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.

• A Language for Visual Analytics - DSC Webinar, July 25…

Learn how big data and other sources of information can be transformed into valuable knowledge - knowledge that can create incredible competitive advantage to propel a business toward market leadership. 

Learn through examples and experience exactly how to pick projects and build analytics teams that deliver results. Know the…

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

• The misapprehension of the data science use-case 
• Neural Networks as a Corporation Chain of Command …

Summary:  The drive toward transparency and explainability in our modeling seems unstoppable.  Up to now that meant sacrificing accuracy for interpretability.  However, the ensemble method known as RuleFit may be the answer with both explainability and accuracy meeting or exceeding Random Forest.

If you’re like me and not doing modeling in a highly regulated industry like mortgage finance or insurance then when you produce a model, you are…

The following links describe a set of free SAS tutorials which help you to learn SAS programming online on your own. It includes tutorials for data exploration and manipulation, predictive modeling and some scenario based examples.

SAS (Statistical analysis system) is one of the most popular software for data analysis. It is widely used for various purposes such as data management, data mining, report writing, statistical analysis, business modeling, applications development and data…

This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back. 

13 Great Blogs Posted in the last 12…

I attended the Huawei European Innovation Day recently, and was enthralled by how the new technology is giving rise to industrial revolutions. These revolutions are what will eventually unlock the development potential around the world. It is important to leverage the emerging technologies, since they are the resources which will lead us to innovation and progress. Huawei is…

Market Highlights

On the basis of regional analysis, the market is segmented into North America, Europe, Asia-Pacific and Rest of the World. North America region is generating highest market share in Core Banking Solutions Market owing to higher technology implementation. The implementation of core banking solution software by both small and medium enterprises is increasing rapidly. In US region, the implementation of core banking solution software in BFSI sector accounted for…

There is a set of techniques covering all aspects of machine learning (the statistical engine behind data science) that does not use any mathematics or statistical theory beyond high school level. So when you hear that some serious mathematical knowledge is required to become a data scientist, this should be taken with a grain of salt.…

Neural networks are considered complicated and they are always explained using neurons and a brain function. But we do not need to learn how to brain works to understand Neural networks structure and how they operate. We can look as something people encounter in everyday life more often, like a corporation hierarchy.…

This article comes from Toodarkpark. Below is an extract, covering a few of the programming languages listed in the original article.

The proliferation of modern programming languages (all of which seem to have stolen countless features from each other) sometimes makes it difficult to remember which language you're using. This guide is offered as a public service to help programmers in such dilemmas.…

A Practical Implementation Guide to Predictive Data Analytics Using Python

• Covers basic to advanced topics in an easy step-oriented manner
• Concise on theory, strong focus on practical and hands-on approach
• Explores advanced topics, such as Hyper-parameter tuning, deep natural language processing, neural network and deep learning
• Describes state-of-art best practices for model tuning for better model accuracy

About The Book:…

“We want to predict -X-.” Fill in any desirable topic on the location of the X and you have the formulation of a use-case in the way many companies today think about analytics use-cases. In order of increasing probability of success of such use-cases: X equals the winning lottery number, the future price of crude oil, windows falling from high-rise buildings (not kidding; actual use-case) and finally, a customer buying a mortgage.

This post deals with…

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.

Announcement

• The …

In the first post in this series on Artificial Intelligence: Monster or Mentor? we saw that there are several key ways in which AI advances can improve human productivity in organizations. In this article, we’ll look at the first: Distillation.

Distillation is applying AI approaches to automate making large data volumes interpretable. Just like miners distill tons of…

Support for the development and promotion of Artificial Intelligence is born from the deepest roots of state power in China that defined, for the new qualitative leap of that society, Innovation as its axis and Science and Technology as its sustenance.

Li Keqiang, the Prime Minister, summed it up by stating that "science and technology change the world, innovation forms the future".

The AI is expressly included. Xi Jinping, the President of China, described it this way:…