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Tag Archives: Artificial Intelligence
1) Huge variety of courses from the best professors in the world (see Gamification course from Coursera below) or Machine Learning , Human Computer Interaction
2) They are free ( is a mistake)! time is not free.
Also signature courses at Coursera now offer credible tracks for $39, and they have more support.
Why do you as a student need support? because sometimes you get stuck, and sometimes you need human interaction to stay motivated.
3) Coursera- I love these things-
Can run the course faster at 1.75 times ( because seriously I get distracted otherwise)
Can run the multiple language CC (captions) – reading is so much faster
Best feature- in video quizzes
Most number of courses
Makes learning fun
Makes easy to learn language
I wish someone could mash more of Coursera content with Codeacademy gamification and teach hacking and data sciences to the next generation of hackers!!
Rest of the websites are good, but I stick to Coursera and Codeacademy!
5) Education empowers! Every person who learns R or JMP through a free MOOC will create more value for themselves, customers, and their society, country than had they remain uneducated because they could not afford the training.
One of the cornerstones of the technology revolution, Stanford now offers some courses for free via distance learning. One of the more exciting courses is of course- machine learning
About The Course
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
Professor Andrew Ng is Director of the Stanford Artificial Intelligence Lab, the main AI research organization at Stanford, with 20 professors and about 150 students/post docs. At Stanford, he teaches Machine Learning, which with a typical enrollment of 350 Stanford students, is among the most popular classes on campus. His research is primarily on machine learning, artificial intelligence, and robotics, and most universities doing robotics research now do so using a software platform (ROS) from his group.
- When does the class start?The class will start in January 2012 and will last approximately ten weeks.
- What is the format of the class?The class will consist of lecture videos, which are broken into small chunks, usually between eight and twelve minutes each. Some of these may contain integrated quiz questions. There will also be standalone quizzes that are not part of video lectures, and programming assignments.
- Will the text of the lectures be available?We hope to transcribe the lectures into text to make them more accessible for those not fluent in English. Stay tuned.
- Do I need to watch the lectures live?No. You can watch the lectures at your leisure.
- Can online students ask questions and/or contact the professor?Yes, but not directly There is a Q&A forum in which students rank questions and answers, so that the most important questions and the best answers bubble to the top. Teaching staff will monitor these forums, so that important questions not answered by other students can be addressed.
- Will other Stanford resources be available to online students?No.
- How much programming background is needed for the course?The course includes programming assignments and some programming background will be helpful.
- Do I need to buy a textbook for the course?No.
- How much does it cost to take the course?Nothing: it’s free!
- Will I get university credit for taking this course?No.Interested in learning machine learning-
Well here is the website to enroll http://jan2012.ml-class.org/
Some good journals for reading on analytics-
present research that demonstrates the joint evolution of computational and statistical methods and techniques. Implementations can use languages such as C, C++, S, Fortran, Java, PHP, Python and Ruby or environments such as Mathematica, MATLAB, R, S-PLUS, SAS, Stata, and XLISP-STAT.
There are currently 370 articles, 23 code snippets, 86 book reviews, 4 software reviews, and 7 special volumes in archives
2) R Journal
3) Pharma Programming
Pharmaceutical Programming is the official journal of the Pharmaceutical Users Software Exchange (PhUSE), a non-profit membership society with the objective of educating programmers and their managers working in the pharmaceutical industry. Available both in print and online, Pharmaceutical Programming is an international journal with focus on programming in the regulated environment of the pharmaceutical and life sciences industry.
4) SAS Papers – User Groups
|4569 SAS papers presented
at SGF/SUGI 1996-2010.
|1343 SAS papers presented
at PharmaSUG 2000-2010.
|1810 SAS papers presented
at NESUG 1997-2009.
|1191 SAS papers presented
at SESUG 1999-2009.
|463 SAS papers presented
at PhUSE 2005-2009.
|787 SAS papers presented
at WUSS 2003-2009.
|337 SAS papers presented
at MWSUG 2001, 2004-2009.
|188 SAS papers presented
at PNWSUG 2004-2009.
|246 SAS papers presented
at SCSUG 2003-2007, 2009.
|221 SAS papers related to CDISC.
Easy access to the CDISC Forum.
Magazine by http://www.informs.org/
6) Data Mining Journals
Journals relevant to Data Mining
- Applied Intelligence – The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies -http://www.kluweronline.com/issn/0924-669X/contents
- Data Mining and Knowledge Discovery – http://www.kluweronline.com/issn/1384-5810/
- Journal of Intelligent Information Systems – Integrating Artificial Intelligence and Database Technologies -http://www.kluweronline.com/issn/0925-9902
- Journal of Intelligent Systems – http://www.brunel.ac.uk/~hssrjis/
- Knowledge and Information Systems – http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0219-1377
- Machine Learning – http://www.kluweronline.com/issn/0885-6125/
- IEEE Transactions on Knowledge and Data Engineering – http://www.computer.org/tkde/
- IEEE Transactions on Pattern Analysis and Machine Intelligence – http://www.computer.org/tpami/