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Weekly Digest, October 7

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.  

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Added by Vincent Granville on October 6, 2019 at 10:30am — No Comments

Free Book: Getting Started with TensorFlow 2.0

By Amita Kapoor and Ajit Jaokar. In this book, we introduce coding with tensorflow 2.0. We show how to develop with tensorflow 1.0 and contrast how the same code can be developed in tensorflow 2.0. The book emphasizes the unique features of tensorflow 2.0. Earlier this year, Google announced TensorFlow 2.0, it is a major leap from the existing TensorFlow 1.0.

The key differences are:

  • Ease of use
  • Eager…
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Added by Vincent Granville on October 5, 2019 at 1:30pm — No Comments

Preparing for AI Driven Future with Hybrid Cloud

Organizations across the globe are buzzing about the cloud as the savior of their data management needs that provides them with the assistance they require for their business solutions. In this digital era of insights and analytics, the cloud has emerged as…

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Added by Ronald van Loon on October 4, 2019 at 11:10pm — No Comments

Build an Analytics Strategy for an AI Driven Future with the Hybrid Cloud

As a long-time part of this industry, I have spent a good part of the last decade talking about the digital transformation. Call it the digital transformation or the data-led transformation, but this transformation has been the talk of the town for a long…

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Added by Ronald van Loon on October 4, 2019 at 11:07pm — No Comments

Faster Innovation and Development with a Full-Stack AI Strategy

The future is here and companies that have incorporated the latest innovations led by AI in their business processes are reaping the rewards. 

A full-stack AI strategy is the way forward and is being adopted by numerous organizations with their eyes on the…

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Added by Ronald van Loon on October 4, 2019 at 10:59pm — No Comments

Fixing WiFi connectivity on Nvidia Jetson Nano: An Artificial Intelligence Developer Kit

After going through Nano official forums, if you are planning to buy expensive wifi modules, just because of reported issues of connectivity loss, then you need to check this blog.

This blog contains 5 minutes verified & tested hack to solve buggy driver, so that, jetson nano never loses its connectivity.

Firstly, check wifi module…

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Added by PS Dhillon on October 4, 2019 at 4:01am — No Comments

Introduction and New Open-sourced Tool for Tableau

Hello Everyone, I've just recently joined this site. Firstly, I would like to share with you all a free and open-sourced tool that I have published on github.com for Tableau that reduces the time required to complete a report. It takes the stress out of remembering what calculated fields are used and where across your workbook by giving you an easy to browse Tableau report that can be refreshed anytime…

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Added by Darren Edwin Braynard on October 3, 2019 at 5:00pm — No Comments

Digital Transformation: Preparing your Organization for a World of Constant Change

“It is hard to teach an old dog new tricks.  They’ve only been in business for 155 years.”

 – Anonymous

The Pullman Co (1867), Allied Corp (1920), Heinz (1869), Hughes Tool (1908), Ford Aerospace (1956), Motorola (1928), Bethlehem Steel (1857), Ralston Purina (1894), Compaq (1982), E.F. Hutton (1904), PaineWebber (1880), MCI (1983), Eastern Airlines (1926) and Pan Am Airlines (1927), Houston Natural Gas / Enron (1940), Arthur Andersen (1913),…

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Added by Bill Schmarzo on October 3, 2019 at 1:13pm — No Comments

Thursday News, October 3

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

Resources

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Added by Vincent Granville on October 3, 2019 at 11:00am — No Comments

Welcome to Entanglish, a Python library for calculating quantum entanglement

"Speak Quantum Friend and Enter"

.
Today, I uploaded to github my new software library called Entanglish (open source, under BSD license). Entanglish is a Python toolbox for calculations related to quantum entanglement (including squashed entanglement). Available at …
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Added by Robert R. Tucci on October 3, 2019 at 9:30am — No Comments

Free Book: A Comprehensive Guide to Machine Learning (Berkeley University)

By Soroush Nasiriany, Garrett Thomas, William Wang, Alex Yang. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. Dated June 24, 2019. This is not the same book as The Math of Machine Learning, also published by the same department at Berkeley, in 2018, and also authored by Garret…

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Added by Capri Granville on October 3, 2019 at 8:30am — No Comments

Top 6 Data Science Use Cases in Design

Nowadays, industries are privileged by the opportunity to apply data science to reach new heights in their efficiency, productiveness, and overall success. The range of these opportunities is pervasive starting with advanced calculations for the business to customer service…

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Added by Igor Bobriakov on October 3, 2019 at 3:17am — No Comments

Surprising Uses of Synthetic Random Data Sets

I have used synthetic data sets many times for simulation purposes, most recently in my articles Six degrees of Separations between any two Datasets and How to Lie with p-values. Many applications (including the data…

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Added by Vincent Granville on October 2, 2019 at 10:00am — No Comments

Want to be data-driven? Better start thinking about DataOps

Everyone’s talking data. Data is the key to unlocking insight, the secret sauce that will…

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Added by Lewis Wynne-Jones on October 2, 2019 at 4:30am — No Comments

Is There a Difference Between Open Data and Public Data?

Yep. And it’s a big one.



There is a general consensus that when we talk about open data we are referring to any piece of data or content that is free to…

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Added by Lewis Wynne-Jones on October 1, 2019 at 9:00am — No Comments

Creating maps in R using ggplot2 and maps libraries

Guest blog by  Michael Grogan.

Here is how we can use the maps, mapdata and ggplot2 libraries to create maps in R.



In this particular example, we’re going to create a world map showing the points of Beijing and Shanghai, both cities in China. For this particular…

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Added by Vincent Granville on October 1, 2019 at 7:41am — No Comments

Making Sense of the Wild World of Hadoop

If you still can’t figure out what exactly Hadoop is, don’t worry, you’re not alone. But hopefully this multi-part blog series will help! Hadoop is very difficult to understand if, like most people, you’re gathering bits and pieces of info here and there. And, sorry Wikipedia, but your page isn’t very helpful if you aren’t a…

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Added by Michael Burke on September 30, 2019 at 1:44pm — No Comments

Significance Level vs Confidence level vs Confidence Interval

You may have figured out already that statistics isn't exactly a science. Lots of terms are open to interpretation, and sometimes there are many words that mean the same thing—like "mean" and "average"—or sound like they should mean the same thing, like significance level and confidence level.  

Although they sound very similar, significance level and confidence level are in fact two completely different concepts. Confidence levels and confidence…

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Added by Stephanie Glen on September 30, 2019 at 12:00pm — No Comments

Correlation does not equal causation but How exactly do you determine causation?

 

 

Introduction

 

Co-relation does not equal causation – is a mantra drilled into a Data Scientist from an early age

That’s fine ..

But very few talk of the follow-on question ..

How exactly do you determine causation?

This problem is…

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Added by ajit jaokar on September 30, 2019 at 6:33am — 2 Comments

How Artificial Intelligence Will Affect Design In Future

There are a lot of on-going controversies on the impact of Artificial Intelligence on designing and development. While, designing is a bit of a complex process; as the humans only have the capability to set the context and create what the user’s really are looking for. But researchers and designers are constantly working on the technology in an attempt to find out how AI will affect the future of designing industry. …

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Added by Ashok Sharma on September 29, 2019 at 7:30pm — No Comments

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