Mark Borg - my blog

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Introductory Video on Search Spaces

Introductory Video on Search Spaces

  An important concept in the field of Artificial Intelligence is that of Search Spaces or State Space Search. [read more]

Big Data Summit Malta

Big Data Summit Malta

  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]

Experiments in Optdigits Classification

Experiments in Optdigits Classification

  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]

Kaggle Shelter Animal Outcome Competition

Kaggle Shelter Animal Outcome Competition

  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]

Barcode Recognition

Barcode Recognition

  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]

Predicting Customer Satisfaction

Predicting Customer Satisfaction

  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]

Hello World!

Hello World!

  Welcome to my new blog! [read more]