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Using Python and R to Load Relational Database Tables, Part II

Last time I wrote on using Python/Pandas as an adjunct to loading PostgreSQL tables. In this sequel, I demo how R can be used to collaborate with the database in…

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Added by steve miller on August 8, 2019 at 6:22am — No Comments

Breaking the HDFS Performance Barrier; An Object Storage First

By Siddartha Mani, MinIO

Few would argue with the statement that Hadoop HDFS is in decline. In fact, the HDFS part of the Hadoop ecosystem is in more than just decline - it is in freefall. At the time of its inception, it had a meaningful role to play as a high-throughput, fault-tolerant distributed file system. The secret sauce was data locality. 

By co-locating compute and data on the same nodes, HDFS overcame the limitations of slow network access to…

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Added by Jonathan Symonds on August 6, 2019 at 1:03pm — No Comments

3 Ways data visualization will advance and impact users

The term ‘data visualization’ was coined a couple of years ago. But storytelling finds its roots in the earliest of times. Using characters, events, event sequences, locations, time periods, emotions, numbers, etc., storytelling has always fascinated the humankind.



Today, data visualization narrates events, causes & consequences…

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Added by Bhushan Patil on August 6, 2019 at 5:00am — No Comments

50 Successful Blockchains Applications

This article was written by Matteo Gianpietro Zago.

 When talking about blockchains, we commonly think of its applications in the future. “Blockchain will solve this, blockchain will achieve that”. It’s easy to forget that blockchains are already deployed in the wild.

Pick an…

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Added by Andrea Manero-Bastin on August 6, 2019 at 5:00am — No Comments

Diabetes Prediction with Ensemble Techniques

Till your good is better and better is best!

ENSEMBLE

Yes, the above quote is so true. We humans have ability to rate things and find some or the other matrices to measure things and evaluate them or their performances. Similarly, in Data Science you can measure your model’s accuracy and performance! The very first model that you build, you can set its matrices from the results and these matrices become your…

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Added by Neeraj on August 6, 2019 at 4:30am — No Comments

Data-science-related careers and what it takes to succeed in this sphere?

To begin with, data scientists are professionals in the field of information mining, collecting, and analyzing. Since these people solve existing and potential problems in the companies of any kind, they are highly appreciated on the market.

I suppose you already know this. Maybe, you even work in data science but want to develop in your sphere. Then check out the following.…

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Added by Josh Thompson on August 5, 2019 at 7:30am — No Comments

Automated Machine Learning for Professionals - Updated

Summary: As the Automated Machine Learning (AML) movement got underway a few years back there was an early branch between proprietary platforms and open source platforms.  In this article we’ll update you on leading open source AML tools.  Since they continue to require fluency in Python or R we label them “professional”.

 …

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Added by William Vorhies on August 5, 2019 at 7:11am — No Comments

Machine Learning in Hospitals: Easing Wait Times in the ER

Like many emergency rooms in the United Kingdom, the A&E department at Salford Royal NHS Foundation Trust, Greater Manchester, faces high congestion. This results in treatment delays and access issues. The Data Science team at the Northern Care Alliance (NCA) National Health Service (NHS) Group of hospitals is implementing support mechanisms to ease wait times, using machine learning and regression to…

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Added by Stephanie Glen on August 5, 2019 at 5:29am — 1 Comment

Value Engineering: The Secret Sauce for Data Science Success

The business, economic and social good that can be delivered courtesy of data science is almost unbounded; it has the potential to improve healthcare, public safety, transportation, education, environment, manufacturing, communities and the overall quality of life. If what your organization seeks is to exploit the potential of data science to power your business models; then your next question is “How do I achieve that?”  And that’s the topic of…

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Added by Bill Schmarzo on August 5, 2019 at 4:07am — No Comments

Weekly Digest, August 5

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 August 4, 2019 at 1:00pm — No Comments

Tensorflow 2.0 coding workshop notebooks

At our meetup Data Science for Internet of Things, Dan Howarth conducted a workshop on tensorflow 2.0
we plan to…
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Added by ajit jaokar on August 4, 2019 at 12:30pm — No Comments

Social-Organizational-Institutional Versus Market Devaluation

In Ontario, there has been a push for education to become more “monetizeable.”  The education that people receive should better reflect the needs of the market.  This is actually a challenging proposition - even if people are entirely in agreement - given the elusive nature of the market.  I am a big market proponent myself.  This has led me to question where or not my undergraduate degree has any commercial value at all.  I have a degree in environmental studies.  My thesis was on the…

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Added by Don Philip Faithful on August 4, 2019 at 6:18am — No Comments

Difference between Gradient Descent and Newton-Raphson

Below are some extracts from an interesting Quora discussion on this topic.

Quotes:

  • The gradient descent way: You look around your feet and no farther than a few meters from your feet. You find the direction that slopes down the most and then walk a few meters in that direction. Then you stop and repeat the process until you can repeat no more. This will eventually lead you to the valley!
  • The Newton way: You look far away.…
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Added by Paolo Lulli on August 3, 2019 at 10:30am — 2 Comments

Machine Learning has Significant Potential for the Manufacturing Sector

Since the start of the renaissance era, technology started to take over the lives of the humans and to gown to greater heights in the coming decade with completely replacing man from few spots in terms of the manual work or heavy work, they most influenced sector was the industrial sector. Since, it’s more oriented to the manual work which has rapidly changed the face of the industrial sector.

But now when the machines already captured most of the manual workspaces from man, now they…

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Added by Packt Publishing on August 2, 2019 at 3:15am — No Comments

Data Quality Maintenance

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Added by Frank Raulf on August 2, 2019 at 12:00am — No Comments

The Best Way to Get Started with Artificial Intelligence

Artificial intelligence is touted to be one of the most impactful trends of businesses today. Around 73% of global consumers said that they are willing to adopt AI provided it makes their life easier. The applications of AI have become a crucial part of our lives, whether we believe it or not.

From booking a trip online to receiving a book…

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Added by Yoey Thamas on August 1, 2019 at 9:40pm — No Comments

Thursday News, August 1

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

Technical Resources

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Added by Vincent Granville on August 1, 2019 at 1:30pm — No Comments

Why Every Data Science Aspirant Should Learn Data Visualization

[Image Source - Freepik]

Ever wondered how most of the fastest-growing jobs in the tech sector today were not even existing a few years ago. It is surveyed that the employees are worried about the skill gap, which is restricting them from shifting to companies which offer better skill development initiative.…

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Added by Dave Jarvis on July 31, 2019 at 8:56pm — No Comments

R-CNN, Fast R-CNN, Faster R-CNN, YOLO — Object Detection Algorithms

This article was written by Rohith Gandhi.

Introduction

Computer vision is an interdisciplinary field that has been gaining huge amounts of traction in the recent years(since CNN) and self-driving cars have taken centre stage. Another…

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Added by Andrea Manero-Bastin on July 31, 2019 at 11:00am — No Comments

What is “The Art of Thinking Like a Data Scientist” Workbook and Why It Matters

For over 3 decades, my passion has been to assist organizations leverage the business potential of data and analytics and help them envision where and how data and analytics can generate new sources of customer, product and operational value. Maybe my fascination with data and analytics started in my youth with “Strat-o-Matic Baseball” but it certainly caught fire at Metaphor Computers in the 1980’s…

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Added by Bill Schmarzo on July 31, 2019 at 10:24am — 3 Comments

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