Featured Blog Posts – February 2019 Archive (76)

Online Ad selection: Upper Confidence Bound method and Thompson Sampling method

The post is devoted to select the most popular ad to display on a webpage to gather the most clicks. The rate at which the webpage visitors click on an ad is called a conversion rate for the add.

Assume that we have several ads and a place on a webpage to show one of them. We can display them one by one, record all the clicks, analyse the results afterwards and figure the most popular. But an ad display may be pricey. It would be more efficient to estimate rates in real time and to…


Added by Maiia Bakhova on February 28, 2019 at 10:00am — No Comments

How to Choose the Right Chart Type [Infographic]

The chart is a visual representation of data in a clear and simple manner. This type of visualization is often used to increase the level of comprehension, especially in cases of patterns, trends, and interconnections. Building chart is an integral part of data analysis. It helps to decide how to analyze data, how it is…


Added by Igor Bobriakov on February 28, 2019 at 5:22am — No Comments

Machine Learning, Deep Learning, and AI Terminology for the Layman

Here is one of the most viral videos about data science posted in the last few months, with over 500,000 views. I could not locate the original copy; I found it in a re-tweet by Kirk Borne. See link to the video below the picture. However, I was able to find who created it (Welcome.ai) and it turns out that they have a YouTube channel with plenty of even more interesting videos. To search these videos by keyword, click…


Added by Capri Granville on February 27, 2019 at 3:30pm — No Comments

GKS and Data Visualization In Data Science

The Graphical Kernel System (GKS) is a document produced by the International Standards Organization (ISO) which defines a common interface to interactive computer graphics for application programs. GKS has been designed by a group of experts representing the national standards institutions of most major industrialized countries. The full…


Added by Ajit Singh on February 27, 2019 at 10:42am — No Comments

How To Use Artificial Intelligence In Blockchain Technology

Artificial intelligence has been fascinating to the human imagination since the term was first used by the first science fiction writers.

The roots of the concept of "artificial intelligence" must be sought deep in the ancient world, where folklore, legends and myths in almost every culture spoke of artificially created creatures endowed with supernatural intelligence, consciousness or other human qualities. The only factor uniting the myths of the whole world is that artificial…


Added by Melissa Crooks on February 27, 2019 at 12:42am — No Comments

New Data Science Cheat Sheet, by Maverick Lin

Below is an extract of a 10-page cheat sheet about data science, compiled by Maverick Lin. This cheatsheet is currently a reference in data science that covers basic concepts in probability, statistics, statistical learning, machine learning, deep learning, big data frameworks and SQL. The cheatsheet is loosely based off of The Data Science Design Manual by Steven S. Skiena and An Introduction to Statistical Learning by…


Added by Capri Granville on February 26, 2019 at 7:30pm — 2 Comments

The Role of Artificial Intelligence in Manufacturing: 15 High Impact AI Use Cases

According to the World Economic Forum, the global manufacturing sector could be one of the sectors most influenced by the latest technological trends like AI, machine learning and IoT - collectively termed Industry 4.0 - with great potential for disruption and transformation if these technologies are employed intelligently.

While AI has proven to be one of the most broadly disruptive technologies of the digital revolution, it best maximizes its potential when deployed in conjunction…


Added by Mahesh Kumar CV on February 25, 2019 at 10:30am — No Comments

Where and How is AI Actually Being Adopted

Summary:  Adoption of AI/ML by larger companies has more than doubled since last year according to these survey results from McKinsey and Stanford’s Human-Centered AI Institute.  This new data gives us a much better idea of which global regions and which industries are adopting which AI/ML techniques.


We know…


Added by William Vorhies on February 25, 2019 at 9:00am — No Comments

Weekly Digest, February 25

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 February 24, 2019 at 8:30am — No Comments

Can you be a Data Scientist without coding?

Whether you can call yourself a data scientist if you can't code is as hotly debated as Brexit. Type the question "Can you be a Data Scientist without coding?" into Google and you'll get a hundred different answers. The opinion will vary wildly depending on whether the author is a coder, or a non-coder. Search the job listings, and you won't find a definitive answer there either. A Glassdoor survey on the …


Added by Stephanie Glen on February 23, 2019 at 10:30am — 3 Comments

New Perspectives on Statistical Distributions and Deep Learning

In this data science article, emphasis is on science, not just on data. State-of-the art material is presented in simple English, from multiple perspectives: applications, theoretical research asking more questions than it answers, scientific computing, machine learning, and algorithms. I attempt here to lay the foundations of a new statistical technology, hoping that it will plant the seeds for further research on a topic with a broad range of potential applications. It is based on…


Added by Vincent Granville on February 22, 2019 at 9:30am — 2 Comments

19 Great Articles About Natural Language Processing (NLP)

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, AI and many more. To keep receiving these articles, …


Added by Vincent Granville on February 21, 2019 at 5:30pm — 3 Comments

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…


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

Data Anonymisation Software – Differences Between Static and Interactive Anonymisation

Which company would not like to get significantly improved insights into the market with detailed data and thus optimize its products and services? In most cases, the corresponding data is already available, but its use is often restricted for data protection reasons.

This article first appeared on the Aircloak Blog - feel free to pay us a visit!…


Added by Nicolas Sartor on February 21, 2019 at 1:00am — No Comments

Invitation to Join Data Science Central

Over 1,000,000 machine learning, AI, analytics and data science practitioners use our resources. Access high quality, relevant and proprietary content found nowhere else. Find solutions to your problems, or learn how to transition to a career in data science.…


Added by Vincent Granville on February 20, 2019 at 5:00pm — 2 Comments

Top 7 Data Science Use Cases in Travel

Data science has brought new marvelous opportunities to many industries. Along with these possibilities it has also brought constant changes and challenges. Travel and tourism industry is no exception here.…


Added by Igor Bobriakov on February 20, 2019 at 6:17am — No Comments

How Big Data and Education Can Work Together to Help Students Thrive

According to technology experts that would have increased from 130 to 40000 exabytes ten and a half years before 2020. Some research writers have estimated that society will produce 1.7 megabytes of data every day for each individual on the planet increasing today's digital universe from 4.4 to 44 zettabytes

A lot of institutions and organisations…


Added by Debra White on February 20, 2019 at 1:00am — 2 Comments

Python machine learning libraries


This blog is a part of the learn machine learning coding basics in a weekend . We recommend the book Python Data Science Handbook by Jake…


Added by ajit jaokar on February 19, 2019 at 1:30pm — No Comments

Tutorial: Statistical Tests of Hypothesis

This article is a solid introduction to statistical testing, for beginners, as well as a reference for practitioners. It includes numerous examples as well as illustrations and definitions for concepts such as rejecting the null hypothesis, one sample hypothesis testing, P-values, critical values, and Bayesian hypothesis testing. It has references to additional topics, such as 

  • What is Ad Hoc Testing?
  • What is a Rejection Region?
  • What is a Two Tailed…

Added by Capri Granville on February 19, 2019 at 9:30am — No Comments

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