October 2018 Blog Posts (89)

New Book: Enterprise AI - An Applications Perspective

Now published. Enterprise AI: An applications perspective takes a use case driven approach to understand the deployment of AI in the Enterprise. Designed for strategists and developers, the book provides a practical and straightforward roadmap based on application use cases for AI in Enterprises. The authors (Ajit Jaokar and Cheuk Ting Ho) are data scientists and AI researchers who have deployed AI applications for Enterprise domains. The book is used as a reference for Ajit and Cheuk's new…


Added by Vincent Granville on October 31, 2018 at 12:30pm — 2 Comments

Clustering – Algorithms for Partitioning and Assignments

K-means algorithm is a popular and efficient approach for clustering and classification of data. My first introduction to K-means algorithm was when I was conducting research on image compression. In this applications, the purpose of clustering was to provide the ability to represent a group of objects or vectors by only one object/vector with an acceptable loss of information. More specifically, a clustering process in which the centroid of the cluster was optimum for the cluster and the…


Added by Faramarz Azadegan on October 31, 2018 at 7:06am — No Comments

An Overview Of The Steps Required For A Successful System Integration

Systems integration is an increasingly utilized process that companies are realising the value of within their business. The process involves taking disparate systems are making them all work together as a whole.

Take, for instance, if your company has a sales arm. All the sales contact data will lie within a CRM, let’s say Salesforce - since it’s the major player in the CRM game. What if you wanted to grab all…


Added by Graham Church on October 31, 2018 at 4:36am — No Comments

Evaluation and comparison of open source software suites for data mining and knowledge discovery

An article by A.H.Abdulrahman, J. M. Luna, 2 M. A. Vallejo 3 and S. Ventura with the title "Evaluation and comparison of open source software suites for data mining and knowledge discovery" (published by Wiley "Data Mining and Knowledge Discovery, Vol 7 Issue 3 2017 see this link) provides the research community with an extensive study on different features included in any data mining tool. The final score for…


Added by jwork.ORG on October 30, 2018 at 3:18pm — No Comments

25 Statistical Concepts Explained in Simple English - Part 2

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


Added by Vincent Granville on October 30, 2018 at 10:00am — 1 Comment

POTUS and the Stock Market

For those who follow the stock market, October's been a pretty rough month, with overall market levels, as measured by major indexes such as the Russell 3000 and the Wilshire 5000, now down into correction territory of 10 percent declines. The falls, unfortunately, closely follow a …


Added by steve miller on October 30, 2018 at 8:35am — No Comments

Digital Decisioning Platforms – A New Way to Slice the Pie

Summary:  Digital Decisioning Platforms is a new segment identified by Forrester that marries Business Process Automation, Business Rules Management, and Advanced Analytics.  For platform developers it’s a new way to slice the market.  For users it eases integration of predictive models into the production environment.




Added by William Vorhies on October 30, 2018 at 8:30am — No Comments

Sentiment Analysis: Types, Tools, and Use Cases

What do you do before purchasing something that costs more than a pack of gum? Whether you want to treat yourself to new sneakers, a laptop, or an overseas tour, processing an order without checking out similar products or offers and reading reviews doesn’t make much sense anymore. Thanks to comment sections on eCommerce sites, social nets, review platforms, or dedicated forums, you can learn a ton about a product or service and evaluate whether it’s a good value for money. Other customers,…


Added by Kateryna Lytvynova on October 30, 2018 at 12:45am — No Comments

Cool Problems in Probabilistic Number Theory and Set Theory

Here are a few off-the-beaten-path problems at the intersection of computer science (algorithms), probability, statistical science, set theory, and number theory. While they can easily be understood by beginners, finding a full solution to some of them is not easy, and some of the simple but deep questions below won't be answered for a long time, if ever, even by the best mathematicians living today. In some sense, this is the opposite of classroom exercises, as there is no sure path that…


Added by Vincent Granville on October 29, 2018 at 6:00pm — 5 Comments

An Overview of Business Problems and Data Science Solutions — Part 2

Data Mining

There is an important distinction related to data mining. First the difference between mining the data to find patterns and build models, and second using the results of data mining. Data Mining results inform the data mining process itself.

The CRISP data mining process

Cross-industry standard process…


Added by Mehmet Gökce on October 29, 2018 at 9:13am — 1 Comment

How to be an Artificial Intelligence (AI) Expert?


Artificial Intelligence is growing at a rapid pace in the last decade. You have seen it all unfold before your eyes. From self-driving cars to Google Brain, artificial intelligence has been at the centre of these amazing huge-impact projects.

Artificial Intelligence (AI) made headlines recently when people started reporting that Alexa was laughing unexpectedly. Those news reports led to the usual…


Added by Divya Singh on October 29, 2018 at 7:30am — 1 Comment

Big Data as a Service, get easily running a Cloudera Quickstart Image with Dockers in GCP

It’s not a secret that containers technology (popularly known as dockers) is becoming one of the top choices in software projects [1], but What about data projects/clusters? Many companies and projects have intentions to take advantages of it. Some examples are Cloudera [2] and the apache-spark-on-k8s project [3], personally, I suggest if you want more information as what exactly is called “Big Data as a Service” to check the last Strata Data…


Added by Antonio Cachuan on October 28, 2018 at 4:59pm — No Comments

Weekly Digest, October 29

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.

Featured Resources and Technical Contributions 


Added by Vincent Granville on October 28, 2018 at 9:00am — No Comments

Challenge of Confirming Program Efficacy

Something that has always troubled me with statistics is the pretense of certainty.  The conclusions – being closely associated with calculations – tend to be reached rapidly.  I might only be starting to give a problem some thought – although a statistician has already drawn conclusions.  Over time, this can make a person feel insecure about his intellectual capacity – and perhaps cause him to write a blog on the subject.  Consider the simulated data below:  a special program was…


Added by Don Philip Faithful on October 28, 2018 at 8:05am — No Comments

Top 25 Mistakes Corporates Make in their Advanced Analytics Program

Raise your hand if your company is making more than 15!


1. Day-dreaming that analytics is a plug & play magic wand that will bring very short term ROI. Well executed basic excel models might have brought quick wins in the…


Added by Pedro URIA RECIO on October 27, 2018 at 8:01pm — No Comments

One Trillion Random Digits

You will find here a few tables of random digits, used for simulation purposes and/or testing or integration in statistical, mathematical, and machine learning algorithms. These tables are particularly useful if you want to share your algorithms or simulations, and make them replicable. We also provide techniques to use in applications where secrecy is critical, such as cryptography, bitcoin or lotteries: in this case, you don't want to share your table of random numbers; to the contrary you…


Added by Vincent Granville on October 27, 2018 at 9:00am — No Comments

Essential Math for Data Science

This article was written by Tirthajyoti Sarkar. Below is a summary. The full article (accessible from link at the bottom) also features courses that you could attend to learn the topics listed below, as well as numerous comments. We also added a few topics that we think are important and missing in the original article.…


Added by Andrea Manero-Bastin on October 26, 2018 at 5:00pm — No Comments

Why Organisations Nowadays Want an Analytics Platform

With the nascent stage of the data revolution past us, organisations are entering a new level of proficiency in handling data expertly. Gone are the days when organisations…


Added by Ronald van Loon on October 26, 2018 at 3:35am — No Comments

5 Minute Analysis: Olympics, Rising Competition and Equality


Added by Benjamin Waxer on October 26, 2018 at 2:00am — No Comments

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