An important concept in the field of Artificial Intelligence is that of Search Spaces or State Space Search. [read more]
I have attended the Big Data Summit, Malta, held on the 22nd of June 2016. There were a number of interesting talks at this first summit on this subject. It was worth its value. There was also time for networking and had some good discussions with both old colleagues and new contacts. [read more]
Optdigits is a well-known dataset consisting of a collection of hand-written digits available at the UCI Machine Learning Repository. In this blog I report classification results obtained using various machine learning classification techniques. [read more]
In this blog I’ll go over some of my experiments on predicting the outcome of shelter animals. This work was done as my contributions to a competition on Kaggle. One particular focus of this blog entry is on data exploration and feature engineering. This dataset had some interesting variables that needed some work before they could be used as predictor variables. [read more]
I worked on the BarcodeReader program as part of a set of Machine Vision demo programs that I did for some potential leads in the manufacturing industry. [read more]
The first Kaggle competition that I participated in dealt with predicting customer satisfaction for the clients of Santander bank. My submission based on xgboost was ranked in the top 24% of all submissions. Kaggle ranks submissions based on unseen data – a public leaderboard dataset (test dataset with unseen targets) for use during development and a final private leaderboard dataset (completely unseen data) that is used for the final ranking of the competition. In this blog I will cover some aspects of the work done, in particular, initial data exploration and balancing the dataset to aid machine learning predictions (happy customers far outweighed unhappy ones). [read more]
Welcome to my new blog! [read more]