Subscribe to DSC Newsletter

All Blog Posts (5,685)

The Ultimate R Cheat Sheet - Major Upgrade

The Ultimate R Cheat Sheet simply put makes it easy to learn R. The Ultimate R Cheat Sheet saves you time by providing hyperlinks to the documentation and package-level cheat sheets for the most important packages in R. The latest update doubles its ultimateness by providing a second page that includes Special Topics:

  • Time Series, Forecasting, and Financial…

Continue

Added by Matt Dancho on January 7, 2019 at 3:00am — No Comments

Weekly Digest, January 7

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. To subscribe, follow this link.  

Featured Resources and Technical…

Continue

Added by Vincent Granville on January 6, 2019 at 9:30am — No Comments

No Hope for 6-Degrees

researcher from the IICSE University DE, United States, has come up with trivial examples that put down the 6-Degree Theory, the theory that made Kevin Bacon appear in association with Academia online, Bacon.

 

Amongst those, it is the plot of the movie Cast Away, with Tom Hanks: if that situation happens in real…

Continue

Added by Marcia Ricci Pinheiro on January 5, 2019 at 8:09pm — 1 Comment

AI / Machine learning Cloud APIs: AWS – Azure - GCP - our experience

Most of us start working with specific programming languages like TensorFlow and Pyspark

So, we are relatively not so used to working with Cloud APIs.

But Cloud APIs for Machine Learning and Deep Learning can make your life a lot easier in building AI and Machine Learning services

Of course, the Cloud APIs have a cost – but they…

Continue

Added by ajit jaokar on January 5, 2019 at 2:00pm — No Comments

Difference Between Big Data and Internet of Things

What does it mean, as a vendor, to say that you support the Internet of Things (IOT) from an analytics perspective?

I think the heart of that question really boils down to this:

What are the differences between big data(which is analyzing large amounts of mostly human-generated data to support longer-duration use cases such as predictive maintenance, capacity planning, customer 360 and revenue protection) and…

Continue

Added by Bill Schmarzo on January 5, 2019 at 1:00pm — No Comments

The Future of Innovation Analytics

Is innovation an artisanal feat? Can innovation be weighed, measured on a scale, and optimized like a production operation? Can the use of data analytics disrupt creativity as it has done in other business functions? As an innovation consultant specialized in data science, I see the power of data and creativity going hand-in-hand every day. To understand how this happens, we will have to start with the evolution of innovation analytics.

Early life of innovation…

Continue

Added by Ramon Serrallonga on January 4, 2019 at 11:53pm — No Comments

Comparison of the Text Distance Metrics

Measuring the similarity between texts is a common task in many applications. It is useful in classic NLP fields like search, as well as in such far from NLP areas as medicine and genetics. There are many different approaches of how to compare two texts (strings of characters). Each has its own advantages and disadvantages and is good only…

Continue

Added by Igor Bobriakov on January 4, 2019 at 12:30am — No Comments

Artificial Intelligence and Art

Introduction

Edmond de Bellamy, from La Famillie de Bellamy created by Obvious, a French group; was auctioned and sold for $432,500 at Christie´s, a British auction house. The big difference with this painting is how it was created. It was not created with brushes, pigments, canvas, paper or even a painter. The secret of this painting is the use of…

Continue

Added by Mauricio Mani on January 3, 2019 at 8:00pm — No Comments

Free Hosted Dashboards in IBM Watson Studio

The Data Scientist Need for Hosted Dashboards

As data people, we very typically spend a great deal of time summarizing our findings to stakeholders in a clear, concise and impactful way. Often times, due to the lack of infrastructure, we end up using presentation files with chart images. This can become a real pain when we need to make modifications or when the analysis needs to “live on”. Typically, this is where BI (business intelligence) or dashboard tools shine. Unfortunately,…

Continue

Added by Laura Ellis on January 3, 2019 at 7:30pm — No Comments

Design Thinking Humanizes Data Science

The article “Cognitive Hub:  The Future of Work” and the supporting infographic (see Figure 1) provides an interesting perspective on some “technology combinations” that could transform the workplace of the future, all enabled by Artificial Intelligence (AI):

  • AI + Internet of Things (IoT) yields workplace decision support
  • AI + Human-machine Interaction…
Continue

Added by Bill Schmarzo on January 3, 2019 at 5:14pm — No Comments

High Density Region Estimation with KernelML

Data scientists and predictive modelers often use 1-D and 2-D aggregate statistics for exploratory analysis, data cleaning, and feature creation. Higher dimensional aggregations, i.e., 3 dimensional and above, are more difficult to visualize and understand. High density regions are one example of these N-dimensional statistics. High density regions can be useful for summarizing common characteristics across multiple variables. Another use case is to validate a forecast prediction’s…

Continue

Added by Rohan Kotwani on January 3, 2019 at 4:00pm — No Comments

Top 9 Data Science Use Cases in Media and Entertainment

Big players in the media and entertainment market every day face new challenges of the digital reality. The customers tend to search for the service that may be available at any time and any place regardless of the circumstances. This sphere becomes more and more competitive every day.…

Continue

Added by Igor Bobriakov on January 3, 2019 at 10:32am — No Comments

Thursday News: AI, Chatbots, Sentiment Analysis, Generative Adversarial Networks, GGMap

Here is our selection of featured articles and resources posted since Monday:

New Resources

Continue

Added by Vincent Granville on January 3, 2019 at 10:30am — No Comments

Updated ggmap Tutorial!

Y’all it may have taken me a little time, but I did listen. Thank you for your emails. Because of you, I have now updated my ggmap tutorial to address the Google Static Map API service issues!

Tutorial Link: https://www.littlemissdata.com/blog/maps…

Continue

Added by Laura Ellis on January 2, 2019 at 2:24pm — No Comments

What is a Generative Adversarial Network?

This article was written by Hunter Heidenreich.

Looking into what a generative adversarial network is to understand how they work.

 

What’s…

Continue

Added by Andrea Manero-Bastin on January 2, 2019 at 9:30am — No Comments

5 Risks must be addressed by businesses and governements (AI can be magic wand for such cases of risk)

Players in ecommerce, entertainment, finance, Internet and social media space drive and influence risk indicators for not just for themselves but for users of Internet and increasingly to larger society as side effects spread to social, political and economic scenarios. Any risks from above domains are dominant and may easily be extrapolated in domains too.

There are five risks that may influence society negatively and turn in to resistance force for adoption of digital…

Continue

Added by Chandra Shekhar on January 1, 2019 at 11:00pm — No Comments

Bringing Big Artificial Intelligence to Life

Data is rampant in the Internet of Things (IoT) Age, during which the exponential growth of data has outpaced the capacity of traditional computing. It has reached maturity in some stages, but it is in adolescence in new stages. With the advent of Big Data, businesses are merging it with big compute and IoT for analytics using Artificial Intelligence (AI). After the raw input from the big data gets cleaned, structured, and unified, AI performs cognitive functions and outputs values for the…

Continue

Added by Ankur Patel on January 1, 2019 at 8:57pm — No Comments

How to Capture Data to Make Business Impact

Every business challenge that is to be solved with a data-driven decision has a data universe behind it. This data universe is the set of data that could be captured that is linked to the business challenge.

A data universe is formed by information and noise: Information is data that can be transformed into knowledge; noise is data from which no…

Continue

Added by Ramon Serrallonga on January 1, 2019 at 6:36am — No Comments

Weekly Digest, December 31

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. To subscribe, follow this link.  

Upcoming DSC Webinars and…

Continue

Added by Vincent Granville on December 30, 2018 at 8:30am — No Comments

Forward and Reverse Containment Logic – Introduction to Relational Data Logistics

The question of how to structure or arrange data in order to gain worthwhile insights is quite different from the issue of what data to include or how it should be analyzed.  I often find myself preoccupied with structure and organization.  In part, this is because of my belief that unique logistics can lead to different types of insights.  Popular these days to the point of gaining industry dominance is holding data as large tables.  If we peer into the code for the application…

Continue

Added by Don Philip Faithful on December 30, 2018 at 6:49am — No Comments

Monthly Archives

2019

2018

2017

2016

2015

2014

2013

2012

2011

1999

Videos

  • Add Videos
  • View All

Follow Us

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service