Essays on Machine Learning

Abstract

Computers scientist have been grappling with the challenge of developing cognitive systems. Some of the challenges that have made the creation of such systems include natural language processing and machine learning. However, IBM has been able to produce a system known as Watson that has demonstrated human-like intelligence. The system was able to deal with the challenge of natural language processing by using a parsing process to derive the context of questions. This made IBM Watson have human-like understanding of natural language. The system is also built on active technologies that facilitate adaptation training through data and user changes. ...

CHAPTER ONE: INTRODUCTION

1.0 Introduction The phrasal word ‘Big Data’ means literally an enormously huge volume of data. In the present information era, terabytes of data are generated and petabytes of data are processed everyday with the outreach of ubiquitous social media, online shopping and many other mobile and internet based applications. The traditional methodologies became inadequate to process, analyze and extract information from these huge data volumes from diverse sources and of new and different data types. So, new ‘Big Data’ methodologies have been developed in dealing with this barrage of data and to help governments, businesses and industries in taking ...

Abstract

Eye movement tracking and analysis has gained popularity as a critical tool for evaluating interfaces and visual display. Existing tools and methods that are used in analyzing scan paths and eye movements are to a greater extent limited in the nature of tasks that they support. In particular, the tools used have been found ineffective in tracking large amounts of data that has high variations. Eye movement analysis has been used in psychology, medical research, advertising, and cognitive science. Today, using CCTV cameras, human eye gaze, and eye movement and blinking is relatively recorded with ease and with high ...

The Problem

For this case study, we focus on an application of regression analysis in engineering. In this case study, we use data to build a model for predicting average electrical output, y. In this case study, we use data from a Combined Cycle Power Plant to build a model for average electrical output, y. We examine the residuals, the deviations between the predicted and the actual electrical output levels, to detect an independent variable omitted from the regression model.

The Data – Source: UCI Machine Learning Repository

A combined cycle power plant (CCPP) is composed of steam turbines (ST), gas turbines (GT), and heat recovery steam generators . In ...

Abstract

In the recent times, scientists in the discipline of artificial intelligence are confused which approach closely imitates the structure of a human brain. The best two approaches are bottom-up, or the top-down, and they comprise of both their advantages and disadvantages. The top-down approach has the capability to perform high-level tasks since it is programmed (Russell et.al 27). On the contrary, the bottom-up approach is capable of modeling the lower-level human functions such as motor control, image recognition, and learning capabilities. Each method operates perfectly where the other method is imperfect. Therefore, to establish the advantages and disadvantages of ...