This year we have tried cutting edges Machine Learning techniques which most of the people think it is the future of our computer science industry.
HelloThe process of an algorithm learning from the training dataset can be thought of as a teacher supervising the learning process.
The goal for unsupervised learning is to model the underlying structure or distribution in the data in order to learn more about the data.
Some data is labeled but most of it is unlabeled and a mixture of supervised and unsupervised techniques can be used.
We tested some of the most well-known datasets like the Iris dataset.
The report is supervised by Mr. TN Chan at Compucon and Mr. Radu Nicolescu at the Auckland university.
It contains both experiments on the new techniques like CNTK and traditional libraries in C# and Java.
In the introductory seminar is to outline the project goals, justify the rationale for the project, and describtion about the gain from doing the project.
In the Mid-year seminar is work we have done in the first semester.
In the Final seminar is what we have done in the whole year.