The trend and seasonality can be accounted for in a linear model by including sinusoidal components with a given frequency. However, finding the appropriate frequency… Read More »How signal processing can be used to identify patterns in complex time series
This article is written by Gunnar Carlsson. Topological data analysis has been very successful in discovering information in many large and complex data sets. In… Read More »Why Topological Data Analysis Works
This was Contributed by Harish Mohan. He is a Sr Manager, Global Marketing Analytics & Data Science at Intuit. Marketing attribution is something that receives much… Read More »Attribution & Marketing Strategy – Your marketing $ at work
This was contributed by Anirban Das. He is a Data Scientist at Niara If you search on LinkedIn for data-driven large companies like Amazon, Netflix, Facebook,… Read More »Reasons to hire a Director of Data Science before hiring your first data scientist
This article was written by Kris Hammond. This is an invitation to collaborate. In particular, it is an invitation to collaborate in framing how we look… Read More »The Periodic Table Of AI
Summary: There are five basic styles of recommenders differentiated mostly by their core algorithms. You need to understand what’s going on inside the box in… Read More »5 Types of Recommenders
If you’re relatively new to the NLP and Text Analysis world, you’ll more than likely have come across some pretty technical terms and acronyms, that… Read More »10 Common NLP Terms Explained for the Text Analysis Novice
Our article “New Comprehensive Taxonomies on Mobile Security and Malware Analysis” has been published in International Journal of Information Security Science (IJISS). The poster below… Read More »New Comprehensive Taxonomies on Mobile Security and Malware Analysis
This article was posted by Arpan Gupta (Indian Institute of Technology). Let’s learn from a precise demo on Fitting Logistic Regression on Titanic Data Set… Read More »Logistic Regression using python
This tutorial describes theory and practical application of Support Vector Machines (SVM) with R code. It’s a popular supervised learning algorithm (i.e. classify or predict… Read More »Learn Support Vector Machine (SVM) from Scratch in R
