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The missing link for IoT - the Cloud

 

Introduction

 

IoT (Internet of Things) has not quite taken off yet as envisaged -  Will the cloud overcome the shortcomings of IoT? I believe that the Cloud is the missing link that enables IoT to create a critical mass towards deployment.

 

The vision outlined here is part of my forthcoming book on Data Science…

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Added by ajit jaokar on July 23, 2019 at 1:07pm — No Comments

Is Your Data Ready for AI?

Companies are champing at the bit to introduce any solution that promises Artificial Intelligence and Machine Learning. But hasty adoption is leaving one important question unanswered.
 
Is your data ready for AI? …
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Added by Lewis Wynne-Jones on July 22, 2019 at 8:00am — No Comments

Measuring Progress Toward AGI Is Hard

Summary:  Artificial General Intelligence (AGI) is still a ways off in the future but surprisingly there’s been very little conversation about how to measure if we’re getting close.  This article reviews a proposal to benchmark existing AIs against animal capabilities in an Animal-AI Olympics.  It’s a real thing and just now accepting entrants.

 …

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Added by William Vorhies on July 22, 2019 at 7:33am — No Comments

Comparing Model Evaluation Techniques Part 2: Classification and Clustering

In part 1, I compared a few model evaluation techniques that fall under the umbrella of 'general statistical tools and tests'. Here in Part 2 I compare three of the more popular model evaluation techniques for classification and clustering: confusion…

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Added by Stephanie Glen on July 21, 2019 at 9:47am — No Comments

Weekly Digest, July 22

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

  • Join us this…
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Added by Vincent Granville on July 21, 2019 at 8:00am — No Comments

Linear and logistic regression in Excel and R: try this free add-in (RegressIt)

Excel is often poorly regarded as a platform for regression analysis. The regression add-in in its Analysis Toolpak has not changed since it was introduced in 1995, and it was a flawed design even back then.  (See this link for a discussion.)    That’s unfortunate, because an Excel file can be a very good place in which to build regression models, compare and refine them, create…

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Added by Robert Nau on July 21, 2019 at 7:00am — No Comments

Visualizing and Animating Optimization Algorithms with Matplotlib

This article was written by Louis Tiao.

 

In this series of notebooks, we demonstrate some useful patterns and recipes for visualizing animating optimization algorithms using Matplotlib.

 …

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Added by Andrea Manero-Bastin on July 19, 2019 at 10:30pm — No Comments

Let's Add Coding to Writing in Mathematics

One of my most memorable experiences during my college years was having an English professor who spoke entirely in complete sentences.There were no spoken sentence fragments, dangling thoughts or misuse of adjectives, verbs or nouns. When I first met him, I was stunned at his level of commitment to this principle. I often wondered how challenging this must be for him and whether or not the…

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Added by Richard Charles, PhD on July 19, 2019 at 6:00pm — No Comments

Value Chains vs Network…Make Way for Co-creation Business Models

 Before I kick off this new blog, I’m happy to announce the release of my 3rd book” "The Art of Thinking Like A Data Scientist”. This book is designed to be a workbook – a pragmatic tool that you can use to help your organization leverage data and analytics to power your business and operational models. The book is jammed with templates, worksheets, examples and…

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Added by Bill Schmarzo on July 19, 2019 at 12:58pm — No Comments

Data Science Central Thursday Digest, July 18

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

Technical Resources

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Added by Vincent Granville on July 18, 2019 at 9:00am — No Comments

Building Neural Network in Keras

A neural network is a series of algorithms that aims to identify underlying relationships in a set of data through a process that is similar to the way the human brain functions.

Keras is an open-source library written in Python for advancing and evaluating deep learning models. It enables you to define and train neural network models in a few lines of code. In this post, we will learn how to build a neural network using…

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Added by Packt Publishing on July 18, 2019 at 3:27am — No Comments

Free book: The #dataengineering cookbook by Andreas Kretz

 

 

I found an interesting, free book which is still a work in progress book – The Data Engineering Cookbook

 

I will be contributing through the author (Andreas Kretz.com) patreon site : (…

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Added by ajit jaokar on July 17, 2019 at 11:00am — No Comments

R, without all that pesky code!

Those of us who were data science practitioners before the ubiquity of buzz words like “Fourth Industrial Revolution”, remember a time when data science was being described as “utter hubris” by some of the worlds leading quants. All these buzz words, coupled with misplaced applications of data science have turned it into a fairly nebulous concept. Which is a problem.



In facilitating my data science workshops I've realized there are two main groups of audiences and learners.…

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Added by Mkhuseli Mthukwane on July 17, 2019 at 1:00am — 2 Comments

6 Ways Mobility Solutions Can Help Skyrocket Supply Chain Company Revenues

Luxury car manufacturer, BMW in the year 2017 faced production stoppage due to Bosche’s inability to supply steering gears. This issue which lasted for about a week caused the German manufacturer to lose €400-€500m, aside from impacting the production of further models.

This example clearly shows how a small inefficiency in the supply chain can have an overall negative impact on the productivity of organizations. A large number of companies which are a…

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Added by Anuj Tripathi on July 16, 2019 at 10:00pm — No Comments

If not mean-variance finance, then what?

I want to apologize to my small audience for being so long in waiting to post a blog post.  My goal had been one per week, but life intervened in the meantime.  While I have tried to be productive, the blog post fell by the wayside. 

 

I did write a couple of short stories, I must confess.  I wrote How to Engage in Counterespionage Operations Against Ghosts because I grew up watching Sherlock Holmes movies and the Twilight Zone.  I wrote a small set of short stories…

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Added by David Harris on July 16, 2019 at 12:45pm — No Comments

The Case For Modern Microservice Applications: Foxes vs. pigeons vs. groundhogs

When trying to implement informed business solutions, what you see is all there is (WYSIATI), which can result in being “data-nearsighted.” For this reason, it is crucial to have a comprehensive data strategy in order to make better business decisions and implement efficient business solutions…

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Added by Aaron Burciaga on July 16, 2019 at 11:11am — No Comments

5 Reasons You Need a Better Data Management Solution

Congratulations.
It took time, but you’re data-driven. You’ve got data scientists to crunch numbers, a fully stocked data lake, and analysts to make it all make sense. But even with the infrastructure in place, benefiting from data isn’t as easy as flipping a switch. These days, businesses have yet to properly…
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Added by Lewis Wynne-Jones on July 16, 2019 at 5:00am — No Comments

How IoT Is Shaping the Agriculture Sector: Benefits Offered by Latest Trends of IoT



With the changing streams of today's technology, business sectors are gaining various benefits from the latest trends. As the modern world has adopted modern approaches, many sectors have undergone a huge transformation and agriculture is one of them which has got this opportunity to upgrade most of their approaches to…

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Added by Smith Johnson on July 16, 2019 at 2:00am — No Comments

The Mathematics behind Artificial Intelligence and Deep Learning

"The book of nature is written in the language of mathematics!" - Galileo.

Each has their own journey through the deep woods of AI & ML. My own exploration has had many stops and starts, stumbles and falls and change in direction. Along the way I have been picked up and helped along by…

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Added by Jai Sharma on July 15, 2019 at 1:30pm — No Comments

Breast Cancer Classification & Prediction using Neural Networks

Introduction

How often are you in a situation where you have 2 alternatives either yes or a no, black or a white, and so on. These are instances where you ‘classify’ your scenario into only two solutions, a number of solutions may vary but usually, they are two solutions. This is what we call as ‘Classification’ we classify the outcomes in a set number of instances usually two. This week at The Datum we have how can we use Neural Networks as the…

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Added by Neeraj on July 15, 2019 at 9:00am — No Comments

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