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Featured Blog Posts – March 2020 Archive (60)

Getting Started with pandas a powerful Python data analysis toolkit

1. Introduction

Pandas

First, Pandas is an open source Python library for data analysis. It contains data manipulation and data structures tools designed to make spreadsheet-like data for loading, manipulating, merging, cleaning, among other functions, fast and easy in…

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Added by Mehmet Gökce on March 13, 2020 at 5:00am — No Comments

Python Programming Fundamentals: A Beginner’s Guide [Updated 2020]

Python is one of the powerful, high-level, easy to learn programming language that provides a huge number of applications. Some of its features, such as being object-oriented and open source, having numerous IDE’s, etc. make it one of the most in-demand programming languages of the…

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Added by Shahanshah Manzoor on March 13, 2020 at 2:00am — 1 Comment

Tech Target Acquires Data Science Central

We are very happy to announce that DSC has found a new home: Tech Target (Nasdaq: TTGT), the global leader in purchase intent-driven marketing and sales services, has a 20 year history of creating high-quality editorial content across more than 140 highly-targeted technology-specific websites. The acquisition was recently announced…

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Added by Vincent Granville on March 12, 2020 at 11:00am — 1 Comment

How to leverage Natural Language Processing (NLP) for business processes optimization

Chatbots, voice-activated assistants and other AI-powered devices have been in use for over a decade. Over this time, human-to-machine interactions improved due to sophisticated data science and machine learning techniques. AI-powered tools and natural language processing (NLP) are rapidly evolving and gaining greater efficiency even as their cost goes down.

Statista predicted in 2019 that the NLP market is anticipated to grow to 43.9 billion dollars by 2025. As a result, many…

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Added by Serhii Maksymenko on March 12, 2020 at 12:00am — No Comments

Multi-Dimensional Frequencies with R data.table.

A few years ago, in a Q&A session following a presentation I gave on data analysis (DA) to a group of college recruits for my then consulting company, I was asked to name what I considered the most important analytic technique. Though a surprise to the audience, my answer, counts and frequencies, was a no brainer for…

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Added by steve miller on March 11, 2020 at 10:30am — No Comments

An introduction to Cloud Native applications and Kubernetes

Introduction

Kubernetes is being described as the next ‘Java’ i.e. it is fast becoming an endemic/ underlying platform for the whole industry just like the Java programming language.

For the first time, we are seeing the entire ecosystem aligning around the single platform via the Cloud native foundation.

Kubernetes is the underlying technology behind a term called ‘Cloud Native’

The Cloud Native foundation defines the term ‘Cloud Native’ as: 

"Cloud…

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Added by ajit jaokar on March 10, 2020 at 11:00am — No Comments

How to Solve the Biggest Challenges in Enterprise AI

90% of data in existence has been generated in the last two years. On a daily basis, 7.5 sextrillion gigabytes of data are generated - around 147,000 gigabytes per person. These numbers are staggering, but it’s to be expected: the world is growing and the machine economy is growing exponentially. That's not to say that all of this data is immediately useful. Organizations can’t simply tap into these sources without massive amounts of pre-processing – but is anybody…

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Added by Maha Islomova on March 10, 2020 at 4:00am — No Comments

Overcoming Challenges in Implementation of Successful AI products

IT professionals acquire AI expertise in a short time by attending couple of online courses. Once the courses are completed successfully, these new gen AI experts look for opportunities to hit problems with the newly acquired AI hammer. It is a challenge to identify problems that need AI for a solution. Majority of the problems seen as an AI problem can be solved easily by traditional statistical methods. But the IT child with new AI hammer in hand thinks that all problems in this…

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Added by Janardhanan PS on March 9, 2020 at 7:00pm — No Comments

ELAINE use case – Improving statistical prediction on financial market with Symbolic Logic

In my previous post, I introduced the ELAINE Community Tool that can be used to discover variables from textual communications.

 

Statistical predictors work well for charting the course of economic activities based on macro factors that elicit supply and demand if the market environment is within a close proximity of a pattern that resembles previous economic cycles. Unfortunately, in today’s geo-political environment, many of these new variables are injecting forces that…

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Added by Sing Koo on March 9, 2020 at 4:30am — 1 Comment

Google Releases TensorFlow Quantum

Today, Google published the following paper:

TensorFlow Quantum: A Software Framework for Quantum Machine Learning, 

TensorFlow Quantum is software for doing Quantum Bayesian Networks. QB nets have been a dream of mine for 24 years, although Google's paper, despite having 20 authors and 129 references, never cites any of my work. When I first had the idea of Quantum Bayesian Networks, I thought it was such a cool idea that, within a span of a year, I published…

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Added by Robert R. Tucci on March 8, 2020 at 10:30pm — 1 Comment

Weekly Digest, March 9

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 March 7, 2020 at 10:00am — No Comments

The case for open data for AI in the fight against COVID-19

I saw a post recently which claimed that AI can help doctors diagnose coronavirus

On the face of it - this sounds like a positive development but I wonder if it is?

As I understand it,  a single Chinese…

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Added by ajit jaokar on March 6, 2020 at 12:09pm — 1 Comment

The True Value of Legacy Systems Modernization for Businesses

To stay relevant businesses should always take the path of innovation: what was effective a few years ago today just might not be that effective. In this article, I would like to talk about Legacy Systems Modernization and why should you do anything you can to keep your processes up-to-date, with the…

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Added by Roman Chuprina on March 6, 2020 at 3:30am — No Comments

Who All Can Benefit From the Implementation of the Energy Monitoring Solution?

No doubt, the technology of Internet of Things is swelling at an extraordinary rate. One sector that has benefited significantly from this technological marvel is the powerhouse sector of energy.

In 2015, the global energy market reached a valuation of USD 6.8 billion and is now expected to reach $26.5 billion by the end of…

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Added by Sanjeev Verma on March 5, 2020 at 11:30pm — No Comments

Schmarzo’s Economic Digital Asset Valuation Theorem Formulas

I’ve had several folks tell me that if I can’t convert the “effects” in the Schmarzo "Economic Digital Asset Valuation Theorem” into mathematical equations, that my quest for a Nobel Prize in Economics would be greatly hindered.  So, I enlisted the help of my senior data science team of Wei Lin, Mauro Damo and Yong Zhang to help me address this problem (they were only diverted from small projects related to preserving our rainforests, improving healthcare and reducing carbon…

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Added by Bill Schmarzo on March 4, 2020 at 5:00am — 1 Comment

Data Visualization 101: 4 Tips To Convert Data To Information Quickly

Data science is all about extracting the information from the data gathered. As data has become one of the essential entities in today's world, it drives substantial business profits. It also inspires many to launch their startup based on the assessments they perform of the…

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Added by Shady Johnson on March 4, 2020 at 2:30am — No Comments

How to Pick a Winning March Madness Bracket

by Robert Robison, Data Analyst, Elder Research

In 2019, over 40 million Americans wagered money on March Madness brackets, according to the American Gaming Association. Most of this money was bet in “bracket…

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Added by Paul Derstine on March 3, 2020 at 7:30am — No Comments

What are Data Lakes ?

Some of you are highly organized, disciplined, and keep all your belongings arranged in an ordered manner. You can easily remember the location of all these items and will be able to fetch them in a short time. But there are people who are highly unorganized and keeps all their belongings in a random manner and will have no clue on where to look for an item when they really need it. This results in a search operation on all storage spaces in the house when they want to fetch an item. There is… Continue

Added by Janardhanan PS on March 2, 2020 at 9:37pm — No Comments

Making Sense of the Hype Cycle for Artificial Intelligence

Summary:  If you’re planning your AI/ML business strategy watch out for the confusion in categories and overly risky ratings given by some research and review sources.  Read the research, then consult with your own data scientists for a better evaluation of risk. It’s likely not as bad as you think. 

 …

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Added by William Vorhies on March 2, 2020 at 12:42pm — No Comments

Weekly Digest, March 2

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 March 1, 2020 at 11:00am — No Comments

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