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Top Blockchain Emerging Trends You Need to Follow in 2020

Where will blockchain go in the coming new year 2020?

We’re on the edge of 2019. Isn’t this a great time to make predictions about blockchain – a revolutionary technology waiting to disrupt multiple industries.

2020 will be a year where most industries will be setting milestones to bring in the best development in their businesses.

You…

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Added by Yoey Thamas on November 5, 2019 at 1:00am — No Comments

Working with Control Breaks Data in R.

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Added by steve miller on November 4, 2019 at 9:04am — No Comments

Creating Autonomous Entities: Optimizing Systems of Subsystems

I continue to be infatuated with the potential of autonomous entities that self-monitor, self-diagnose, self-fix and self-learn without human intervention.  The vision of leveraging new digital technologies, growing reams of customer, product and operational data, and advanced analytics to create autonomous entities – farms, oil fields, factories, airports, theme parks, vehicles, ships, trains, etc. – seems like science fiction. 

Fortunately, the “3 Horizons of…

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Added by Bill Schmarzo on November 4, 2019 at 9:03am — No Comments

Credit Card Fraud Detection and Prevention: The Complete Guide

Ever since the payment systems existed, there were always people who would find sophisticated ways to get to someone’s finances illegally. It has become a major problem in the modern era when all transactions can easily be completed online with only entering your credit card information. Even in the 2010s quite a lot of American retail website…

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Added by Roman Chuprina on November 4, 2019 at 3:00am — No Comments

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

How to Detect Objects with Deep Learning on Raspberry Pi

This article was written by Sarthak Jain.

 The real world poses challenges like having limited data and having tiny hardware like Mobile Phones and Raspberry Pis which can’t run complex Deep Learning models. This post demonstrates how you can do object detection using a Raspberry Pi. Like cars on a road,…

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Added by Andrea Manero-Bastin on October 31, 2019 at 1:30pm — 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

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