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All Blog Posts Tagged 'Programming' (10)

Should CEOs Learn To Code? Yes!

What makes a great CEO?

First of all, the answer to that question depends on who raises it: An investor will likely come up with a different answer than an employee. What if you asked a CEO? He might give you his definition. Ask another CEO, and he will likely give you a slightly or even completely different view on this subject.

Ask five people, and you will get five answers

It seems nearly impossible to find an…

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Added by Rafael Knuth on February 21, 2019 at 5:00am — No Comments

Your Guide to Natural Language Processing (NLP)

How machines process and understand human language



Everything we express (either verbally or in written) carries huge amounts of information. The topic we choose, our tone, our selection of words, everything adds some type of information that can be interpreted and value extracted from it. In theory, we can understand and even predict human behaviour using that information.…

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Added by Diego Lopez Yse on January 18, 2019 at 3:46am — 1 Comment

Select Important Variables using Boruta Algorithm

This article explains how to select important variables using boruta package in R. Variable Selection is an important step in a predictive modeling project. It is also called 'Feature Selection'. Every private and public agency has started tracking data and collecting information of various attributes. It results to access to too many predictors for a predictive model. But not every variable is important for prediction of a particular task. Hence it is essential to…

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Added by Deepanshu Bhalla on June 1, 2017 at 9:00am — 1 Comment

Food Price Flow Visualization with Shiny App

Contributed by Bin Lin. He took NYC Data Science Academy 12 week full-time Data Science Bootcamp programbetween Jan 11th to Apr 1st, 2016. The post was based on his…

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Added by NYC Data Science Academy on April 12, 2016 at 1:30pm — No Comments

Find Marketing Clusters in 20 minutes in R

Have you ever wondered how to segment your customers? Customer segmentation is a really useful technique to group similar customers together and understand what works for that. You can then tailor your offering and marketing messages to the specific segments. If you do it right, you should be able to see a healthy increase in sales. After all, companies like Amazon target their customers on an individual level so you should at least be targeting them on a segment level.…

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Added by Sudhanshu Ahuja on April 2, 2016 at 10:34pm — 6 Comments

How to forecast using Regression Analysis in R

Regression is the first technique you’ll learn in most analytics books. It is a very useful and simple form of supervised learning used to predict a quantitative response.



Originally published on Ideatory…

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Added by Sudhanshu Ahuja on March 28, 2016 at 8:00pm — No Comments

How to make any plot with ggplot2?

Ggplot2 is the most elegant and aesthetically pleasing graphics framework available in R. It has a nicely planned structure to it. This tutorial focusses on exposing this underlying structure you can use to make any ggplot. But, the way you make plots in ggplot2 is very different from base graphics making the learning curve steep. So leave what you know about base graphics behind and follow along. You are just 5…

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Added by Selva Prabhakaran on January 10, 2016 at 1:00am — 1 Comment

No cost training to becoming a data scientist

Statistical analysis and data mining were the top skills that got people hired in 2014 based on LinkedIn analysis of 330 million LinkedIn member profiles. We live in an increasingly data-driven world, and businesses are aggressively hiring experts in data storage, retrieval, and analysis. Across the globe, statistics and data analysis skills were highly valued. In the US, India, and France, those skills are in particularly high demand.

What is data science?

Data scientist…

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Added by Marina Mitrashov on September 17, 2015 at 3:30am — 1 Comment

Data Integrity: The Rest of the Story Part II

Buzz words are one of my least favorite things, but as buzz words go, I can appreciate the term “Data Lake.” It is one of the few buzz words that communicates a meaning very close to its intended definition. As you might imagine, with the advent of large scale data processing, there would be a need to name the location where lots of data resides, ergo, data lake. I personally prefer to call it a series of redundant commodity servers with Direct-Attached Storage, or hyperscale computing with…

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Added by Randall Shane on May 21, 2015 at 3:13pm — 1 Comment

Data Integrity: The Rest of the Story Part I

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Added by Randall Shane on May 2, 2015 at 4:30pm — No Comments

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