Adnan Masood, a Machine Learning Phd's musings on Life, Technology, Research & Development
Discovering meaningful, explainable and interesting rules from mined data has been a challenging research problem due to its highly subjective nature. It is deemed as the central task in knowledge data and discovery to explore and analyze relationship between features. For most practical applications, it is quite difficult to determine the most relevant rule for…
Bayesian Network without tears by Eugene Charniak of Brown university, is a classical introductory writing by the author of seminal texts like Statistical Language Learning, Introduction to Artificial Intelligence, Artificial Intelligence Programming and Computational Semantics. It has repeatedly been (officially or unofficially) made part of PhD comprehensive exam reading lists. This short and well-written 14 page paper published…
Subjectivity of an interestingness measure has been a subject of discussion for a while in the data mining and machine learning communities. In their SIGKDD paper titled “A framework for mining interesting pattern sets”, authors Bie, Kontonasios and Spyropoulou have suggested a framework, which approaches the problem in a dual-attack manner. Assuming that the prior…
Alan Downey, author of one of my most favourite python books, "Python for Software Design: How to Think Like a Computer Scientist" did a tutorial session t a tutorial on Bayesian statistics and here is the web page he created for the tutorial. This tutorial is an introduction to Bayesian statistics using Python. Following is the…
Bayesian Networks I: Static Models & Multinomial Distributions https://controls.engin.umich.edu/wiki/images/d/da/Lecture.26.pdf Bayesian Networks II: Dynamic Networks and Markov Chains https://controls.engin.umich.edu/wiki/images/5/5d/Lecture.27.pdf
Some exciting developments in the area of Quantum Computing at IBM.
Even though Kurtz and Simon proved that a natural generalization of the Collatz problem is algorithmically undecidable, it is still fairly easy to brute force the 3n+1 conjecture with large values of n and empirically see it converge. Project Euler's problem 14 queries about which starting number, under one million, produces the longest sequence? Since Premature optimization is often considered root…
Illustration of the main idea of Bayesian inference, in the simple case of a univariate Gaussian with a Gaussian prior on the mean (and known variances).
Like most production systems, life happens in real time; and there has been several major paradigm shifts happening lately. It's easy to shrug AJAX off as revamped XMLHTTP from late 90's but we all know this isn't exactly the case. With the thought process, frameworks and development around emerging technologies, sands are shifting faster than…
Bayesian Artificial Intelligence, Second Edition by Kevin B. Korb and Ann E. Nicholson is among one of the very few books which explain the probabilistic graphical models and Bayesian belief networks in a balanced way; i.e. without making it a mathematical exercise in futility or by dumbing it down too much to make it a…