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Featured Blog Posts – September 2020 Archive (45)

AI Has Become So Human, That You Can’t Tell the Difference

You might be wondering if machines are a threat to the world we live in, or if they’re just another tool in…

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Added by Diego Lopez Yse on September 19, 2020 at 2:00pm — 1 Comment

The Secret Weapons of Fake News

Modern fake news has evolved into a complex organism, carefully designed to hide its deceptive mechanisms…

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Added by Diego Lopez Yse on September 19, 2020 at 1:57pm — No Comments

Algorithms of Social Manipulation

Do you know how your apps work? Are you aware of what tech companies are doing in the back with your data?…

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Added by Diego Lopez Yse on September 19, 2020 at 1:30pm — No Comments

The Future of Fake News

Is Bitcoin the revolution against unequal economic systems, or a scam and money laundry mechanism? Will…

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Added by Diego Lopez Yse on September 19, 2020 at 1:30pm — No Comments

3 Big Reasons Every Business Must Adopt DevOps and Cloud Computing

Cloud computing has become ubiquitous in today’s fast-paced business environment. When you combine this dynamic technology with DevOps culture, your business transforms in real-time. With benefits like on-demand scalability, quicker run times, consistent codes, and high-performing apps, this game-changing combination can empower your business to become more agile, responsive and swift.…

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Added by Ryan Williamson on September 18, 2020 at 3:30am — No Comments

CALL SYMPUT in SAS Explained with Examples

CALL SYMPUT and CALL SYMPUTX



CALL SYMPUT and CALL SYMPUTX in SAS are the most commonly used DATA Step call routines to interact with the Macro Facility in SAS. Both are used to assign a value of DATA step to a macro variable.

SYNTAX:

CALL SYMPUT(macro-variable, value);



Arguments are macro-variable and can be one of the following items:

  • a character string that is a SAS name, enclosed in quotation…
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Added by Subhro Kar on September 17, 2020 at 7:30pm — No Comments

8 Smart Ways To Become A Data Scientist

Data Science has been coined everywhere, and everybody wants to express their views and thoughts on this subject even though they are a novice or lack adequate knowledge about data science! The idea that everyone can become a data scientist only by studying a few technological advances and solving any complicated problems cripples the world today. 

Let us first understand the career perspectives of data…

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Added by sairam on September 17, 2020 at 7:30pm — No Comments

Stumped by Bayes' Theorem? Try This Simple Workaround

Bayes' Theorem formula.

Bayes' Theorem, which The Stanford Encyclopedia of Philosophy calls "...a simple mathematical formula" can be surprisingly difficult to actually solve. If you struggle with Bayesian logic, solving the "simple"…

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Added by Stephanie Glen on September 15, 2020 at 11:29am — No Comments

IoT’s Purview on Current Environmental Conditions

No matter how latest the technology is, it is often blamed responsible for the current environmental issues from internal engine combustion to electronic wastes. Typically, we don't associate high-end technologies with environmental sustainability. However, in the right hands and right applicability, technologies like AI and IoT hold great potential…

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Added by Sanjeev Verma on September 14, 2020 at 4:00am — No Comments

Weekly Digest, September 14

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.  

Announcements…

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Added by Vincent Granville on September 13, 2020 at 1:30pm — No Comments

4 Steps to Building a Video Search System

Image for post

As its name suggests, searching for videos by image is the process of retrieving from the repository videos containing similar frames to the input image. One of the key steps is to turn…

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Added by Kate Shao on September 11, 2020 at 10:30pm — No Comments

Studying Risk-based Algomorphology Using Thunderbird Charts

I recently wrote about a stock trading approach that I call skipjack: it allows the user to trade directly from special charts by exploiting skipjack waveforms and formations.  I mentioned that I use an application - a simulation environment - to trade from these charts.  Below I present a screenshot of SimTactics, the application that I created to support this simulated trading.  To the right is a notepad containing four trades generated by an autopilot…

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Added by Don Philip Faithful on September 11, 2020 at 4:29pm — No Comments

The Simple Easy Solution for Eliminating Bias from Models

Summary: This is a discussion of social injustice, real or perceived, promulgated or perpetuated by machine learning models.  We propose a simple solution based on wide spread misunderstanding of what ML models can do.

 

This is a discussion of social injustice, real or perceived, promulgated or perpetuated by…

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Added by William Vorhies on September 11, 2020 at 1:38pm — No Comments

6 Most Important Data Science Skills

Data science is a collective pool of various algorithms, tools, machine learning principles that work in unison to extract hidden patterns from raw data. It requires a diverse set of skills and demands knowledge from aspects of mathematics, science, communication, and business. Honing a diverse skill set, data scientists gain the ability to analyze numbers and influence decisions.

The core objective of data scientists lay in bridging the gap between numbers and actions by using the…

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Added by Niranjan on September 11, 2020 at 12:30am — No Comments

5 Challenges To Be Prepared For Before Scaling Machine Learning Models

Machine Learning (ML) models are designed for defined business goals. ML model productionizing refers to hosting, scaling, and running an ML Model on top of relevant datasets. ML models in production also need to be resilient and flexible for future changes and feedback. A recent study by Forrester states that improving customer experience, improving profitability & revenue growth as the key goals organizations plan to achieve specifically using ML initiatives.

Though gaining…

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Added by Raghavendra Singh on September 10, 2020 at 12:00pm — No Comments

What is the connection between AI, Cloud-Native and Edge devices?

 

I was asked this question: What is the connection between AI, Cloud-Native and Edge devices?

  

On first impressions, it sounds like an amalgamation of every conceivable buzzword around - but I think there is a coherent answer which points to a business need. 

 

Let us…

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Added by ajit jaokar on September 10, 2020 at 10:32am — No Comments

MicroMasters: The Fast Way to Get Into Data Science

If the prospect of earning a masters degree in data science sounds too daunting (and expensive), then a MicroMasters  might be a good fit for you. A MicroMasters is a "mini" masters degree, typically comprised of four courses. The courses are offered at a fraction of the cost of a typical masters program (around a tenth of the cost), so are a great way to wet your feet and see if data science is right for you.

I'm actually enrolled in the MIT MicroMasters program…

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Added by Stephanie Glen on September 9, 2020 at 8:30am — 1 Comment

Remarketing: Strategically Targeting Your Customers

Remarketing is how you connect with people who have earlier interacted with your Site or mobile app. Although the word is used interchangeably with retargeting, both denote different plans of action. Retargeting is a sub-discipline of remarketing and is only about serving online or offline ads to potential customers based on cookies.…

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Added by Hemant Warudkar on September 7, 2020 at 9:30pm — No Comments

Weekly Digest, September 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.  

Featured Resources and Technical…

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Added by Vincent Granville on September 6, 2020 at 1:00pm — 1 Comment

Nearly 33 Years Later, Nobody Knows What Triggered the Crash of 1987

I opened my first stock trading account shortly after I landed my first full-time job in 1987 - the same year as the great stock market crash - also known as Horrible Monday.  (I renamed Black Monday in keeping with the times.)  I dropped out of university to "find myself."  It seemed so easy working at an office-supplies retailer: putting supplies in the stockroom; filling the store shelves with merchandise; and handling the cash register.  It all made sense,…

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Added by Don Philip Faithful on September 6, 2020 at 8:30am — 2 Comments

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