Adnan Masood, a Machine Learning Phd's musings on Life, Technology, Research & Development
An excellent introduction to StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks via Image Synthesis From Text With Deep Learning | Two Minute Papers.
Microsoft Machine Learning & Data Science Summit is taking place in conjunction with Microsoft Ignite at Georgia World Congress Center. Today, day 1 started with keynote by Dr. Joseph Sirosh who identified three axes of innovation along with various customer case studies. Thought leaders and Microsoft engineers discuss the latest Big Data, Machine Learning, Artificial Intelligence,…
Learning to write programs stretches your mind, and helps you think better, creates a way of thinking about things that I think is helpful in all domains. -Bill Gates. Chairman, Microsoft I recently had an inquiry from an astronomy-buff friend of mine who wanted to introduce his 3rd and 4th Graders to programming. Following Hanselman's advice of how many…
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…
On day 4 of the Machine learning course, following was the agenda: Unsupervised learning, clustering Dimensionality reduction, matrix factorization, and Collaborative filtering, recommender problems The day started with Regina Barzilay (Bio) (Personal Webpage) talk on Determining the number of clusters in a data set and approaches to determine the correct numbers of clusters. The core idea being addressed was difference…
Day 3 of the Machine Learning for Big Data and Text Processing Classification started with Dr. Regina Barzilay (Bio) (Personal Webpage) overview of the the following. Cascades, boosting Neural networks, deep learning Back-propagation Image/text annotation, translation Dr. Barzilay introduced BoosTexter for the class with a demo on twitter feed. BoosTexter is a general purpose machine-learning program based on boosting for building…
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…
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…