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Thursday News, October 17

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

Announcement

Resources

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Added by Vincent Granville on October 17, 2019 at 9:00am — No Comments

RADR: A Powerful Visual Risk Analytics Tool

by Vic Diloreto, Director, Software Products, Elder Research

The Risk Assessment Data Repository (RADR) is a powerful risk analytics platform used to enhance productivity in the investigation of fraud, waste and abuse. This server-based, data analytics product  fuses data from…

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Added by Paul Derstine on October 17, 2019 at 5:01am — No Comments

Simulated Stock Market: Original Gaming App Played with Real Money

I wrote earlier in 2019 an article entitled New Stock Trading and Lottery Game Rooted in Deep Math, see here. It features a number guessing game that -- depending on the parameters -- mimics either a neutral stock market or a lottery. The gain depends on the distance between your guess and the winning numbers. The average gain is zero, and…

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Added by Vincent Granville on October 16, 2019 at 7:56am — No Comments

Federated Machine Learning - Collaborative Machine Learning without Centralised Training Data

Like a failed communist state traditional machine learning centralises training of a model on a single machine. Centralising data in a single central location is not always possible for a variety of reasons such as slow network connections, and legal constraints. These…

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Added by Brett Drury on October 16, 2019 at 2:00am — No Comments

Smart Transportation System: Boon of IoT to the Transportation Industry

The whole world is evolving at the lightening speed due to technological advancement. Most of the business sectors have opted for one or other technological solutions for operating their business smoothly and also for earning huge profits. The advent of advanced technologies like…

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Added by Shady Johnson on October 16, 2019 at 1:58am — No Comments

Visually Explained: Human Vs. Artificial Intelligence - Who Wins The Race?

Human and artificial intelligence compares just as well as oranges and apples do. Nonetheless, the broader public does precisely that, including a vast portion of businesses and organizations. Hence, let's do a thought experiment: If we were to compare human and artificial intelligence, how would we go about it? And what would be the possible conclusions from that comparison?…

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Added by Rafael Knuth on October 14, 2019 at 9:47am — No Comments

Surprise – Model Improvements Don’t Always Drive Business Impact

Summary:  Data Scientists from Booking.com share many lessons learned in the process of constantly improving their sophisticated ML models.  Not the least of which is that improving your models doesn’t always lead to improving business outcomes.

 

The adoption of AI/ML in business is at an inflection point. …

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Added by William Vorhies on October 14, 2019 at 9:28am — No Comments

Does Your Hypothesis Development Canvas Tell a Story?

As Kevin Lynch, CTO of The Information Lab in Dublin, was describing how his organization uses the Hypothesis Development Canvas, it occurred to me that Kevin was actually using the canvas to tell a story about how his organization uses data science to uncover new sources of value (see Figure 1).…

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Added by Bill Schmarzo on October 14, 2019 at 5:24am — No Comments

What is Data Science?

Data Science continues to be a hot topic among skilled professionals and organizations that are focusing on collecting data and drawing meaningful insights out of it to aid business growth. A lot of data is an asset to any organization, but only if it is processed efficiently. The need for storage grew multifold when we entered the age of big data. Until 2010, the major focus was towards building a state of the art infrastructure to…

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Added by Priyansha Kansal on October 14, 2019 at 12:24am — No Comments

5 Common Issues that Wreck Database Security and How to Solve them

With data growing at its highest rate ever, cyberattacks and digital warfare are on the rise to get hold of any crucial data. The malicious actors primarily target the data in organizations; if it’s important to you, so it is to them.

Cybercriminals often target databases since they mostly store sensitive data — customer data, financial…

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Added by Evan Morris on October 13, 2019 at 10:18pm — No Comments

Weekly Digest, October 14

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. To subscribe, follow this link.

Announcement…

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Added by Vincent Granville on October 13, 2019 at 11:00am — No Comments

40+ Modern Tutorials Covering All Aspects of Machine Learning

This list of lists contains books, notebooks, presentations, cheat sheets, and tutorials covering all aspects of data science, machine learning, deep learning, statistics, math, and more, with most documents featuring Python or R code and numerous illustrations or case studies. All this material is available for free, and consists of content mostly created in 2019 and 2018, by various top experts in their respective fields. A few of these documents are available on LinkedIn: see last section…

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Added by Capri Granville on October 12, 2019 at 7:30am — 1 Comment

GIF Image Featuring a Beautiful Visualization

Interesting GIF visualization. We do not endorse any political opinion, and the picture below is provided only for its visual value, not for its political content.

It was originally posted here. Other visualizations can…

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Added by Capri Granville on October 11, 2019 at 6:30am — No Comments

Bayesian Machine Learning

Bayesian Machine Learning (part -7)

Expectation-Maximization : A solved Example

I have covered the theoretical part of EM algorithm in my previous posts. For reference below are the links:…

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Added by Ashutosh vyas on October 11, 2019 at 5:17am — No Comments

Coding vs Programming – What’s the Difference?

The Difference between Coding and Programming are explained in the below-mentioned points:

Coding is the process of translating and writing codes from one language to another whereas Programming is the process of building an executable program that can be used to carry out proper machine level outputs.

Coding only deals with the…

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Added by Edward Bailey on October 11, 2019 at 2:16am — No Comments

Difference Between Correlation and Regression in One Picture

Correlation and regression analysis both deal with relationships between variables.  There are many different types of correlation and regression; This image focuses on the differences between the two most common ones: Pearson correlation and…

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Added by Stephanie Glen on October 10, 2019 at 12:01pm — No Comments

Thursday News, October 10

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

Resources

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Added by Vincent Granville on October 10, 2019 at 9:00am — No Comments

How to Boost Mobile App Development Process Using Big Data?

It’s a fact that we cannot live without our smartphones in the globalized world. Mobile has transformed the way we work and live. We do multiple things via our smartphones – paying bills to track our diet to a planning meeting. The apps we use to complete our tasks involve big data use and this has to be analyzed by a powerful data management tool. 

Big data management will provide insights from the gathered information through the apps (that are being used by the users). Continuous…

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Added by Divyesh Aegis on October 10, 2019 at 12:30am — No Comments

Implementing Linear Regression with Golang

Did you ever wonder why linear regression plays an important role in statistics and machine learning? It is witnessed that linear regression is one of the most commonly and well-understood algorithms. 

Regression is a statistical method for calculating relationships among variables. It is one of the most popular and simplest regression…

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Added by Packt Publishing on October 9, 2019 at 11:09pm — No Comments

Catalyst and Accelerant for Decision Making: Data Engineering and Analytics Applications

We live in a world driven by insights and decision making fueled by data and analytics. Information and technologies are so ubiquitous that no organization needs to be a digital titan (such as Amazon or Google) to compete in today’s world of business. Companies, large and small, are recognizing the need to utilize the full value of their…

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Added by Aaron Burciaga on October 9, 2019 at 11:32am — No Comments

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