Here is our list of featured articles and resources posted since Monday.
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…
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 this post, I would like to discuss the reasons why it is an effective methodology.
One of the key messages around topological data analysis is that data has shape and the shape matters. Although it may…Continue
Added by Amelia Matteson on January 18, 2017 at 12:30pm — No Comments
This was Contributed by Harish Mohan. He is a Sr Manager, Global Marketing Analytics & Data Science at Intuit.
Marketing attribution is…Continue
Added by Shay Pal on January 17, 2017 at 4:00pm — No Comments
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,…Continue
Added by Shay Pal on January 17, 2017 at 3:30pm — No Comments
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 at and develop machine intelligence. Even more specifically, it is an invitation to collaborate in the construction of a Periodic Table of AI.
Let’s be honest. Thinking about Artificial Intelligence has proven to be difficult for us. We argue constantly about what is and is not AI. We…
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 order to know if you’re truly optimizing this critical tool.
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 are challenging to get your head around, especially, if you’re relying on scientific definitions for a plain and simple explanation.
We decided to put together a list of 10 common terms in Natural Language Processing which we’ve broken down in layman terms, making them easier to understand. So if you don’t know your “Bag of Words”…Continue
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 summarizes the article.
The three academic taxonomies (IEEE Taxonomy,…Continue
Added by Gürol Canbek on January 16, 2017 at 11:30pm — No Comments
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 for Machine Learning
Description:On April 15, 1912, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew.…Continue
Added by Emmanuelle Rieuf on January 16, 2017 at 11:00am — No Comments
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 target variable). It works both for classification and regression problems. It's one of the sought-after machine learning algorithm that is widely used in data science competitions.
What is Support Vector Machine?
The main idea of support vector machine is to…
Added by Deepanshu Bhalla on January 16, 2017 at 7:30am — No Comments
As the world is getting more tech savvy and advancements made in the information technology especially in the healthcare industry has opened areas in data mining and machine learning. Within the area of data mining one technique which has gained a lot of popularity as well as skepticism among the auditors and fraud detectives is Benford’s Law or “The Law of First digit.
In the past some researchers in Canada used the Benford’s Law distribution to detect anomalies within the claims…Continue
Data isn't your business.It's just by-product of doing business.I know you want to get rid of those redundant data which suck up a lot of storage space.From years companies are known to pay extra to eradicate waste leftover from the production process.Times have changed, though. Through genius innovation, many entrepreneurs have taken what was once useless sludge and transmuted it into massive profits.
After yielding their finished product, breweries in the late 19th…Continue
Added by vivek upadhyay on January 15, 2017 at 9:30am — No Comments
Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week.
Added by Vincent Granville on January 14, 2017 at 9:00am — No Comments
I have been writing about the Crosswave Differential Algorithm for a number of years. I described in previous blogs how the algorithm emerged almost by accident while I was attempting to write an application intended to support quality control. In this blog I will be discussing the event model that powers the algorithm. Events are the details and circumstances…Continue
Added by Don Philip Faithful on January 14, 2017 at 5:27am — No Comments
Contributed by David Richard Steinmetz. He enrolled in the NYC Data Science Academy 12-week full time Data Science Bootcamp program taking place between July 5th to September 23rd, 2016. This post is based on their third project - Web Scraping, due on 6th week of the program. The original article can be found here.
Added by NYC Data Science Academy on January 13, 2017 at 2:30pm — No Comments
Big Data has truly come of age in 2013 when Oxford English Dictionary introduced the term “Big Data” for the first time in its dictionary. That of course begs the question ‘When was the term Big Data first used and Why?’. My curiosity led me to lot of research material but I relied mostly on Mr. Gil Press’s “A Very Short History of Big data” from Forbes, Mr. Steve Lohr’s “The Origins of ‘Big Data': An Etymological Detective Story“ from The New York Times, Mr. Mark van Rijmenam’s “A Short…Continue
Added by Ramesh Dontha on January 13, 2017 at 8:00am — No Comments
Big data and analytics are proving to be a great way to bring about positive results regarding operations. Even though the success of a business still relies on keeping the customer happy, it's no secret that social media and new technology have a hand in it. This is why analytics is such a great option when improving upon relationships with the customer.
1. Utilize Social and Mobile Roles
When a company wants to find out what their…Continue
Added by Sasha Brown on January 13, 2017 at 5:23am — No Comments
Here is our new selection of featured articles and resources posted since Monday.Continue
Added by Vincent Granville on January 12, 2017 at 10:22am — No Comments