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Featured Blog Posts – March 2018 Archive (77)

18 Great Articles About Predictive Analytics

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,…


Added by Vincent Granville on March 13, 2018 at 5:30pm — No Comments

Neural network classification of data using Smile

Data classification is the central data-mining technique used for sorting data, understanding of data and for performing outcome predictions. In this small blog we will use a library Smilecthat includes many methods for supervising and non-supervising data classification…


Added by jwork.ORG on March 13, 2018 at 4:00pm — No Comments

College Hoops Conference Rankings

It's that time of the year again -- the start of March Madness, 2018. Last Sunday, the selection show announced the 68 teams, and the preliminary round games start tonight. Of the 68 schools, 32 were automatically selected as conference champions, while the remaining 36 received at large bids.

What determines what 36 teams are chosen for at large…


Added by steve miller on March 13, 2018 at 8:30am — No Comments

Machine Learning Explained: Understanding Supervised, Unsupervised & Reinforcement Learning

Machine Learning is guiding Artificial Intelligence capabilities.

Image Classification, Recommendation Systems, and AI in Gaming, are popular uses of Machine Learning capabilities in our everyday lives. If we breakdown machine learning further, we find that these 3 Machine Learning examples are powered by different types of…


Added by Ronald van Loon on March 13, 2018 at 7:30am — No Comments

5 Questions To Prepare You For Your Next Data Science Interview

Sat across from the interviewer for your dream job, you may start to feel the pressure. A sure-fire way to quash the interview jitters is to prepare as much as possible. Typically, you can segment the types of questions you’ll get asked in a data science interview; things such as statistics, programming and technical ability, business acumen, and culture fit assessment. Studying up on these will help you prepare as best you can. 


Here are some examples of what you…


Added by Matt Reaney on March 13, 2018 at 4:30am — No Comments

GDPR: an Opportunity to drive Customer Experience & Create Digital Trust

With consumer data privacy becoming a top priority in the current age, regulating authorities have jumped into the conundrum to ensure that users get the privacy they need for their personal data. One such regulatory authority that has come into the mix…


Added by Ronald van Loon on March 13, 2018 at 12:30am — 2 Comments

Selected Recent Articles from Top DSC Contributors - Part 7

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 March 12, 2018 at 6:32pm — No Comments

Strata – What a Difference a Year Makes

Summary:  Some observations about new major trends and directions in data science drawn from the Strata Data conference in San Jose last week.


I’m just back from my annual field trip to the Strata Data conference in San Jose last week.  Strata is on tour with four more stops before repeating next year.  The New York show is…


Added by William Vorhies on March 12, 2018 at 4:48pm — 1 Comment

Cluster.OBeu v1.2.1 release on CRAN

Cluster.OBeu v1.2.1 release on CRAN

We are very pleased to announce Cluster.OBeu v1.2.1 on CRAN!

Cluster.OBeu is used on data mininig tool platform with OpenCPU integration of R and JavaScript to estimate and return the necessary parameters for cluster…


Added by Kleanthis Koupidis on March 12, 2018 at 4:00am — No Comments

Autonomous Driving – Car detection with YOLO Model with Keras in Python

In this article, object detection using the very powerful YOLO model will be described, particularly in the context of car detection for autonomous driving. This problem appeared as an assignment in the coursera course Convolution Networks which is a part of the Deep Learning Specialization (taught by Prof. Andrew Ng.,  from Stanford…


Added by Sandipan Dey on March 11, 2018 at 11:30pm — 3 Comments

Artificial Neural Networks: Part1

Last week, I gave a one-hour seminar covering one of the machine learning tools which I have used extensively in my research: neural networks. Preparation of the seminar was very useful for me since it required me to make sure that I really understood how the networks function, and I (think I) finally got my head around back-propagation — more on that later. In this post,…


Added by Jayesh Bapu Ahire on March 10, 2018 at 10:00pm — No Comments

Weekly Digest, March 12

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 March 10, 2018 at 9:00am — No Comments

Big Data and Machine Learning (Google case)

The database is like a library building ... every book (information) that enters must be properly placed (processed systematically), when a number of books come then the officer should be recorded like a book code, ISBN, publisher, author, book title, and others. If a bookcase is full then it must increase the amount, if one floor is full of bookcases then it should increase the number of floors, if one building is full of bookcases then it should increase the number of buildings.



Added by Jeefri A. Moka on March 9, 2018 at 9:30pm — No Comments

Reading List for Data Scientists

Here are some recommended books for data science practitioners, covering machine learning, deep learning, business intelligence, forecasting, text analytics and much more.

Book Repository for Data Scientists


Added by Vincent Granville on March 9, 2018 at 4:00pm — No Comments

Significance of p-value

P – Value

In this blog we will discuss the important functionality of p – value in statistical experiments. Why p – value is the deciding factor for accepting or rejecting a hypothesis we develop before any experiment.

Problem Statement:

You have launched a product (e.g. a phone) in the market. And you get customer feedback that the phone has over heating problem. As the phone is already launched in the market…


Added by Amlan Kumar Pradhan on March 9, 2018 at 3:30am — 5 Comments

Difference Between Correlation and Regression in Statistics

correlation vs regression

Correlation and Regression are the two analysis based on multivariate distribution. A multivariate distribution is described as a distribution of multiple variables. Correlation is described as the analysis which lets us know the association or the absence of the relationship between two variables ‘x’ and ‘y’. On the other end, Regression…


Added by Asim Jana on March 8, 2018 at 3:30pm — 3 Comments

Modern Approaches for Sales Predictive Analytics

Sales prediction is an important part of modern business intelligence.  First approaches one can apply to predict sales time series are such conventional methods of forecasting as ARIMA and  Holt-Winters. But there are several challenges while using these methods. They are: multilevel daily/weekly/monthly/yearly seasonality,  many exogenous  factors which impact sales, complex trends in different time periods. In such cases, it is not easy to apply conventional methods. Of course, there is…


Added by Bohdan Pavlyshenko on March 8, 2018 at 9:00am — 2 Comments

Data Scientists 4.0

Data Scientists 4.0

The 4th Industrial Revolution was publicly announced in 2011 at the Hannover Fair (1). Since then, many resources have been appeared around the so called Industry 4.0. Elements such as the Digital Twins, Industrial Internet of Things or Cyber Physical Systems have came into the scene as unseparated…


Added by Toni Manzano on March 8, 2018 at 8:00am — No Comments

5 Myths About PhD Data Scientists

Myth #1: You can only do research in an academic setting. Not true. There are plenty of research labs owned by big and small companies and organizations, including government, as well as abroad. In my case, I own and manage my self-funded research lab, publishing in my own niche media outlets (see …


Added by Vincent Granville on March 8, 2018 at 8:00am — 4 Comments

Interesting Application of the Zipf Distribution: Data Purging

The Zipf distribution is used to model situations in which a few observations have a very high value (or impact) and account for a large part of the total, while a very long tail of observations have medium, small, or very small values. A bit like …


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

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