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Featured Blog Posts – October 2020 Archive (54)

Waiting for Godot: Developing Competitive Differentiation

Note: This is a blog that I wrote back in 2014, but seems even more apropos given all the discussions about the use of technology to achieve digital transformation. Bottom-line: you best invest the time to truly understand your sources of value creation – where you are providing competition differentiation and where you are just providing competitive parity – and drive your technology and people investments accordingly. Remember that Digital Transformation is more about reinventing your…

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Added by Bill Schmarzo on October 21, 2020 at 9:02am — No Comments

RPA Guide For Fintech Industry

Technology is changing the way we live and breathe. We’d even go a step ahead, and quote:

Everything we do as humans, including every feat we’ve achieved as a modern civilization, is marked by dynamic…

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Added by Amit Dua on October 21, 2020 at 2:44am — No Comments

Next Generation Chip Wars Heat Up as AMD Eyes Xilinx acquisition

Data Points

  • Chip manufacturer AMD is in talks to acquire…
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Added by Kurt A Cagle on October 20, 2020 at 10:30am — No Comments

5 Tried and Tested SaaS Marketing Strategies to Generate Leads

SaaS solutions literally power the business world. The rise of AWS, API networks, app marketplaces, and a number of other new developments have made it simpler than ever to build SaaS solutions, and nearly every niche and use case is now being served.…

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Added by Jason Hubbard on October 20, 2020 at 4:37am — No Comments

8 Best Big Data Hadoop Analytics Tools in 2021

Most companies have big data but are unaware of how to use it. Firms have started realizing how important it is for them to start analyzing data to make better business decisions.

With the help of big data analytics tools, organizations can now use the data to harness new business opportunities. This is return will lead to smarter business leads, happy customers, and higher profits. Big data tools are crucial and can help an organization in multiple ways – better decision making,…

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Added by Aileen Scott on October 20, 2020 at 2:00am — 1 Comment

Free book - Cloud Native, Containers and Next-Gen Apps

 

I always seek good resources for my teaching at #universityofoxford and this is a great free book on Cloud native – a topic that is very much in the focus

 

The book needs a free registration and is provided as a full ebook by d2iq.

 

D2iq was formerly mesosphere – the commercial arm of mesos – but…

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Added by ajit jaokar on October 19, 2020 at 1:32pm — No Comments

How Artificial Intelligence Is Reshaping Small Businesses

Artificial intelligence, or AI, technology is continuously reshaping small business processes, techniques, and strategies. Businesses of all sizes are always looking to AI to accelerate repetitive tasks, minimize human errors, and increase accuracy. In fact, over 25% of businesses will use AI in their operational processes by the end of 2020. As a result, AI capability is expected to remain here to stay. To ensure that you are not left behind the competition, small business owners…

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Added by Evan Morris on October 19, 2020 at 12:17am — No Comments

Weekly Digest, October 19

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.  

Featured Resources and Technical…

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Added by Vincent Granville on October 18, 2020 at 2:49pm — No Comments

Genius Tool to Compare Best Time-Series Models For Multi-step Time Series Modeling

Predict Number of Active Cases by Covid-19 Pandemic based on Medical Facilities (Volume of Testing, ICU beds, Ventilators, Isolation Units, etc) using Multi-variate…

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Added by Sharmistha Chatterjee on October 17, 2020 at 10:30pm — No Comments

Types of Variables in Data Science in One Picture

While there are several dozen different types of possible variables, all can be categorized into a few basic areas. This simple graphic shows you how they are related, with a few examples of each type. 

More info:…

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Added by Stephanie Glen on October 17, 2020 at 4:00pm — No Comments

Thursday News, October 15

Here is our selection of articles and technical contributions featured on DSC since Monday:

Announcements

Technical Contributions…

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Added by Vincent Granville on October 15, 2020 at 8:30am — No Comments

AI is Driving Software 2.0… with Minimal Human Intervention

The future of software development will be model-driven, not code-driven.

Now that my 4th book (“The Economics of Data, Analytics and Digital Transformation”) is in the hands of my publisher, it’s time to get back to work investigating and sharing new learnings.  In this blog I’ll take on the subject of Software 2.0.  And thanks Jens for the push in this direction!

Imagine trying to distinguish a dog from other animals in a photo…

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Added by Bill Schmarzo on October 15, 2020 at 6:21am — No Comments

Why you should NEVER run a Logistic Regression (unless you have to)

Hello fellow Data Science-Centralists!

I wrote a post on my LinkedIn about why you should NEVER run a Logistic Regression. (Unless you really have to).

The main thrust is:

  • There is no theoretical reason why a least squares estimator can't work on a 0/1.
  • There are very very narrow theoretical reasons that you want to run a logistic, and unless you fall into those categories it's not worth the time.
  • The run time of a logistic can be up to…
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Added by Charles Thibault on October 14, 2020 at 7:00am — 2 Comments

Cross-validation and hyperparameter tuning

Introduction

Almost every machine learning algorithm comes with a large number of settings that we, the machine learning researchers and practitioners, need to specify. These tuning knobs, the so-called hyperparameters, help us control the behavior of machine learning algorithms when optimizing for performance, finding the right balance between bias and variance. Hyperparameter tuning for performance optimization is an art in itself,…

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Added by Andrea Manero-Bastin on October 14, 2020 at 5:00am — No Comments

Applications of Machine Learning in FinTech

Machine learning is a type of artificial intelligence that provides computers with the ability to learn without being explicitly programmed. The science behind machine learning is interesting and application-oriented. Many startups have disrupted the FinTech ecosystem with machine learning as their key technology.

There are various applications of machine learning used by the FinTech companies falling under different subcategories. Let us look at some of the…

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Added by Andrea Manero-Bastin on October 14, 2020 at 5:00am — No Comments

A quick demonstration of polling confidence interval calculations using simulation

At dinner with friends last Sunday, the topic of conversation fixated on -- what else -- the upcoming presidential election. That morning, a poll had been released by the …

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Added by steve miller on October 13, 2020 at 6:00am — 1 Comment

Weekly Digest, October 12

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 11, 2020 at 1:30pm — No Comments

Machine Learning with Applications in One Picture

Interesting picture summarizing several types of techniques used in machine learning, contrasting unsupervised learning with unsupervised learning and reinforcement learning.

The difference between supervised and unsupervised learning is described…

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Added by Capri Granville on October 11, 2020 at 8:00am — No Comments

Importance of Service Mesh Networks for Scaling Enterprise AI Solutions

 

                                           Source…

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Added by Sharmistha Chatterjee on October 10, 2020 at 9:00pm — No Comments

5 Rules of Probability in One Picture (Cat and Dog Edition)

Knowledge of the basic rules of probability is a must-have for any data scientist. But if you're a visual learner like me, learning the algebraic representations of the 5 basic rules of probability (i.e. P(A) + P(B) = 1) is a challenge. I've never been very good at memorizing formulas, but images stick in my head like ear worms.  Whenever I come across a new formula, I try to make it visual with a picture or doodle. The following picture shows some of the images I created to…

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Added by Stephanie Glen on October 10, 2020 at 8:33am — No Comments

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