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IoT for Logistics Industry: How It Promises to Solve Major Problems

devices are going to number around 75.44 billion by 2025. The increase in IoT based technology and development support has influenced many fields to start implementing IoT based technology and devices in their business operations.

Logistics Industry: The Evergreen Industry of All

The logistics industry is the one that is always booming. According…

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Added by Shady Johnson on November 4, 2019 at 2:31am — No Comments

The global market demand For AI in IoT is Growing Worldwide…

Artificial Intelligence in IoT Market: 

AI plays a significant role in monitoring, production development, industrial applications, and analytics, among others in several business environments. Further, with the rising number of IoT-based devices, the need to effectively process the enormous real-time data generated from connected devices to reduce downtime and maintain costs drive demand in the AI in IoT market. The two technologies together are projected to offer…

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Added by Kirthy Patel on November 4, 2019 at 1:30am — No Comments

Fintech Glossary for the Layman

In one infographic. 

Added by surendra kumar meena on November 4, 2019 at 12:30am — No Comments

Weekly Digest, November 4

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…

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Added by Vincent Granville on November 3, 2019 at 11:00am — No Comments

Free 2,900-page Manual about Pandas

Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

Hexagonal binning with Hexbin: extract from the Visualization chapter

This reference is available…

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Added by Capri Granville on November 3, 2019 at 10:00am — 1 Comment

Best 2019 Paper Awards in Computer Vision

The IEEE International Conference on Computer Vision received 4,303 papers and accepted 1,075 for the 2019 summit. Bellow is the best paper award.

Source: see paper listed below…

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Added by Capri Granville on November 3, 2019 at 10:00am — No Comments

Math of Deep Learning: Free Chapter from 832-page eBook

The title of the eBook is Dive in Deep Learning. Below I list the content of chapter 16, dealing with the math of deep learning. But the whole book (entirely free) is worth reading. This is an interactive deep learning book with code, math, and discussions. It is based on the NumPy interface.

Authors

  • Aston Zhang, Amazon Senior Scientist, UIUC Ph.D.
  • Zack C. Lipton, Amazon Scientist, CMU Assistant Professor, UCSD Ph.D.
  • Mu Li,…
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Added by Capri Granville on November 3, 2019 at 10:00am — No Comments

Linear regression in Python: Using numpy, scipy, and statsmodels

The original article is no longer available. Similar (and more comprehensive) material is available below. 

Example of underfitted, well-fitted and overfitted models

Content

Regression

  • What Is…
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Added by Vincent Granville on November 2, 2019 at 2:32pm — No Comments

New Theory Cracks Open the Black Box of Deep Learning

This article was written by Natalie Wolchover.

 Even as machines known as “deep neural networks” have learned to converse, drive cars, beat video games and Go champions, dream, paint pictures and help make scientific discoveries, they have also confounded their human creators, who never expected so-called “deep-learning”…

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Added by Andrea Manero-Bastin on November 1, 2019 at 5:30am — No Comments

Thursday News, October 31

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

Resources

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Added by Vincent Granville on October 31, 2019 at 10:00am — No Comments

Unsupervised Learning Algorithms in One Picture

Unsupervised learning algorithms are "unsupervised" because you let them run without direct supervision. You feed the data into the algorithm, and the algorithm figures out the patterns.  The following picture shows the differences between three of the most popular unsupervised learning algorithms: Principal Component Analysis,…

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Added by Stephanie Glen on October 31, 2019 at 7:43am — No Comments

Bridging the Digital Divide

Why is data so important?

Despite being about as prevalent as electricity, it can be difficult to adequately explain how critical data is to the modern world. From business operations to tackling the environmental crisis, data is the key to unlocking insight and developing intelligent solutions across every sector. Although Big Data has been in the news for at least a couple of decades, other types of data are now getting air time as well. Open…

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Added by Lewis Wynne-Jones on October 31, 2019 at 5:30am — No Comments

How is Blockchain Enhancing the Customer Experience?

What started as a simple digital payment solution has morphed into a phenomenon with impressive valuations. The Blockchain technology has entered into different business verticals and reinvented their traditional processes, alongside providing them solutions to mitigate prevailing challenges. 



One such domain where the scope and use of Blockchain remained unnoticed is Customer…

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Added by Bhupinder Kour on October 31, 2019 at 4:00am — No Comments

Women Nearly a Third Less Likely to Ride Uber Than Men…Despite What They Tell Their Friends

Datorium today released results from a recent study comparing popular ride-hailing apps Uber and Lyft among US consumers. Among its findings, critical differences were shown between genders, with notable differences between peer recommendations and actual purchases.

Women love Lyft, Men love Uber…

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Added by Cameron Turner on October 30, 2019 at 2:00pm — No Comments

Recorded workshop from Kings College London: AAD, Backpropagation and Machine Learning in Finance

Automatic Adjoint Differentiation (AAD) and back-propagation are key technologies in modern machine learning and finance. It is back-prop that enables deep neural networks to learn to identify faces on photographs in reasonable time. It is AAD that allows financial institutions to compute the risks of complex derivatives books in real time. The two technologies share common roots.

See the AAD book here:…

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Added by Antoine Savine on October 30, 2019 at 7:00am — No Comments

The Many Ways in Which SharePoint Helps Automate Business Processes

Running a business is no easy task, for there are far too many that need to be done and managed every single day. And the thing is that a significant chunk of these daily duties involves processes that are not only mundane but also repetitive in nature. It is especially true in the context of documentation and management of similar assets. Nonetheless, they must be tended to fairly regularly, if not every single day, to make sure that the business continues to move as it is intended to be.…

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Added by Ryan Williamson on October 30, 2019 at 2:00am — No Comments

Four AI Ethics Issues To Confront Right Now

Machine learning is not a new tech development, but the ethical issues artificial intelligence presents are at their most historically pressing moment. There are multiple ethical questions to confront, including the four most prevalent below.

1. Privacy Is The End Of An…

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Added by Emily Smith on October 29, 2019 at 11:00am — 1 Comment

Top Three Online Data Science Courses for 2020

Businesses generate data from different sources such as text files, multimedia forms, Internet of Things (IoT) devices, social media, and, mobile. Data is being used in various domains such as marketing, social media, healthcare, automation, sales, predictive analysis, etc.

However, the simple Business Intelligence (BI) tools cannot process the humongous data. The advanced analytical tools and algorithms for processing and analyzing can help to draw actionable insights out of…

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Added by Yoey Thamas on October 29, 2019 at 12:44am — No Comments

Detecting Hidden Fraud Risk from Public Data

by Hudson Hollister

Detecting which of the federal government’s millions of contracts most likely involve fraud used to require insider access to agencies’ IT systems. Data analytics provides greater efficacy and higher hit rate than traditional investigative methods – and now can even be performed using only public…

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Added by Paul Derstine on October 28, 2019 at 11:30am — No Comments

Contextually Intelligent NLP Assistants – AI’s Next Big Technical Challenge

Summary:  Contextually intelligent, NLP-based interactive assistants are one of the next big things for AI/ML.  The tech is already here from recommendation engines.  The need to be more efficient and to become AI-augmented in our decision making is now.  Getting the contextual awareness is the hard part.

 …

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Added by William Vorhies on October 28, 2019 at 9:43am — No Comments

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