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October 2018 Blog Posts (89)

Ad hoc analysis: BI's fast food problem

(This article originally appeared on the…

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Added by Matthew Gierc on October 4, 2018 at 7:00am — No Comments

AI Transforms Industrial IoT

If you’ve been studying artificial intelligence and its growth, you’ll know that the industry is well past its nascent stage now. There is significant maturity in its growth, and companies from diverse backgrounds are realizing the impact of incorporating data and AI into their ecosystems.

In a bid to understand the dynamics of this data-centered…

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Added by Ronald van Loon on October 3, 2018 at 10:15pm — No Comments

Why Use Framework for Deep Learning?

Why Use Framework for Deep Learning?

You can implement your own deep learning algorithms from scratch using Python or any other programming language. When you start implementing more complex models such as Convolutional Neural Network (CNN) or Recurring Neural Network (RNN) then you will realize that it is not practical to implement very large models from scratch. …

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Added by Muhammad Rizwan on October 3, 2018 at 8:00pm — No Comments

Predict ►Prescribe ►Prevent Analytics Value Cycle

Organizations looking for justification to move beyond legacy reporting, should review this little ditty from the healthcare industry:

The Institute of Medicine (IOM) estimates that the United States loses $750 billion annually to medical fraud, inefficiencies, and other siphons in the health-care system[1].

The report identified six major areas of waste: unnecessary services ($210 billion annually); inefficient…

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Added by Bill Schmarzo on October 2, 2018 at 2:30pm — No Comments

Getting real insights from human resources management.

Data Science is a broad discipline, even though the concept is recent, every day is evolving. According to Berkeley School of Information, the Data Science Life Cycle has five stages, this stages are not exclusive from one another. These five stages are Data Capture, Data Maintain, Data Process, Data Analysis and Data Communication. The latter is the most important activity in businesses. It is where we deliver Data Visualizations, Data Reports, Business Intelligence and Decision Making.…

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Added by Mauricio Mani on October 2, 2018 at 2:00pm — No Comments

Lots of Free Open Source Datasets to Make Your AI Better

Summary:  There are several approaches to reducing the cost of training data for AI, one of which is to get it for free.  Here are some excellent sources.

 

Recently we wrote that training data (not just data in general) is the new oil.  It’s the difficulty and expense of acquiring labeled training data that causes many deep…

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Added by William Vorhies on October 2, 2018 at 7:23am — No Comments

Python Vs R : The Eternal Question for Data Scientists

Python and R are the two most commonly used languages for data science today. They are both fully open source products and completely free to use and modify as required under the GNU public license.

But which one is better? And, more importantly, which one should you learn?

Both are widely used and are standard tools in the hands of every data scientist.

The answer may surprise you – because as a professional data scientist, you should be ready to deal with…

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Added by Divya Singh on October 2, 2018 at 6:15am — 1 Comment

Statistical analysis on the Android platform

Last week a new release of AWork (version 2.0) was submitted to Google Play  (see the AWork link). Finally it supports Android 8+ devices with high resolution screens. AWork is a complete programming environment for Android devices…

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Added by jwork.ORG on October 1, 2018 at 3:30pm — No Comments

AI and Algorithmocracy: What the Future Will Look Like

Introduction

With the recent news about Facebook and Cambridge analytica, we are rightly concerned about the power and impact of algorithms to shape political debate and more generally, our lives. The…

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Added by ajit jaokar on October 1, 2018 at 2:00am — No Comments

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