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November 2019 Blog Posts (97)

Making Sense of the Wild World of Hadoop PART II: Clustering

In my last blog I introduced us to Hadoop, which allows companies to process, store and analyze Petabytes, Exabytes and even Yottabytes worth of data. And not just the kind of data you’d find on a spreadsheet--Hadoop can handle a wide…

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Added by John Burke on November 6, 2019 at 4:00pm — No Comments

How to Create a Successful Data Strategy

With rapid advances in AI and data science, data has become an essential asset to every enterprise. Setting up a data strategy, therefore, has become every enterprise's mission, particularly in the C Suite and at Executive levels. What is a data strategy and how do we create the right data strategy? I would like to dedicate this article to answer these 2 questions.
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Before discussing data strategy, we need to understand what a strategy…
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Added by Stephanie Shen on November 6, 2019 at 1:30pm — No Comments

Resampling Methods: Bootstrap vs jackknife

Resampling is a way to reuse data to generate new, hypothetical samples (called resamples) that are representative of an underlying population. It's used when:

  • You don't know the underlying distribution for the population,
  • Traditional formulas are difficult or impossible to apply,
  • As a substitute for traditional methods.

Two popular tools…

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Added by Stephanie Glen on November 6, 2019 at 9:00am — No Comments

AIOT Summit - Personal Invitation

Dear colleague,

I would like to personally invite you to attend a unique and interesting conference: AIoT Dev Summit which I believe is an exciting step forward in Data Science and the application within AI/ML and IoT.  The summit will take place in California on December 2nd and 3rd and as my guest you will receive a $250 discount when combined with the early bird special if you…

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Added by Vincent Granville on November 6, 2019 at 7:30am — No Comments

Tool induced arbitrage opportunities, also, how to cut cakes.

How should an estimator be chosen?  The academic training of economists and finance professionals has traditionally favored the minimum variance unbiased estimator (MVUE).  Sometimes, the maximum likelihood estimator (MLE) is chosen.  From time to time, the method of moments (MOM) or the generalized method of moments (GMM) is used.  Because of its subjective nature, Bayesian methods are rarely used.

 

The problem with this hierarchy is that it is preference-based and ignores…

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Added by David Harris on November 5, 2019 at 8:30pm — No Comments

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

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 — 1 Comment

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 — 2 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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