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Weekly Digest, June 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.

Featured Resources and Technical Contributions


Added by Vincent Granville on June 24, 2018 at 3:00am — No Comments

Multivariate Regression with Neural Networks: Unique, Exact and Generic Models

Michael Nielsen provides a visual demonstration in his web book Neural Networks and Deep Learning that a 1-layer deep neural network can match any function y = f(x) . It is just a matter of the number of neurons to get a prediction that is arbitrarily close – the more the neurons the better the approximation.  There is the Universal Approximation Theorem as well that supplies a rigorous proof of the same.But the known issues…


Added by Ashok Chilakapati on June 22, 2018 at 2:30pm — No Comments

Contamination of the Control Group

Continuing my thoughts on random experiments and what can go wrong:

One common problem is Contamination of the Control Group

The only difference between the treatment and control groups should be the treatment.  That said, this isn't always true.  How the treatment is administered can affect the control group.  Think about health examples where, for example, deworming…


Added by Howard Friedman on June 22, 2018 at 3:55am — No Comments

Gradients support in PyTorch

In this article by Maxim Lapan,  the author of Deep Reinforcement Learning Hands-On,we are going to discuss about gradients in PyTorch.

Gradients support in tensors is one of the major changes in PyTorch 0.4.0. In previous versions, graph tracking and gradients accumulation were done in a separate, very thin class Variable, which worked as a wrapper around the tensor and automatically performed saving of the history of computations in order to be able to…


Added by Packt Publishing on June 22, 2018 at 12:30am — No Comments

Useful Tips to Begin a Career in Data Science

Technological advancements along with the changing business environment have made a career in data science extremely lucrative to be pursued. However, it can be a little intimidating to learn data science. Especially, in the initial stages when there are so many techniques and tools to focus on.

Professionals planning to build a career in data science have different kinds of curiosities about what all they should or should not learn. And also about the relevance of skills like…


Added by Yoey Thamas on June 21, 2018 at 7:00pm — No Comments

Will the job outlook for data scientists severely decline after 2020?

Interested question posted on Quora recently. Here is my take on this.

Just put the next buzz word on your resume when you graduate, maybe AI engineer? I completed my PhD in computational statistics 25 years ago. It was in fact data science (image remote sensing), but under a different name. I changed my job title from statistician to data scientist many years ago, and I may dot it again if needed. There is more and more data to process, so the need will grow, but it will grow very…


Added by Vincent Granville on June 21, 2018 at 12:30pm — No Comments

Using Topological Data Analysis to Understand the Behavior of Convolutional Neural Networks

TLDR: Neural Networks are powerful but complex and opaque tools. Using Topological Data Analysis, we can describe the functioning and learning of a convolutional neural network in a compact and understandable way. The implications of the finding are profound and can accelerate the development of a wide range of applications from self-driving everything to GDPR.


Neural networks have demonstrated a great…


Added by Jonathan Symonds on June 21, 2018 at 9:30am — No Comments

Thursday News: AI, Decision Trees, Feature Selection, World Cup Predictions, Data Science and Biology

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


Added by Vincent Granville on June 21, 2018 at 8:14am — No Comments

When Randomization Fails

Randomization, including A/B testing, often fails...for a variety of reasons.  When that happens you will likely find yourself in a situation where the treatment and control groups differ significantly.

First thing to remember is that some differences can occur in studies that are unavoidable.  Are the differences practically significant?  Are they statistically…


Added by Howard Friedman on June 21, 2018 at 5:41am — No Comments

The Top 3 Openstack Benefits and Challenges

Over the past decade, we have seen a shift towards virtualization, a stepping stone to complete cloud utilization. However, even by leveraging virtualization, you still need the appropriate building blocks for a private cloud environment. This involves going beyond simply virtualizingcompute and other central data center subsystems (i.e., network and storage), and requires you to enable flexible APIs in order to automate resource provisioning and…


Added by lakshmi yarlagadda on June 20, 2018 at 11:30pm — No Comments

Data Science for freshers like me!!

I was at crossroad to choose my next leap. Cloud, AWS, Agile, Blockchain and many other were the words I heard from the experts and how its boom in the industry. I was confused on what subject and technology should I consider for comprehensive study for my professional growth. I have been working on Business Intelligence tools for quite some time and had inclination towards data and facts that could be supported by data, understanding what data means…


Added by Reena Nagrale on June 20, 2018 at 11:00pm — No Comments

How to unlock value from Enterprise Asset Analytics ?

Digital world is all around us! Disruptive Business Models is the new phenomenon! It means different things (not just internet of things) to different people and businesses.

Some industries are traditionally slow in adapting new technologies. For example, AOVC (Asset Oriented Value Chains – Natural Resources, Metals and Chemicals) have not explored digital to it’s full potential. Analytics is one of the key components of this revolution. It it not just about capturing…


Added by Amit Supe on June 20, 2018 at 10:00pm — No Comments

Applying Agile IT Methodology to Data Science Projects

If you keep up with the latest trends in the business world, then Data Science is a term that appears frequently nowadays. It is a steadily growing field and newer developments keep occurring as well. Data Science is responsible for multiple benefits for varying business industries. Small and large businesses alike are catching up; discovering high potential for growth using data analytics.

Data Science Projects

Businesses that seek to improve their solutions for customers by…


Added by VAMSI NELLUTLA on June 20, 2018 at 5:30pm — No Comments

Tomorrow’s Digital Transformation Battles Will Be Fought at the Edge

Gartner’s recently released “Magic Quadrant for Industrial IoT Platforms” outlines how organizations can leverage the Internet of Things (IoT) to drive their digital transformation initiatives. In particular, Gartner believes that “By 2020, on-premises Internet of Things (IoT) platforms coupled with edge computing will account for up to 60% of industrial IoT (IIoT) analytics, up from less than 10% today.”[1]

More real-time sensor and…


Added by Bill Schmarzo on June 20, 2018 at 1:30pm — No Comments

Developing a Logic Model for Program Evaluation

Before implementing a program, I like to first develop a logic model.  

This can be a fast exercise that can lead to insights into the strengths and weaknesses of the program design.  There are many different models used and I prefer a simple one with 4 basic parts:

1. Inputs—resources that go into a program including staff, materials, money, equipment, facilities,…


Added by Howard Friedman on June 20, 2018 at 11:53am — No Comments

Design Patterns for Deep Learning Architectures

This article comes from Deep Learning Patterns. 

Note to reader: Diving into this material here can be a bit overwhelming. One way though to get an understanding of the thought process is to follow the…


Added by Emmanuelle Rieuf on June 20, 2018 at 8:30am — No Comments

Simple Solution to Feature Selection Problems

We discuss a new approach for selecting features from a large set of features, in an unsupervised machine learning framework. In supervised learning such as linear regression or supervised clustering, it is possible to test the predicting power of a set of features (also called independent variables by statisticians, or predictors) using metrics such as goodness of fit with the response (the dependent variable), for instance using the R-squared coefficient. This makes the process of feature…


Added by Vincent Granville on June 20, 2018 at 5:00am — 2 Comments

Program Evaluation: 8 Steps

In business, we often implement programs and then try to determine if the program had an impact. This is an example of program evaluation where, more generally, program evaluation is a study conducted with the intent of determining how effective a given intervention (program) is at achieving a specific outcome.

What types of programs? That could be a cross-sell program, customer retention program, new advertising method etc.

Is this just A/ B testing? A/B testing is a great…


Added by Howard Friedman on June 20, 2018 at 3:02am — No Comments

AI in Retail Market to register a stupendous CAGR of 40% over 2018-2024

In an era dominated by tech advancements, artificial intelligence (AI) in retail market is expected to emerge as a viable investment ground, given the pace at which AI is being incorporated in industry verticals. Amidst this backdrop, traditional retail chains have been modifying their approach, especially after 2017 witnessed the application for bankruptcy by 21 retail chains inclusive of biggies such as Toys R’ Us, Aerosoles and RadioShack. Many others like…


Added by Sagar on June 19, 2018 at 8:30pm — No Comments

Bill Vorhies Retrospective: Part 4

Bill is the Editorial Director for Data Science Central, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructure projects as a service. Bill has been an active commercial predictive modeler since 2001.…


Added by Vincent Granville on June 19, 2018 at 8:30pm — No Comments

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