In Ensemble learning, while drawing out the final outcome of the ensemble, we usually take majority voting. But does that always give best results? Are there any other good methods? We explore the field of Voting theory to guide us in this aspect.

This is an introductory post to understand how automatic image captioning can be used to build an image search engine. The reader is not assumed to be proficient with Machine Learning or Information Retrieval but should be proficient with Linear Algebra.

Learn what is ensemble learning and understand local accuracy estimate method which is one of the many methods of ensemble learning in the literature. The reader is assumed to be proficient with basics of statistics and machine learning.

Learn how to do multiclass classification and use custom datasets in Keras.

This is an introductory post to understand how Automatic Image Captioning works. The reader is not assumed to be proficient with machine learning. This post describes one of the method used to generate image captions.

A solid plan to get yourself familiar with necessary theoretical knowledge of Data Science.

This post introduces support vector classification and provides an use case of the same using scikit-learn. The reader is assumed to have a background knowledge in linear algebra and metric spaces and is assumed to be familiar with python.