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Featured Blog Posts – November 2019 Archive (68)

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

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

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

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