Now we know iPhone can be used to fly drones. Yes, AR Drone has consumer plan. The AR Drone has four propellers, two cameras, and can be flown with an iPhone.
Watch now:
Archive for the ‘Tools’ Category
AR Drone can be flown with an iPhone
Friday, May 7th, 2010
SAS offers FREE software for college statistical enthusiasts
Sunday, April 18th, 2010Are you a stat’s fan?, then pick up your copy of SAS for free starting this fall at your university!
On-Demand for Academics is an online program for teaching and learning data management and analytics. It allows professors and students to use several applications, including SAS Enterprise Guide and SAS Enterprise Miner for free. More applications may be added in the near future. Is SAS Institue following in the foot steps of software giants?, its something which we should wait and watch!
SAS leading the way in social media data mining with new tool offering
Sunday, April 18th, 2010Recently, we did read about large corporations using data mining especially partnering with social networking sites to improve there product offering. Yes, social data is now a valuable commodity. Facebook, Twitter and other online forums, provides a rich source of user sentiment, which is of immense value. Today companies are building tools which would help make sense of the data. Once such tool in focus is SAS Social Media Analytics by SAS Institute.
SAS Institute, the leader in advanced business intelligence and data analytics software, thinks it can do better. It is introducing a software service on Monday called SAS Social Media Analytics that analysts say seems to represent a step ahead in social media analysis tools.
[Read more New York Times]
Machine Learning at Stanford University
Sunday, March 28th, 2010This time we bring to you an online video tutorial on CS 229: Machine Learning course from Stanford University. Besides 19 Lectures on machine learning you will be provided with relevant lecture notes, links other related miscellaneous stuff . Professor Andrew Ng will introduce machine learning and statistical pattern recognition which will cover topics like supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Other applications of machine learning, such as to robotic control, data mining, autonomous navigation, bio informatics, speech recognition, and text and web data processing are also discussed.
This was the first lecture:- (course materials) The first 30 minutes or so of this lecture is introduction to the course and the field of machine learning in general.
- In the rest of the lecture, the four main parts of the course is described in some detail along with illustrative examples :-Supervised learning: providing the algorithm a data set, supervising- learn the association between input & output, regression problems, classification problems, support vector machines- infinite number of features
- Learning theory
- Unsupervised learning: clustering, Cocktail party problem, independent component analysis Reinforcement learning: reward function (good dog, bad dog), feedback function
In the second lecture, Professor Andrew Ng will cover topics like linear regression, gradient descent, and normal equations and discusses how they relate to machine learning.
For more visit the home page: http://cs229.stanford.edu/
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