Science Society)
- Journals
- JAIR(Journals of Artificial Intelligence Research)
- TPAMI(IEEE Transactions on Pattern Analysis and Machine Intelligence)
- JMLR(Journal of Machine Learning Research)
- Cognitive Science
- Journal of Mathematical Psychology
- Cognition
- Cognitive psychology
- Neural Networks
- Psychological Assessment
- Research Laboratories/Institutes
- Biointelligence Laboratory (Byoung-Tak Zhang 장병탁) | School of Computer Science and Engineering | Seoul National University
- Seung Lab | Princeton University
- Neural Computation Lab |?Jeehyun Kwag 곽지현 | Korea University
- The Redwood Center for Theoretical Neuroscience | University of California at Berkeley
- Allen Institute for Brain Science
- Perception and Intelligence Laboratory (Jin Young Choi 최진영) |?Department of Electrical and Computer Engineering | Seoul National University
- Data Science Laboratory (Sungroh Yoon 윤성로) | Department of Electrical and Computer Engineering | Seoul National University
- Developer Community
- Algorithmic Problem Solving Competition