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Featured Blog Posts – November 2020 Archive (73)

Data Science Central Weekly Digest, 23 Nov 2020

Real Users Rate Top 8 Data Prep Tools
Data Science Central Weekly Digest, 23 Nov…
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Added by Kurt A Cagle on November 23, 2020 at 7:30pm — No Comments

Introducing an All-purpose, Robust, Fast, Simple Non-linear Regression

The model-free, data-driven technique discussed here is so basic that it can easily be implemented in Excel, and we actually provide an Excel implementation. It is surprising that this technique does not pre-date standard linear regression, and is rarely if ever used by statisticians and data scientists. It is related to kriging and nearest neighbor interpolation, and apparently first mentioned in 1965 by Harvard scientists working on GIS (geographic information systems). It was referred…

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Added by Vincent Granville on November 23, 2020 at 6:00pm — No Comments

The most common mistake people make in mid-career transition to AI

 AI will impact many jobs  and COVID has only accelerated this trend   
 
Based on my teaching at the University of Oxford for AI, we see a big demand for people wanting to transition to AI due to the current environment. 
If you are at the early stage of your career (less than two years out of Uni), a transition…
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Added by ajit jaokar on November 23, 2020 at 12:46pm — 3 Comments

External Change Drivers that will Impact Work and Professions

In my previous post, What’s Driving the Future of Work and Professions?, I mentioned PESTLE as a helpful framework for classifying external forces that act on all of us and the companies for which we work.  In this article, I present a list of them for you to consider.  It’s not encyclopedic, but it’s a good…

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Added by Howard M Wiener on November 23, 2020 at 6:00am — No Comments

Elements of a Viable Machine Learning Algorithm

Being an expert at developing and understanding ML, or Machine Learning algorithms, takes time and a lot of hard work. That’s why ML (machine learning) engineers are been seen constantly learning while at the job. If the learning stops, your professional growth stops. Many of us, especially the AI aspirants, think that watching tutorial videos on AI (artificial intelligence) modeling or ML algorithm development on YouTube…

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Added by Aileen Scott on November 22, 2020 at 7:30pm — No Comments

How Can Your Organization Manage AI Model Biases?

I’ve been reading the interesting and soul-searching (from a data scientist perspective) book from Cathy O’Neil titled “Weapons of Math Destruction”, or WMD as used in the book.  The book provides several real-world examples of how Big Data and Data Science – when not properly structured – can lead to ethically-wrong unintended consequences. 

Chapter…

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Added by Bill Schmarzo on November 22, 2020 at 11:20am — No Comments

DSC Thursday News, 19 Nov 2020

DSC Thursday News, 19 Nov 2020…

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Added by Kurt A Cagle on November 20, 2020 at 7:30am — No Comments

How Taxonomies Differ From Ontologies

Over the years, I've had people ask me how a taxonomy differs from an ontology. The answer (or at least a reasonably simple answer) is that "a taxonomy is a tree shaped ontology".

It is worth digging  bit deeper to understand what that means, however:

Way back in the early 18th century, a Swedish biologist by the name of Carl Linnaeus…

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Added by Kurt A Cagle on November 19, 2020 at 7:42pm — No Comments

The State of the Art in Implementing Machine Learning for Mobile Apps

Mobile applications based on machine learning are reshaping and affecting many aspects of our lives. Implementing machine learning on mobile devices faces various challenges, including computational power, energy, latency, low memory, and privacy risks. In this article, we…

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Added by AI on November 19, 2020 at 11:00am — No Comments

Robust Adversarial Inputs

This article was written on OpenAI. 

We’ve created images that reliably fool neural network classifiers when viewed from varied scales and perspectives. This challenges a claim from last week that self-driving cars would be hard to trick maliciously since they capture images from multiple scales, angles, perspectives, and…

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Added by Andrea Manero-Bastin on November 19, 2020 at 1:59am — No Comments

Time-Series Feature Extraction with Easy One Line of Python Code

Introduction and Motivation

It is becoming increasingly common for organizations to collect very large amounts of data over time, and to…

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Added by Sharmistha Chatterjee on November 19, 2020 at 12:22am — No Comments

Intelligent Automation – Just Add AI to your RPA

Summary:  Let’s start by clarifying the difference between RPA (Robotic Process Automation) and IA (Intelligent Automation).  Then we’ll show why AI/ML inside Intelligent Automation is the secret sauce that really makes this work.

 

As we’ve tracked the adoption of AI/ML across industries…

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Added by William Vorhies on November 18, 2020 at 9:00am — No Comments

When Is a Machine Learning Model Good Enough for Production, and How to Stress About It Only Once?

As you start incorporating machine learning models into your end-user applications, the question comes up: “When is the model good enough to deploy?”

There simply is no single right answer.

There is no clear-cut measure of when a machine learning model is ready to…

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Added by Henrik Skogström on November 18, 2020 at 5:30am — No Comments

How to Learn DevOps to Boost Your Career in 2021

If are you an established DevOps engineer, or do you plan to enter DevOps?. Forrester, the leading consulting firm, labeled 2018 as 'the year of enterprise DevOps' and predicts DevOps being adopted by 50 percent of companies all over the world.

How much time is required to learn DevOps?

  • DevOps learning calls for constant commitment, desire and enthusiasm. The DevOps training will take between one week and several…

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Added by Lokesh on November 18, 2020 at 12:00am — 2 Comments

IoT and its Impact on Education Sector

The educational sector had already been gradually embracing technology when the coronavirus came along. This substantial change has also accelerated the industry’s efforts to evaluate and embrace newer technologies. It offers the potential to lend assistance further and aid their many efforts to deliver quality education. This search has led to the emergence…

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Added by Ryan Williamson on November 17, 2020 at 8:00pm — No Comments

Data Science Central Weekly Digest, 16 Nov 2020

Welcome to the DSC Weekly Digest, a production of Data Science Central. Every week, we pick out the newest and brightest articles on the topic of data ... and how it informs our lives, powers our applications, and provides insights into our…

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Added by Kurt A Cagle on November 17, 2020 at 6:30am — No Comments

What Role Does IoT Play in the Healthcare Industry?

The varying needs of patients and the growing need for better management of healthcare have driven companies to look for answers and help from technology. Suffice it to say that technology answered the call and how! While there are plenty of technology-driven resources that offer quality help. None has proven to be quite as potent as the Internet of Things, which is essentially a network of devices connected via the internet. In the context of healthcare, it empowers healthcare providers…

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Added by Ryan Williamson on November 17, 2020 at 2:08am — No Comments

From Data Collection to Text Interpretation. An interview on exploring techniques and use cases for text mining

Meet two text mining experts in today’s interview, which explores some of the common issues faced by data scientists in text analytics. Prof. Dursun Delen and…

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Added by Rosaria Silipo on November 15, 2020 at 12:00am — No Comments

How do you know what independent variables to include in a regression model?

After a few biostatistics classes, I began fitting my first logistic regression model using my physician friend’s data on tumors excised from skin cancer patients. I realized that although we were very clear about the dependent variable we were trying to predict – a certain feature of the tumor – I really did not know how to pick the independent…

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Added by Monika Wahi on November 14, 2020 at 10:30am — 1 Comment

Predicting Heart Disease using Machine Learning? Don’t!

Image Credits: Unsplash

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Added by Venkat Raman on November 14, 2020 at 7:04am — 4 Comments

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