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The Alphabet of Data Science

The alphabet of data science...

  • Artificial Intelligence:: AI is the capability of a machine to imitate intelligent human behavior. BMW, Tesla, Google are using AI for self-driving cars. AI should be used to solve real world tough problems like climate modeling to disease analysis and betterment of humanity.
  • Boosting and Bagging: it is the technique used to generate more accurate models by ensembling multiple models together
  • Crisp-DM: is the cross industry…
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Added by Vincent Granville on April 21, 2017 at 3:30pm — No Comments

50 Important Things You Need to Know About Data Science

Below are a few extract from a long list of quotes by leading data scientists. Click here to read the whole list. Also, do not miss our new popular articles: How to lie with data, and…

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Added by Vincent Granville on April 21, 2017 at 10:30am — No Comments

Tips for Reducing Fraud and Bolstering Customer Data Security

Many businesses, especially small businesses, underestimate the danger their company’s data is in. They have the idea that because they’re fairly small, no one would want to try to steal the customer information they collect. After all, why go after a few thousand customer records when you could attack a large corporation and potentially walk away with tens of…

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Added by Peter Davidson on April 17, 2017 at 6:00am — No Comments

Great Saturday Reading

Here is our selection of featured articles and resources posted today:

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Added by Vincent Granville on April 15, 2017 at 11:00am — No Comments

Monte Carlo Analysis and Simulation

The Monte Carlo method is an simple way to solve very difficult probabilistic problems. This text is a very simple, didactic introduction to this subject, a mixture of history, mathematics and mythology.

 

The method has origins in the World War II, proposed by the Polish American mathematician Stanislaw Ulam and Hungary American mathematician John Von Neumann.…

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Added by Arnaldo Gunzi on April 11, 2017 at 4:00pm — No Comments

4 types of social media analytics explained

Depending on the business objectives, social media analytics can take four different forms, namely, descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.

Social media data is the new gold and analytics is its digging tool. Social Media Analytics (SMA) is the art and science of extracting valuable hidden business insights from social media media data (Khan, 2015) . SMA turns the…

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Added by Gohar Feroz Khan on April 10, 2017 at 1:30pm — No Comments

The Future of Data Science in One Picture

We have published various "one picture" articles about data science topics. Our readers find them very useful, as they convey the same amount of information in one visual, as a long article. Below is a selection:

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Added by Vincent Granville on April 10, 2017 at 11:36am — No Comments

Great Saturday Reading

New batch of featured articles and resources posted this morning:

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Added by Vincent Granville on April 8, 2017 at 11:36am — No Comments

Data Democracy Encourages Social BI and Creates Citizen Data Scientists

Democracy is a great thing! The more involved people are, the more they understand, the better decisions they can make for themselves and for everyone else AND they can make a better contribution as well. Data Democratization works the same way. In years past, businesses thought that only senior management…

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Added by Arbuda Dave on April 7, 2017 at 12:30am — No Comments

Factoring Massive Numbers: Machine Learning Approach - Why and How

We are interested here in factoring numbers that are a product of two very large primes. Such numbers are used by encryption algorithms such as RSA, and the prime factors represent the keys (public and private) of the encryption code. Here you will also learn how data science techniques are applied to big data, including visualization, to derive insights. This article is good reading for the data scientist in training, who might not necessarily have easy access to interesting data: here the…

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Added by Vincent Granville on April 6, 2017 at 7:30pm — No Comments

The Ultimate Guide for Choosing Algorithms for Predictive Modeling

There are three ways to look at data. The first is analytics. This is when you look at data from the (potentially very recent) past. Think analytics. It allows you to explore the questions what happened and why did it happen? The second is monitoring. This is looking at things as they happen. In many…

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Added by Steven M. Mehler on April 3, 2017 at 12:00am — 1 Comment

Great Saturday Reading

Here is our list of featured articles and resources for this weekend:

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Added by Vincent Granville on April 1, 2017 at 1:00pm — No Comments

Great Saturday Reading

Here is our selection of featured articles and resources posted today:

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Added by Vincent Granville on March 25, 2017 at 11:00am — No Comments

Great Saturday Reading

Here is our selection of featured articles and resources posted since Thursday.

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Added by Vincent Granville on March 18, 2017 at 12:19pm — No Comments

Advanced Machine Learning with Basic Excel

In this article, I present a few modern techniques that have been used in various business contexts, comparing performance with traditional methods. The advanced techniques in question are math-free, innovative, efficiently process large amounts of unstructured data, and are robust and scalable. Implementations in Python, R, Julia and Perl are provided, but here we focus on an Excel version that does not even require any Excel macros, coding, plug-ins, or anything other than the most…

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Added by Vincent Granville on March 10, 2017 at 1:13pm — No Comments

Math Challenge: Computing the Average Rotational Speed of Earth

Or of any celestial body. Here I discuss a solution that can be explained to high school students, to get them interested in mathematics, statistics and probabilities. A few interesting related problems further enhance the pedagogical value of this discussion.  

I stumbled upon this kind of problems when learning advanced mathematics in my postgraduate studies, in a course entitled stochastic geometry. Just formulating the problem required advanced knowledge of sophisticated…

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Added by Vincent Granville on March 3, 2017 at 1:00am — No Comments

Data Science Summarized in One Picture

After posting Machine Learning Summarized in One Picture, we posted a picture for data science. You can check it out here

Other articles published since Monday…

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Added by Vincent Granville on February 28, 2017 at 9:30am — No Comments

Great Saturday Reading

Here is our selection of featured articles and resources for the weekend:

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Added by Vincent Granville on February 25, 2017 at 3:00pm — No Comments

Python vs R: 4 Implementations of Same Machine Learning Technique

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. We asked for help to translate the original Perl script to Python and R, and finally decided to work with Naveenkumar Ramaraju, who is currently pursuing a master's in Data Science…

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Added by Vincent Granville on February 22, 2017 at 11:30am — No Comments

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