Marketing Automation is Used to Its Full Capacity by Only 2% of B2B Marketers

Communigator has collaborated with Smart Insights to bring us their recent survey results in relation to Marketing Automation. For both B2B and B2C companies, Marketing Automation is a valuable tool. These survey results show how applications and attitudes have changed since a similar study from 2016.
1 in 8 businesses in 2019 is not using Marketing Automation, compared to 18% in 2016.

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What is Actionable Data Anyway?

Our office Wheel of Destiny is the most actionable of data. The results tell you where to go to lunch. No questions asked.
Actionable. Is there an adjective that is more fun to put in front of the word data? Perhaps big.I’m as guilty as anyone. After all, the third step in our data storytelling framework is Action.

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Hotels: Occupancy Rate Increased Slightly Year-over-year

From HotelNewsNow.com: STR: US hotel results for week ending 9 NovemberThe U.S. hotel industry reported positive year-over-year results in the three key performance metrics during the week of 3-9 November 2019, according to data from STR.In comparison with the week of 4-10 November 2018, the industry recorded the following:• Occupancy: +0.1% to 69.0%• Average daily rate (ADR): +1.9% to US$132.

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5 findings from O’Reilly’s machine learning adoption survey companies should know

New survey results highlight the ways organizations are handling machine learning’s move to the mainstream.As machine learning has become more widely adopted by businesses, O’Reilly set out to survey our audience to learn more about how companies approach this work.

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Fascinating Developments in the Theory of Randomness

I present here some innovative results from my most recent research on stochastic processes. chaos modeling, and dynamical systems, with applications to Fintech, cryptography, number theory, and random number generators. While covering advanced topics, this article is accessible to professionals with limited knowledge in statistical or mathematical theory.

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Two Recent Results in Transfer Learning for Music and Speech

In this post, I want to highlight two recent complementary results on transfer learning applied to audio — one related to music, another related to speech.
The first paper, related to music, is by Keunwoo Choi and friends, which incidentally also won the best paper award at ISMIR 2017. But that’s not the only reason why you should read it.

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Sample Efficient Evolutionary Algorithm for Analog Circuit Design

In this post, we share some recent promising results regarding the applications
of Deep Learning in analog IC design. While this work targets a specific
application, the proposed methods can be used in other black box optimization
problems where the environment lacks a cheap/fast evaluation procedure.

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How to Evaluate the Logistic Loss and not NaN trying

A naive implementation of the logistic regression loss can results in numerical indeterminacy even for moderate values. This post takes a closer look into the source of these instabilities and discusses more robust Python implementations.
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Learning to Rank Overview

How does a search engine rank the results that it returns?
How does a question and answering system select a final answer?
How does a translation system ultimately choose a translation for some text?
In the next few posts, we will gain insight into these questions by exploring a sub-domain of machine learning called Learning to Rank.

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Shared items

I left Facebook and
Twitter
more than 2 years go (with excellent results, I have to say), and due to being a
bit tired, I stopped publishing the Data
Links series. I miss a bit
being able to share quickly those articles that I think are worth it, in this
age of information overload, saturation, fake news, fake fake news, so-called
news and so on.

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