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February 2018 Blog Posts (98)

Cool Video: An Unexpected Use of AI and IoT to Enjoy Music

Back to the heydays of Youtube, when it was all about amateur videos. Here, with a modern twist: A guy (me) dancing while listening to music produced by the Alexa show. You can choose the music you want, skip songs you don't like, increase volume, and so on: Just ask the Alexa robot.

This is an untouched, raw video - no rehearsal of anything. An example of what IoT (Internet of Things) is.…


Added by Vincent Granville on February 18, 2018 at 4:30pm — No Comments

Weekly Digest, February 19

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.



Added by Vincent Granville on February 18, 2018 at 9:30am — No Comments

Book: The Master Algorithm

Full title: The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World – February 13, 2018.

About the Author…


Added by Capri Granville on February 16, 2018 at 7:00pm — No Comments

Book: Blockchain Basics

In 25 concise steps, you will learn the basics of blockchain technology. No mathematical formulas, program code, or computer science jargon are used. No previous knowledge in computer science, mathematics, programming, or cryptography is required. Terminology is explained through pictures, analogies, and metaphors.

This book bridges the gap that exists between purely technical books about the blockchain and purely business-focused books. It does so by explaining both the technical…


Added by Capri Granville on February 16, 2018 at 7:00pm — No Comments

Simple questions to measure the ability of a data scientist

Sometimes a recruiter will find difficult to know the skills of a data science before hiring. Here are some simple questions to measure the ability of a data…


Added by Jeefri A. Moka on February 15, 2018 at 8:30pm — No Comments

Thursday News: GIS, AI, Python, Deep Forests, Supervised Learning, Image Analysis, Correlation, and More

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

Resources and Technical


Added by Vincent Granville on February 15, 2018 at 10:30am — No Comments

Your Journey to Data Science Maturity (by Kirk Borne)

Great, short visual summary produced by Kirk Borne. Highlights:

  • Computational
  • Ask the right questions
  • Design thinker
  • Willingness to fail
  • Participate in competitions
  • Team sport
  • Data storyteller
  • Consulting…

Added by Capri Granville on February 15, 2018 at 9:00am — No Comments

A Guide to AWS

Even those new to IT have probably heard that everyone is “moving to the cloud.” This transition from standard infrastructure is thanks in large part to Amazon Web Services.

Currently, AWS offers “over 90 fully featured services for computing, storage, networking, analytics, application services, deployment, identity and access management, directory services, security. All…


Added by Jayesh Bapu Ahire on February 15, 2018 at 1:00am — No Comments

What’s Better to Learn First: Spark Vs Hadoop?

Spark VS Hadoop

Spark and Hadoop are two different frameworks, which have similarities and differences. Also, both of them have their unique pros and cons. So, which one is better; Spark or Handoop? There is no exact answer, because, these platforms are different for comparison, and everyone may find some new and useful features in both of them. So let’s start from history of developing of these two.

Spark and Hadoop are…

Added by Azharuddin on February 14, 2018 at 10:30pm — No Comments

AI: Robots Helping Each Other (Nice Video)

Interesting video by Boston Dynamics about robots helping each other to open a door. Maybe next time it will be about robots fighting against each other. Think about two armies at war against each other, with each soldier (a robot) collaborating with his team to fight the enemy (consisting of robots as well.) You could make a movie out of it!

A more peaceful example of applications is driver-less cars. These cars could cooperate together to optimize everyone's commute, unlike human…


Added by Capri Granville on February 14, 2018 at 4:30pm — No Comments

Cloud Data Science with Azure Machine Learning

Dаtа ѕсіеnсе, аlѕо knоwn аѕ dаtа-drіvеn ѕсіеnсе, іѕ аn іntеrdіѕсірlіnаrу fіеld оf ѕсіеntіfіс mеthоdѕ, рrосеѕѕеѕ, аnd ѕуѕtеmѕ tо еxtrасt knоwlеdgе оr іnѕіghtѕ frоm dаtа іn vаrіоuѕ fоrmѕ, ѕtruсturеd оr unѕtruсturеd, ѕіmіlаr tо dаtа mіnіng.

Dаtа ѕсіеnсе іѕ a "соnсерt tо unіfу ѕtаtіѕtісѕ, dаtа аnаlуѕіѕ аnd thеіr rеlаtеd mеthоdѕ" іn оrdеr tо "undеrѕtаnd аnd аnаlуzе асtuаl рhеnоmеnа" wіth dаtа. It еmрlоуѕ tесhnіԛuеѕ аnd thеоrіеѕ drаwn frоm mаnу fіеldѕ wіthіn thе brоаd аrеаѕ оf…


Added by VAMSI NELLUTLA on February 14, 2018 at 5:24am — No Comments

Time Series Analysis and Forecasting: Novel Business Perspectives

Time series forecasting is hardly a new problem in data science and statistics. The term is self-explanatory and has been on business analysts’ agenda for decades now: The very first practices of time series analysis and forecasting trace back to the early 1920s.

The underlying idea of time series forecasting is to look at historical data from the time perspective, define the patterns, and yield short or long-term predictions on how –  considering the captured patterns – target…


Added by Olexander Kolisnykov on February 14, 2018 at 1:58am — No Comments

Image Colorization Using Optimization in Python

This article is inspired by this SIGGRAPH paper by Levin et. al, for which they took this patent , the paper was referred to in the course CS1114 from Cornell.  This method is also discussed in the coursera online image processing course by NorthWestern University. Some part of the problem description is taken from the paper itself. Also, one can refer to the implementation provided by the authors in matlab, the following …


Added by Sandipan Dey on February 13, 2018 at 1:00pm — No Comments

Five Misconceptions about Data Science - Knowing What You Don't Know


Getting Your Head Around Data Science

Data science has made its way into practically all facets of society – from retail and marketing, to travel and hospitality, to finance and insurance, to sports and entertainment, to defense, homeland security, cyber, and beyond. It is clear that data science has successfully sold its claim of "actionable insights from…


Added by Sean P. McKenna on February 13, 2018 at 12:00pm — 1 Comment

Interactive Image Segmentation with Graph-Cut in Python

In this article, interactive image segmentation with graph-cut is going to be discussed. and it will be used to segment the source object from the background in an image. This segmentation technique was proposed by Boycov and Jolli in this paper

Problem Statement: Interactive graph-cut segmentation

Let’s implement…


Added by Sandipan Dey on February 13, 2018 at 10:30am — No 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…


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

How State Governments Can Protect and Win with Big Data, AI and Privacy

I was recently asked to conduct a 2-hour workshop for the State of California Senior Legislators on the topic of “Big Data, Artificial Intelligence and Privacy.” Honored by the privilege of offering my perspective on these critical topics, I shared with my home-state legislators how significant opportunities await the state. I reviewed the once-in-a-generation opportunities awaiting the great State of California (“the State”), where decision makers could vastly…


Added by Bill Schmarzo on February 13, 2018 at 5:30am — No Comments

Selected Recent Articles from Top DSC Contributors - Part 5

This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented and written in simple English. The entire series consists of about 120 articles. We intend to publish a new set every two weeks or so. Click here to check out the…


Added by Vincent Granville on February 12, 2018 at 7:30pm — No Comments

Changes in Job Counts by Education Grouping, 1992-2017

Data from the Bureau of Labor Statistics (BLS) starkly shows how the U.S. job market changed from 1992-2017. During that period, the number of jobs held by those with a HS education or less declined by over 3.5M, while the number for those with some college, a college degree, or advanced degree increased by 39.5M. The following R/ggplot of jobs by month…


Added by steve miller on February 12, 2018 at 5:30pm — No Comments

Off the Beaten path – Using Deep Forests to Outperform CNNs and RNNs

Summary:  How about a deep learning technique based on decision trees that outperforms CNNs and RNNs, runs on your ordinary desktop, and trains with relatively small datasets.  This could be a major disruptor for AI.


Suppose I told you that there is an algorithm that regularly beats the performance of CNNs and RNNs at image…


Added by William Vorhies on February 12, 2018 at 5:00pm — 4 Comments

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