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
It isn’t too unusual for surveys to contain open-ended questions: respondents would be free to enter their comments in any manner. More on an operational… Read More »Dealing with Unstructured Input
If you’ve been struggling to get useful results from big data, you’re not alone. The buzz has been that any company not doing analytics is… Read More »How Big Data is Becoming Smaller Than Small Data
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation,… Read More »21 Great Articles and Tutorials on Time Series
Contributed by Yannick Kimmel. He is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between April 11th to July 1st, 2016. This… Read More »Food and health demographics in the USA
The Internet of Things (IoT) is changing our world. This may seem like a bold statement, but consider the impact this revolutionary technology has already… Read More »How IoT is Changing the World: Cases from Visa, Airbus, Bosch & SNCF
In short, an ontology is the specification of a conceptualization. What does that mean from the perspective of the information sciences? Wikipedia’s definition: “formal naming and… Read More »Why Ontologies?
Long title: The Goal-Question-Metric (GQM) Model to Transform Business Data into an Enterprise Asset. Today, digitization is dramatically changing the business landscape, and many progressive… Read More »Book: Data for Business Performance
Actually, this is about two R versions (standard and improved), a Python version, and a Perl version of a new machine learning technique recently published here.… Read More »Python vs R: 4 Implementations of Same Machine Learning Technique
When dealing with time series, the first step consists in isolating trends and periodicites. Once this is done, we are left with a normalized time… Read More »How and Why: Decorrelate Time Series
