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Who Do We Blame When an AI Finally Kills Somebody

Summary:  We’re rapidly approaching the point where AI will be so pervasive that it’s inevitable that someone will be injured or killed.  If you thought this was covered by simple product defect warranties it’s not at all that clear.  Here’s what we need to start thinking about.


So far the press…


Added by William Vorhies on December 10, 2018 at 10:07am — 1 Comment

Weekly Digest, December 10

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…


Added by Vincent Granville on December 9, 2018 at 3:30pm — No Comments

System Modeling: Understanding Logical and Physical Architecture

The goal of both logical and physical architecture specifications is to define and document the logical and physical components of a system, respectively, in order to provide clarity around how those component elements relate to one another. The artifacts resulting from either effort could be text documentation, or diagrams, and both have their own advantages and drawbacks.


This is an extract is taken from …


Added by Packt Publishing on December 6, 2018 at 12:47am — No Comments

Top Soft and Technical Skills to Be a Successful Data Scientist

With the introduction of big data, the need for its storage increased gradually. Companies were focussing on building solutions and frameworks to store as much data as possible. When this problem is addressed by big names such as Hadoop, companies shifted their focus on data processing. Here, the popular term that everyone might have heard once is “data science.” Undoubtedly, data science is considered as the future of AI…


Added by Ritesh Patil on December 6, 2018 at 2:00am — No Comments

Deep learning in satellite imagery

In this article, I hope to inspire you to start exploring satellite imagery datasets. Recently, this technology has gained huge momentum, and we are finding that new possibilities arise when we use satellite image analysis. Satellite data changes the game because it allows us to gather new information that is not readily available to businesses.

Why are satellite images a unique data source? What is currently available, and what properties do you have to take into account when…


Added by Michał Frącek on December 6, 2018 at 2:30am — No Comments

Some Irresistible Integrals, Computed Using Statistical Concepts

Updated on Dec 12, 2018. An error was fixed when g(x) is not equal to x, and a new section "Generalization" was added. A link to a large collections of intriguing integrals was added at the bottom, in the "Related Problems" section.

Below are a few integrals that you won't find in textbooks. Solving them is a good exercise for college students with some advanced calculus training. We provide the solution, as well as a general framework to compute many similar integrals. Maybe…


Added by Vincent Granville on December 9, 2018 at 11:00am — 1 Comment

Interpreting Exploratory Data Analysis (EDA)


Exploratory Data Analysis (EDA) is an approach/philosophy for data analysis that employs a variety of techniques (graphical and quantitative) to better understand data. It is easy to get lost in the visualizations of EDA and to also lose track of the purpose of EDA. EDA aims to make the downstream analysis easier.…


Added by ajit jaokar on December 6, 2018 at 5:49am — No Comments

Why I Am Writing At Data Science Central, And Why You Should, Too

My writing engagement at Data Science Central came up unexpectedly. Back in August 2018, I stumbled upon an excellent write-up on Data Science Central. The author, Bill Vorhies, shared his thoughts on career transitioning toward data science. I wrote him an email, complimenting him on his blog post, and I dropped a few lines about my own transition. Here's his response:

"Congratulations on your remarkable journey. Perhaps you’d like to write one or more articles…


Added by Rafael Knuth on December 6, 2018 at 3:35am — 3 Comments

New Books and Resources for DSC Members

We are in the process of writing and adding new material (compact eBooks) exclusively available to our members, and written in simple English, by world leading experts in AI, data science, and machine learning. In the upcoming months, the following will be added:

  • The Machine Learning Coding Book
  • Off-the-beaten-path Statistics and Machine Learning Techniques 
  • Encyclopedia of Statistical Science
  • Original Math, Stat and Probability Problems - with…

Added by Vincent Granville on November 18, 2018 at 9:30am — 2 Comments

2019 Big Data and Data Science Predictions Through the Lens of Comedy Movies

It’s that time of year again when I look into the Crystal Skull…er, ball, and make some predictions of the continuing challenges and new trends I foresee in Big Data and Data Science for the coming year.

It’s Data “Business Model” Transformation, not Digitalization

Digital Transformation moves beyond just…


Added by Bill Schmarzo on December 5, 2018 at 8:43am — No Comments

Inverted yield curve followed by 800-point plunge in Dow next day; how about inverted CDS curves?

On 3 Dec 2018 when the US treasury yield curves inverted (a short-term US government bond yield is higher than its long-term yield), Economists quickly warned the stock market of an impending economic slowdown or even a recession. The following…


Added by Zhongmin Luo on December 5, 2018 at 1:00am — No Comments

ML Methods for Prediction and Personalization


Recommender systems use algorithms to provide users with product or service recommendations. Recently, these systems have been using machine learning algorithms from the field of artificial intelligence. An increasing number of online companies are utilizing recommendation systems to increase user interaction and enrich shopping potential. Use cases of recommendation systems have been expanding rapidly. They across many aspects of…


Added by Divya Singh on November 20, 2018 at 8:30pm — No Comments

5 Minute Analysis: Underutilized Kaggle Data

In this 5 Minute Analysis we'll focus on exploring the collection of Kaggle datasets data in real-time, reorganizing it, and filtering the data to find popular datasets with many downloads but very few kernels.



Added by Benjamin Waxer on November 8, 2018 at 9:00am — No Comments

Speedup your Machine Learning applications without changing your code

Emerging cloud applications like machine learning, AI and big data analytics require high performance computing systems that can sustain the increased amount of data processing without consuming excessive power. Towards this end, many cloud operators have started adopting heterogeneous infrastructures deploying hardware accelerators, like FPGAs, to increase the performance of computational intensive tasks. However, most hardware accelerators lack…


Added by Chris Kachris on November 6, 2018 at 7:00am — No Comments

Big Data: Visualization Tools to Help Harness the Power of Big Data

Big data is all the rage, but simply collecting it won't help much. These data visualization tools help you make sense of it all.

The rise of big data has ushered in the era of data-driven decision-making.

Vast volumes of data constantly flowing in from multiple sources contain valuable insights that can lead to better business decisions and competitive advantage. The challenge for businesses is to spend less time setting up, collecting, and organizing data, and…


Added by Justin Runyon on November 23, 2018 at 12:30am — No Comments

How To Become A Successful R Programmer?

R is a software programming language developed in 1993.  In New Zealand, two professors of Auckland University Ross Ihaka and Robert Gentleman first conceived R. The most stable beta version of R was made in 2000. Here ‘R’ holds an extensive catalog produced of statistics and graphics methods. These methods include a machine learning algorithm, time series, linear regression, statistical inferences and many more.…


Added by Raghavarao on November 26, 2018 at 8:30pm — No Comments

Data Enrichment: More Data is Often the Easiest Way

When it comes to Data Science, the most recurring topic is modeling. Quite a few articles out there talk about data preparation and only a bunch about how to communicate your results properly. However, there are hardly any dealing with the topic that we are going to cover today: data enrichment.

In our experience with helping companies to start using their data…


Added by Juraj Kapasny on December 3, 2018 at 1:30am — No Comments

Relationships, Geometry, and Artificial Intelligence

By Gunnar Carlsson

December 3, 2018

In their very provocative paperPeter Battaglia and his colleagues, posit that in order for artificial intelligence (AI) to achieve the capabilities of human intelligence, it must be…


Added by Jonathan Symonds on December 4, 2018 at 3:00pm — No Comments

Can AI Make B2B Sales Better?

Summary: Sales is supposed to be an area that is more immune to replacement by AI than many others because of the high level of impromptu and improvisational human contact required.  That remains true.  But AI is showing that it can be a valuable augment to B2B sales and some early adopters are scoring big gains.



Added by William Vorhies on December 4, 2018 at 9:59am — No Comments

Is Model Bias a Threat to Equal and Fair Treatment? Maybe, Maybe Not.

Summary:  There is a great hue and cry about the danger of bias in our predictive models when applied to high significance events like who gets a loan, insurance, a good school assignment, or bail.  It’s not as simple as it seems and here we try to take a more nuanced look.  The result is not as threatening as many headlines make it seem.



Added by William Vorhies on June 5, 2018 at 8:00am — No Comments

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