What Comes After Deep Learning

*Summary:**We’re stuck. There hasn’t been a major breakthrough in algorithms in the last year. Here’s a survey of the leading contenders for that next major…*

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…

Blog 10 Common NLP Terms Explained for the Text An 11 Likes Dashboards in RThis is a tutorial to show how to implement dashboards in R, using the new "flexdashboard" library package.

this new library leverages these libraries and allows us to create…

Blog Dashboards in R 9 Likes
12 Algorithms Every Data Scientist Should Kno

A rather comprehensive list of algorithms can be found here. Many are posted…

Blog 12 Algorithms Every Data Scientist Should Kno 34 Likes How to measure customer satisfaction correctlImage A: Customer Satisfaction Tree - Courtesy of MarketingStat…

Blog How to measure customer satisfaction correctl 12 Likes
Write Code to Rewrite Your Code: jscodeshift
## Codemods with jscodeshift

How many times have you used the find-and-replace functionality across a directory to make changes to JavaScript source files? If…

Blog Write Code to Rewrite Your Code: jscodeshift 1 Like Best practices of orchestrating Python and R Blog Best practices of orchestrating Python and R 9 Likes
When to Categorize Continuous Predictor in a
** 1 Background**

Research fields usually follow the practice of categorizing continuous predictor variables, and they are the same who mostly use ANOVA. They often do it through median…

Blog When to Categorize Continuous Predictor in a 3 Likes [Cheat Sheet] Python Basics For Data ScienceThe use of Python as a data science tool has been on the rise over the past few years: 54% of the respondents of the latest O'Reilly Data Science Salary Survey indicated that they used Python. The…

Blog [Cheat Sheet] Python Basics For Data Science 29 Likes Data Scientist Skill SetData science is first and foremost a talent-based discipline and capability. Platforms, tools and IT…

Blog Data Scientist Skill Set 16 Likes
Data Science Simplified Part 10: An Introduct

Webster defines classification as follows:…

Blog Data Science Simplified Part 10: An Introduct 2 Likes
Solving Simple Probability Problems with Simu
# Problem 1

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Solving Simple Probability Problems with Simu
2 Likes

Considering the probability distribution associated with rolling 3 fair dice labelled d1, d2 and d3, calculate the probability of the…

Overview of Artificial Intelligence and Role
## Artificial Intelligence Overview

AI refers to ‘Artificial Intelligence’ which means making machines capable of performing intelligent…

Blog Overview of Artificial Intelligence and Role 10 Likes
Learn under the hood of Gradient Descent algo

When I first started out learning about machine learning algorithms, it turned out to be quite a task to gain an intuition of what the algorithms are doing. Not just because it was difficult to…

Blog Learn under the hood of Gradient Descent algo 7 Likes
The Most Common Analytical and Statistical Mi

It is not only about understanding about statistics, it is also about implementing the correct statistical approach or method. In this brief article I will showcase some common statistical…

Blog The Most Common Analytical and Statistical Mi 23 Likes
The Case for a New “Final Frontier” in Data A

*This article has been contributed by Alain Louchez (Georgia Tech Research Institute)*

The Internet of Things already…

Blog The Case for a New “Final Frontier” in Data A 4 Likes
The Analytics Pyramid of Needs

In this day and age, you can’t go a day without hearing terms such as “data science,” “big data,” or “analytics.” These terms have been thrown around to apply to so many situations that the…

Blog The Analytics Pyramid of Needs 1 Like Introducing a Graph-based Semantic Layer in E**Things, not Strings** Entity-centric views on enterprise information and all kinds of data sources provide means to get a more meaningful picture about all sorts of business objects.…

Theory Development Using Symbols Rather than

In this blog, I will be considering theory developments from changes in methodology. But first I want to express an opinion on the significance of using numbers. A "number" represents an amplitude…

Blog Theory Development Using Symbols Rather than 1 Like The 5 Hottest Data Science Blog Posts of theIt’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…

Blog The 5 Hottest Data Science Blog Posts of the 1 Like
12 Useful Resources to Explore the World of B

Big data, this flood of data that scares some people, has moved from hype to reality. However, collecting more data does not always mean better insights. The exponential data growth via social…

Blog 12 Useful Resources to Explore the World of B 8 Likes© 2018 Data Science Central Powered by

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