Machine Learning Essay Examples - Free Research Paper Topics on StudyDriver.com

Machine Learning and Artificial Intelligence

Background of the Problem and Motivations: Privacy is a very important in terms of most of the population today. A company or organization that can provide privacy to their users is something that is not seen as a benefit, but something that is to be expected. That being said machine learning (ML) and artificial intelligence (AI) is also a hugely popular technology for these same companies. ML and AI can help companies customize their products to help solve customer problems […]

Machine Learning

I like solving real-world problems which involve a mix of conventional wisdom and out of the box thinking. I would like to place myself in a position of the Lead analyst, where I can hone my analytics skills to add some machine learning skills in my resume, solve the various type of analytics problems. I think I can play an important role of a cog in this wheel of marriage between Computer Science, Statistics and Artificial Intelligence better known as […]

Development of an Automatic Online Transcriber for Online Classes Using Machine Learning

Abstract The field of speech processing has been of great concern to scientists and engineers for decades, with the researchers aiming to create computer systems capable of understanding and/or mimicking human speech. Breakthroughs in the previous decade introduced the concept of using deep learning models to analyse audio streams to develop technologies such as Siri or Alexa which are capable of responding to voice commands. In recent times, online meetings and classes have become a part of our normal day-to-day […]

Traditional Machine Learning and Big Data Analytics in Virtual Screening: a Comparative Study

Abstract Nowadays, the massive amount of data that needs to be processed is increased. High-performance computation (HPC) and big data analytics are required. Inside the identical context, research on drug discovery has reached an area where it has no preference but the usage of HPC and huge data processing systems to perform its targets in a reasonable time. Virtual screening (VS) is considered one of the most computationally intensive and heavy tasks, it acts an essential role in designing new […]

Real-Time Object Detection in Machine Learning

Traditional methods of computing have never matched the human ability to see and recognize objects with ease and precision, but with recent advancements of neural network image classifying localization and algorithms, computers are coming ever closer to a fully developed computer vision. Identifying objects is not the sole problem; being able to quickly and efficiently classify objects in real time is the true challenge. The focus of this paper will be to detail an efficient algorithm to classify objects in […]

Sentiment Analysis on Twitter Dataset Using Machine Learning

Abstract The wide spread of World Wide Web has brought a new way of expressing the sentiments of individuals. It is also a medium with a huge amount of information where users can view the opinion of other users that are classified into different sentiment classes and are increasingly growing as a key factor in decision making. This paper contributes to the sentiment analysis for customers’ review classification which is helpful to analyze the information in the form of the […]

Machine Commits Suicide: Suicide Study

Abstract Suicide is a big cause of death, we can say this is a premature and preventable. It outlines the cross-country disparities and the rate of suicide patterns in different countries between 1985 to 2016 respectively. Data are form the World Health Organization (2018). This show that suicides rates differ widely from country to country, often within the same region or at similar levels. The findings indicates that over ninety percent variations in suicide rates is due to variations between […]

Learning Models for Exploring Big Data

To address the problem, multimodal deep learning models have been proposed .Since vectors cannot handle highly hetrogeneous data so we are using Tensors and since Stack auto encoders are single way we have to use a new stacked auto encoder. In MDL They perform feature learning from each modality using conventional deep learning models,The deep computation model was proposed for big data feature learning based on the tensor big data representation model. In the tensor big data representation model, each […]

IDENTIFY a BUSINESS THEORY|FRAMEWORK

In the 70s and 80s, digital clocks were probably the most advanced-looking technology visible in doctor’s offices. But nowadays, when you look around in medical facilities and hospitals, digital clocks are now built into the anatomy of the many technical devices ticking and running rapid. In fact, you probably couldn’t look more than ten feet without seeing some sort of advanced technology. For the past several decades, technology has been advancing at exponential rates, which in effect is feeding and […]

Artificial Intelligence in Medicine

When consumers are first exposed to AI in the medical realm, their first response is hesitation, and rightfully so. Humans’ natural tendency is to process and know the system potentially being performed on them before having it perform a task on them. Longoni, Bonezzi, and Morewedge discuss different studies that illustrate human tendencies and the problem of consumer public approval in nine studies. These points are backed up by data points and research. In study 6, Longoni discusses how artificial […]

Online Hidden Markov Model

Introduction A study indicated that Artificial Intelligence and Machine Learning are popular technologies today that will greatly impact businesses for years to come. Machine Learning and Deep Learning models are powerful enough to go through billions of data points to provide insights that only experts could do before. Tools used in Machine Learning are nothing but set of sophisticated offline algorithms and online algorithms. An online algorithm follows a learning process which is in a serial fashion. This algorithm takes […]

Artificial Intelligence and Robotics

Introduction Machines and algorithms in the workplace are expected to create 133 million new roles, but cause 75 million jobs to be displaced by 2022, according to a new report from the World Economic Forum (WEF) called “The Future of Jobs 2018.” This means that the growth of Artificial Intelligence (AI) and robotics could create 58 million net new jobs in the next few years. Due to this transformation, it will have a major impact on the global workforce, which […]

Advanced Packaging Tool

Describe how machine learning and data analytics could have detected and/or prevented the APT you analyzed had the victim organization deployed these technologies at the time of the event. Be specific. APT attacks are unique and traditional security measures are ineffective against them. APT attackers are not fearful of taking time to spread malicious attacks. Therefore, the focus should shift to full-packet, deep-packet inspection and big data analytics using more advanced algorithms for analysis. APT attacks take longer because the […]

Clustering Methods

“Ask those who remember, are mindful if you do not know).” (Holy Qur’an, 6:43) Removal Of Redundant Dimensions To Find Clusters In N-Dimensional Data Using Subspace Clustering Abstract The data mining has emerged as a powerful tool to extract knowledge from huge databases. Researchers have introduced several machine learning algorithms to explore the databases to discover information, hidden patterns, and rules from the data which were not known at the data recording time. Due to the remarkable developments in the […]

Machine Learning Essays