Books

Theory and Applications for Advanced Text Mining

This book is composed of 9 chapters introducing advanced text mining techniques. They are various techniques from relation extraction to under or less resourced language.

Linear Algebra

Neural Networks and Deep Learning

Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you concepts behind neural networks and deep learning.

KB – Neural Data Mining with Python Sources

Linear Algebra: An Introduction to Mathematical Discourse

Machine Learning

Hadoop Illuminated

'Hadoop illuminated' is the open source book about Apache Hadoop™. It aims to make Hadoop knowledge accessible to a wider audience, not just to the highly technical.

SQL for Web Nerds

Introduction to Machine Learning

Learning Statistics with R

I (Dani) started teaching the introductory statistics class for psychology students offered at the University of Adelaide, using the R statistical package as the primary tool. These are my own notes for the class which were trans-coded to book form.