Ontologies: Practical Applications
In the previous post, “Why Ontologies“, we explored concepts at a very high level about what an ontology is, and how they can be used in… Read More »Ontologies: Practical Applications
In the previous post, “Why Ontologies“, we explored concepts at a very high level about what an ontology is, and how they can be used in… Read More »Ontologies: Practical Applications
Linear Model better known as linear regression is one of the most common and flexible analysis framework to identify relationship between two or more variables.… Read More »Deducer Tutorial: Creating Linear Model using R Deducer Package
Guest blog post by Rubens Zimbres, PhD. This article brings images from my work modeling with Mathematica, my experience as a Business Analyst and also my… Read More »Data Science, Machine Learning, BI Explained in a Amazing Paragraphs
Here is an update from Zacharias Voulgaris, Data Science Author, Video Producer, and Acquisitions Consultant. The message below is from Zacharias. 1. Produced Videos for O’Reilly Safari… Read More »Two New Data Science Books
Here are just a few featured listings in our new section: Boot Camp – Springboard Consultant – Mike Allen Data Sets – DataBake View all listings here.
Guest post by Ronald van Loon The Internet of Things (IoT) is changing our world. This may seem like a bold statement, but consider the impact… Read More »How IoT is Changing the World: Cases from Visa, Airbus, Bosch & SNCF
Managing your relationships with customers, suppliers, and partners and constantly improving their experience is a proven way to build a sustainable and profitable business, and… Read More »How B2B Ecosystems & (Big) Data Can Transform Sales and Marketing Practices
After posting Machine Learning Summarized in One Picture, here is a picture for data science: I tried to find the source for this picture, but could… Read More »Data Science Summarized in One Picture
I listened once to an old professor talking about working out factorial ANOVA and multiple regression on paper, back in the day. He described a… Read More »Leaping to a New Optimum in the Office Workspace
In this post, we consider different approaches for time series modeling. The forecasting approaches using linear models, ARIMA alpgorithm, XGBoost machine learning algorithm are described.… Read More »Linear, Machine Learning and Probabilistic Approaches for Time Series Analysis