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All Blog Posts Tagged 'statistics' (36)

A guide to manipulating, analyzing, and visualizing data in R

R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. 

Learn the fundamentals of data analysis in the second edition of Data Analysis with R, authored by data scientist…

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Added by Packt Publishing on May 8, 2018 at 10:30pm — No Comments

A “quick” introduction to PyMC3 and Bayesian models

A “quick” introduction to PyMC3 and Bayesian models, Part I

In this post, I give a “brief”, practical introduction using a specific and hopefully relate-able example drawn from real data.…

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Added by Jesus Ramos on May 8, 2018 at 10:00am — No Comments

How I Learned to Stop Worrying and Love Uncertainty

Humans and uncertainty

Since their early days, humans have had an important, often antagonistic relationship with uncertainty; we try to kill it everywhere we find it. Without an explanation for many natural phenomena, humans invented gods to explain them, and without certainty of the future, they consulted oracles.

It was…

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Added by Jesus Ramos on May 8, 2018 at 9:00am — No Comments

Significance of p-value

P – Value

In this blog we will discuss the important functionality of p – value in statistical experiments. Why p – value is the deciding factor for accepting or rejecting a hypothesis we develop before any experiment.

Problem Statement:

You have launched a product (e.g. a phone) in the market. And you get customer feedback that the phone has over heating problem. As the phone is already launched in the market…

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Added by Amlan Kumar Pradhan on March 9, 2018 at 3:30am — 5 Comments

This is Why Data Scientists Make So Much

If you have ever wondered or still wonder what the best job in Silicon Valley is, which ranks No. 1 on Glassdoor’s best jobs in America list for 2016 and 2017, you can stop now. Also referred to as the sexiest job of the 21st century, it’s data science.

Whether you look at the salary and packages currently being offered for this job, or the rise in demand for these professionals, the numbers still look pretty impressive. According to Glassdoor, data scientists make on average $128,549…

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Added by Claudia Virlanuta on February 13, 2018 at 9:30am — No Comments

DescriptiveStats.OBeu v1.2.1 release on CRAN

DescriptiveStats.OBeu v1.2.1 release on CRAN

We are very pleased to announce DescriptiveStats.OBeu v1.2.1 on CRAN!

DescriptiveStats.OBeu is used on OpenBudgets.eu data mininig tool platform to estimate central tendency and dispersion of numeric variables along with their distributions and correlations and the…

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Added by Kleanthis Koupidis on September 30, 2017 at 2:27am — No Comments

Finding "Gems" in Big Data

(Photo credit:  Rob Lavinsky, iRocks.com – CC-BY-SA-3.0)

In 1945, Count ,Richard Taaffe* a Dublin gem collector, was sorting through a set of spinel gems that he had bought, and found one that…

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Added by Peter Bruce on March 30, 2017 at 2:30pm — No Comments

5 Free Statistics eBooks You Need to Read This Autumn

Did you have a good, relaxing break over the summer? Are you refreshed and re-energised, looking forward to a new start, a new you and brushing up on your data analysis skills? If so, I’ve thrown together a collection of a few excellent (and free!) statistics eBooks for your Kindle to sharpen up your stats while you’re on the long commute to work. Just try not to read them while driving!

 

These books require different levels of existing knowledge, and while some are for…

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Added by Lee Baker on August 31, 2016 at 4:00am — 6 Comments

Conditional Random Fields (CRF): Short Survey

Currently, many of us are overwhelmed with mighty power of Deep Learning. We start to forget about humble graphical models. CRF is not so trendy as LSTM, but it is robust, reliable and worth noting.

In this post, you will find a short summary about CRF (aka Conditional Random Fields) – what is this thing, what is it for and some interesting facts. Enjoy!…

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Added by Nikitinsky Nikita on August 22, 2016 at 5:00am — No Comments

The 5 Hottest Data Science Blog Posts of the Summer

It’s been a rather quiet summer on Data Science Central with fewer blog posts being published than at other times of the year, but I guess it shouldn’t be too much of a surprise – DSC has had to compete against summer holidays, the Euro 2016 football tournament and the Rio 2016 Olympics.

Of the relatively few that have been published, there have been a few gems. At the time of writing, the 5 blog posts on this list have been read by almost 60,000 of you.

If you haven’t seen any…

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Added by Lee Baker on August 18, 2016 at 5:30am — No Comments

Brexit: Why Projections Were Wrong

Shame on YouGov! Did their survey really miss the outcome of the Brexit consultation? Not quite. If you hit your finger while hammering a nail into the wall, do not blame the hammer.

The media circuit is responsible for having broadcasted inaccurate information. I must confirm that I am in no way linked to YouGov, the market research agency that supplied most media agencies with projections of the outcome results for the Brexit consultation in the UK, and this article…

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Added by Mirio De Rosa on August 16, 2016 at 10:00pm — 6 Comments

Why Good Data Scientists are Worth the Big Bucks

Data scientist is the ‘Sexiest Job of the 21st Century’, so say Thomas Davenport and DJ Patil in their seminal 2012 Harvard Business Review article.

Since then, data scientists have been very much in demand and their wages have soared. Compared to statisticians, computer programmers and AI guys (who are still regarded as geeks), they are extremely well paid.

But…

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Added by Lee Baker on July 5, 2016 at 6:26am — 4 Comments

Statistics is Dead – Long Live Data Science…

I keep hearing Data Scientists say that ‘Statistics is Dead’, and they even have big debates about it attended by the good and great of Data Science. Interestingly, there seem to be very few actual statisticians at these debates.

So why do Data Scientists think that stats is dead? Where does the notion that there is no longer any need for statistical analysis come from? And are they right?

Is statistics dead or is it just pining for…

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Added by Lee Baker on June 23, 2016 at 2:30am — 28 Comments

50 Shades of Grey – The Psychology of a Data Scientist

Unless you’ve recently graduated from one of the new Data Science courses that have been popping up online and in various universities around the world, then becoming a Data Scientist was most likely slightly accidental and was more about the journey than the destination.

 

Here’s my journey. See if you recognise any of it in your own:

I started out as a physicist and had a strong mathematical grounding, but I had a passion for medicine. After completing my bachelor’s…

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Added by Lee Baker on April 19, 2016 at 2:00am — 6 Comments

Free data mining programs for everyday use

If you want quickly to get started with data analysis, here is my advise on free software programs that I use every day for data analysis, statistics and data mining.

R-package - a software for statistical computing written in C. Script oriented.

  • Pros: widely used, simple, extensive documentation.
  • Cons: less options for graphics compared to competitors, no…
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Added by jwork.ORG on December 23, 2015 at 3:30pm — No Comments

A Statistician's `Big Tent' View on Big Data and Data Science (v9)

There is an updated version (as of  September 28, 2015) of my presentation

‘A Statistician’s 'Big Tent' View on Big Data and Data Science’

at  …

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Added by Prof. Dr. Diego Kuonen on October 12, 2015 at 9:12am — No Comments

Data Analysis in R

I have written about R in the past, and it is one of the hottest tools for data analysis today. To further demonstrate the power of R, I found click-through rate data…

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Added by Divya Parmar on September 28, 2015 at 6:05am — 1 Comment

How do your statistics boss you around?

I’m a big fan of statistics. Other than being fun to play with and fun to illustrate, they serve a lot of important tasks for researchers. They can quickly identify which of 500 comparisons is statistically significant. They can offer data to show whether your brand users comprise 2 distinct groups of people or 7 distinct groups of people. They can offer data to show which price your consumers would refuse to pay.

But there are two ways to use statistics. The right way and the wrong…

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Added by Annie Pettit on August 28, 2015 at 4:32am — 1 Comment

A Simple Introduction to Data Science

When you hear the term data scientist, what do you think of? If you’re like most people, you might think of something incredibly complex, with statistical terms and programming languages that are beyond comprehension. You might think that only PhD’s in computer science can do data science.

But if you peel back the layers, you’ll find that this isn’t the case. Data science, coined by DJ Patil who is now the…

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Added by Divya Parmar on August 11, 2015 at 8:46am — 2 Comments

Fantasy Sports Betting: The Next 'Big Thing' Thanks to Big Data

Many believe that Fantasy Sports Betting (FSB) is the next immensely popular online game, similar to the arrival of Poker a decade ago, and the incredible growth of the industry in the USA is the best proof of that.

Since betting on sporting events has been increasingly evident since the turn of the century and has become a global professional sports sector in itself, it makes sense to explore how it can merge together with FSB. Are they complementary products or is…

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Added by Jure Rejec on June 21, 2015 at 10:57pm — 1 Comment

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