Machine learning is ubiquitous in our everyday life. Whether or not you know it, the odds are that machine learning powers the applications you use daily. It’s the underlying technology behind many apps on your smartphones, from Siri to virtual assistants to Google Maps and more. Businesses also use AI and machine learning to automate processes, gain […]
Machine Learning Algorithms
Machine learning algorithms establish rules and processes that are used while processing a specific problem. These algorithms analyze data to predict the probable results of certain behaviors. As new data is received, these algorithms learn, optimizing and improving their responses using feedback from previous performances. Combinations of machine learning algorithms can produce artificial intelligence (AI). Machine […]
What Are Machine Learning Algorithms?
A subfield of artificial intelligence, machine learning (ML) uses specific algorithms to analyze datasets and predict outcomes. These algorithms are known as machine learning algorithms. Initially, AI made use of rule-based algorithms – strict systems that used information that was already hard-coded into the system. It wasn’t a flexible approach and could not learn and adapt to new information […]
Machine Learning vs. Deep Learning
The debate on machine learning vs. deep learning has gained considerable steam in the past few years. The fundamental strength of both these technologies lies in their ability to learn from available data. Though both of these offshoot AI technologies triumph in “learning algorithms,” the manner in which machine learning (ML) algorithms learn is very […]
Practicing Data Science
Click to learn more about author Rosaria Silipo. There are many declinations of Data Science projects: with or without labeled data; stopping at data wrangling or involving Machine Learning algorithms; predicting classes or predicting numbers; with unevenly distributed classes, with binary classes, or even with no examples at all of one of the classes; with […]
Analytics vs. Data Discovery
Newer and faster data channels are enveloping the digital business landscape, so business operators and users are becoming more demanding about what they want from their data. Now, the traditional Business Intelligence (BI) platforms are no longer sufficient to address all types of business queries; users are increasingly looking toward the Data Discovery capabilities of […]
Getting Back to the Basics: What is Machine Learning?
Click to learn more about author Seth Deland. Machine Learning seems to be the engineering industry’s latest buzzword – a technology with astonishing potential, yet one that many businesses struggle to understand, let alone embrace. Just last year, fewer than one-third (23%) of businesses had adopted any level of Machine Learning automation, and only 5% reported […]
Four Open Source Tools to Start Your Analytics Journey
Click to learn more about author Mark Hensley. As an adjunct instructor at University of Redlands, I teach several courses in the fields of business and technology. In that capacity I get to meet a lot of bright young people with a keen interest in data and Analytics. Unfortunately, the little financial resources most students […]
The Impact of Data Quality in the Machine Learning Era
A significant issue in Enterprise Data Management today is Data Quality, because business data requires thorough cleansing and preparation to be used as input to any Analytics or Business Intelligence system. In an era of automated and Self-Service Business Analytics, Data Quality has assumed even more importance as average business users do not often have […]
Data, Metadata, and the AI Horizon
Click to learn more about author Paul Barth. Why would a bank acquire an AI software company? Last week, TDBank announced the acquisition of Layer 6, an AI startup. The rapid emergence of Finserv startups is putting pressure on established institutions, leveraging the speed, scale, and cost of an all-digital infrastructure. Most important, these startups […]