Bøger af Taeho Jo

This book is concerned with the basic level of Python programming. It is authored by collecting slides in the lecture on Python programming during one semester; each page is given as a slide, instead of full text. It is intended for one with somewhat experience of python programming, to review it briefly; it is composed of eight lectures. This book includes programming starting, functional programming, object-oriented programming, and web programming. The programming language, Python, which is covered in this book is popularly used for implementing AI (Artificial Intelligence) systems.

This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations, deep machine learning, deep neural networks, and textual deep learning. The first part provides traditional supervised learning, traditional unsupervised learning, and ensemble learning, as the preparation for studying deep learning algorithms. The second part deals with modification of existing machine learning algorithms into deep learning algorithms. The book¿s third part deals with deep neural networks, such as Multiple Perceptron, Recurrent Networks, Restricted Boltzmann Machine, and Convolutionary Neural Networks. The last part provides deep learning techniques that are specialized for text mining tasks. The book is relevant for researchers, academics, students, and professionals in machine learning.

This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management.

This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management.