Adnan Masood, a Machine Learning Phd's musings on Life, Technology, Research & Development
The fun thing about spending time at MIT is that you always run into interesting things. Couple of days ago, I encountered the MIT Bot submission for NASA - Sample Return Robot Challenge. NASA and the Worcester Polytechnic Institute (WPI) in Worcester teamed up for competing in the Sample Return Robot Challenge to demonstrate a robot that…
So after having an awesome Day 1 @ MIT, I was in CSAIL library and met Pedro Ortega, NIPS 2015 Program Manager @adaptiveagents. Celebrity sighting! Today on Day 2, Dr. Jaakkola (Bio) (Personal Webpage) professor, Electrical Engineering and Computer Science/Computer Science and Artificial Intelligence Laboratory (CSAIL), went over the following . Non-linear classification and regression, kernels Passive aggressive algorithm Overfitting, regularization, generalization Content…
As a follow up on MIT's tackling the challenges of Big Data, I am currently in Boston attending Machine Learning for Big Data and Text Processing Classification (and therefore blogging about it for posterity based on public domain data / papers - nothing posted here is MIT proprietary info to violate any T&C). MIT professional education courses are…
Microservices: An Unexpected Journey (Sam Newman) http://www.slideshare.net/spnewman/qcon-sao-paulo-keynote-microservices-an-unexpected-journey Microservices @ Netflix: A Challenge of Scale http://www.slideshare.net/stonse/microservices-at-netflix Principles of Microservices (ThoughtWorks) http://www.slideshare.net/spnewman/principles-of-microservices-ndc-2014 Developing Enterprise Applications for the Cloud: From Monolith to Microservices (IBM) http://www.slideshare.net/davidcurrie/developing-enterprise-applications-for-the-cloudfrom-monolith-to-microservices Testing & Deploying Microservices (ThoughtWorks) http://www.slideshare.net/spnewman/testing-deploying-microservices-xp-days-ukraine-2014 Growing a Microservices Landscape (With Smart Use Cases) http://www.slideshare.net/aahoogendoorn/20141222-growing-a-microservices-landscape-with-smart-use-cases Think Small to Go Big - Introduction to…
Deep learning architectures are built using multiple levels of non-linear aggregators, for instance neural nets with many hidden layers. In this introductory talk Will Stanton discusses the motivations and principles regarding learning algorithms for deep architectures. Bill provides a primer to neural networks, and deep Learning. He explains how Deep Learning gives some of the best-ever solutions to problems…
The monadic curse is that once someone learns what monads are and how to use them, they lose the ability to explain it to other people. Excellent lecture. Transcript and Monads for Humans
An interesting portrayal of Microservices by Martin Fowler. The term "Microservice Architecture" has sprung up over the last few years to describe a particular way of designing software applications as suites of independently deployable services. While there is no precise definition of this architectural style, there are certain common characteristics around organization around business…
Interesting introduction to Functional Programming by Kelsey Innis.
Dated, but a highly recommended reading for functional programmers by John Hughes of Institutionen Datavetenskap, Abstract: As software becomes more and more complex, it is more and more important to structure it well. Well-structured software is easy to write, easy to debug, and provides a collection of modules that can be re-used to reduce future programming…
I have recently encountered the following error when enumerating through the UserPrincipal.GetAuthorizationGroups collection. System.DirectoryServices.AccountManagement.PrincipalOperationException: An error (1301) occurred while enumerating the groups. The group's SID could not be resolved. The problem was introduction of the domain controller running Server 2012 while the machine running my application was win7 VM (applies to Win2K8 as well) With little…