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.
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Added by Vincent Granville on June 30, 2017 at 10:30am —
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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…
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Added by Vincent Granville on June 30, 2017 at 8:34am —
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Here is our selection of featured articles and resources posted since Monday:
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Added by Vincent Granville on June 29, 2017 at 8:00am —
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Few months ago, I wrote an article about the influencers in big data. The article resonated with many and almost all appreciated it. But that’s not the point. Soon after that, I read an article about the abysmal percentage of women in technology especially in the higher echelons. One report mentioned it to be…
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Added by Ramesh Dontha on June 28, 2017 at 2:00pm —
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This paper was written by Bojan Ploj. Bojan is interested in machine learning, specialy in MLP learning algorithms. …
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Added by Emmanuelle Rieuf on June 27, 2017 at 5:00pm —
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Sometimes I write a blog just to formulate and organize a point of view, and I think it’s time that I pull together the bounty of excellent information about Machine Learning. This is a topic with which business leaders must become comfortable, especially tomorrow’s business leaders (tip for my next semester University of San Francisco business students!). Machine learning is a key capability that will help organizations drive optimization and monetization…
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Added by Bill Schmarzo on June 27, 2017 at 12:30pm —
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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…
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Added by William Vorhies on June 27, 2017 at 10:02am —
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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…
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Added by Deepanshu Bhalla on June 27, 2017 at 9:00am —
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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…
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Added by Vincent Granville on June 27, 2017 at 8:00am —
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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…
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Added by Ronald van Loon on June 27, 2017 at 12:30am —
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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…
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Added by Sagar kadam on June 26, 2017 at 11:30pm —
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Digital Transformation has brought in all the new concepts and technologies at the hands of consumers and businesses alike. Digital Twin is one of them. It is a virtual image of your machine or asset, maintained throughout thelife cycle and easily accessible at any time. It involves internet of things connected…
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Added by Sandeep Raut on June 26, 2017 at 8:30pm —
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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.…

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Added by Vincent Granville on June 26, 2017 at 12:30pm —
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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.…
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Added by Maiia Bakhova on June 26, 2017 at 10:00am —
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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.…
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Added by Emmanuelle Rieuf on June 26, 2017 at 9:30am —
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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:…
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Added by Vincent Granville on June 26, 2017 at 7:18am —
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“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…
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Added by Dr. Olav Laudy on June 25, 2017 at 4:00pm —
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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
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Added by Vincent Granville on June 24, 2017 at 7:30am —
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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…
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Added by Roy Wilds, PhD, PHEMI Systems on June 23, 2017 at 8:30am —
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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:…
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Added by Walter Farah on June 22, 2017 at 5:00pm —
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