Monads by David Crockford
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
Search Results for: 56
State of the IoT Security
In a recent podcast by Scott Hanselman and Erica Stanley, an Internet of Things (IoT) primer, the guest mentioned how security is being treated as an afterthought for most things IoT. This is unfortunately true in various areas of software development; but especially with the unprecedented growth of IoT, this lax in providing security standards will fast…
Gradient Boosting Machine Learning by Prof. Hastie
Here is Prof. Hastie's recent talk from the H2O World conference. In this talk, professor Hastie takes us through Ensemble Learners like decision trees and random forests for classification problems. Other excellent talks from the conference include the following. Michael Marks - Values and Art of Scale in Business Nachum Shacham of Paypal -…
LyX/LaTeX formatting for the C# code
If you are googling trying to find a good way to insert C# code in LyX, this is where you'd probably end up. MaPePer has provided a very good solution; I have modified it slightly (hiding tabs and removing comments) and following is illustration on how to use it in LyX. First thing you'd need is a…
Slides from 11th Annual SecureIT conference- “OWASP Web Services Security - Securing your Service Oriented Architecture”
I recently spoke to 11th SecureIT conference on "OWASP Web Services Security - Securing your Service Oriented Architecture". This annual event was hosted by UC San Bernardino at Sheraton Fairplex Hotel. This SecureIT Conference conference provides focus and opportunities to higher education staff meeting the challenges of providing a secure information technology environment for campus communities. The…
Quantum Computing & Entanglement with Dr. John Preskill @ Caltech
Last night I had the privilege to listen to Dr. John Preskill in Beckman Auditorium here at Caltech with fellow Quantum aficianado David Lazar. John Preskill is the Richard P. Feynman Professor of Theoretical Physics at Caltech. This was definitely one of the most accessible lecture on this topic of general audience which was very well received. Dr. Preskill is definitely a teacher and…
Book Reviews and Bibtex Bibliography
Compiled the list of reviews and published on my academic site. Probabilistic Interestingness Measures, Probabilistic Graphical Models and Outlier Analysis / Bibtex and a poster, just cuz.
A Deep Dive into Causality with Judea Pearl
For most researchers in the ever growing fields of probabilistic graphical models, belief networks, causal influence and probabilistic inference, ACM Turing award winner Dr. Judea Pearl and his seminary papers on causality are well-known and acknowledged. Representation and determination of Causality, the relationship between an event (the cause) and a second event (the effect), where…
Selected Papers on Interestingness Measures, Knowledge Discovery and Outlier Mining
S. Abe and T. Inoue. Fuzzy support vector machines for multiclass problems.In ESANN 2002 Proceedings, pages 113-118, 2002. R. Agrawal, T. Imielinski, and A. Swami. Mining association rules between sets of items in large databases. In Proceedings of the 1993 ACM SIGMOD Conference, 1993. A. Alink, C. M. Schwiedrzik, A. Kohler, W. Singer, and L.…
On Verifiable, Reproducible Research in Computational Sciences
Recently I have been reading few research papers by Dr. Szymon Jaroszewicz, co-author of "Scalable pattern mining with Bayesian networks as background knowledge", "Fast discovery of unexpected patterns in data, relative to a bayesian network" and "Interestingness of frequent itemsets using Bayesian networks as background knowledge". The papers stated that "A copy of the source code is available…