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Turn data into revenue. Wharton can show you how.

转载自:http://feedproxy.google.com/~r/kdnuggets-data-mining-analytics/~3/Mcr-9LxTVug/wharton-turn-data-into-revenue.html

Matt Mayo Editor


发表于 2018-11-06

Customer Analytics from Wharton Executive Education gives you an actionable plan to analyze your customer data by delving into specific collection methodologies and patterns for predictive behavior. Become empowered and learn how to make better decisions that can drive success throughout your company.

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Text Preprocessing in Python: Steps, Tools, and Examples

转载自:http://feedproxy.google.com/~r/kdnuggets-data-mining-analytics/~3/Sfk--k7Q9ts/text-preprocessing-python.html

Dan Clark


发表于 2018-11-06

By Olga Davydova, Data Monsters.

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Source and List: Organizing R Shiny Apps

转载自:http://feedproxy.google.com/~r/RBloggers/~3/fVgCzxVsCYM/

Kenith Grey


发表于 2018-11-06

Keeping R Shiny code organized can be a challenge. One method to organize your Shiny UI and Server code is to use a combination of R’s list and source functions. Another method to organize you’re Shiny code is through modularization techniques. Here though, we’re going concentrate on the list and source options.

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Data Science in 30 Minutes with Jake Porway of DataKind

转载自:https://101.datascience.community/2018/11/06/data-science-in-30-minutes-with-jake-porway-of-datakind/

Ryan Swanstrom


发表于 2018-11-06

This month, The Data Incubator is hosting another free webinar on data science. This time it features an interview with Jake Porway, founder of DataKind. Jake and DataKind are doing amazing things, so I hope you can check out the webinar.

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Building Surveillance System Using USB Camera and Wireless-Connected Raspberry Pi

转载自:http://feedproxy.google.com/~r/kdnuggets-data-mining-analytics/~3/aaSi3keCbT8/building-surveillance-system-usb-camera-wireless-connected-raspberry-pi.html

Ahmed Gad


发表于 2018-11-06

Surveillance System Using Raspberry Pi Connected to a USB Camera and a Circuit that Lights Led When Change Occurs

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Can we predict the crawling of the Google-Bot?

转载自:http://feedproxy.google.com/~r/RBloggers/~3/9xfp1V5U5Zk/

dschmeh


发表于 2018-11-06

Logfile analysis allows website owners a deep insight about how Google and other search engines crawl their pages. How often does a bot come by a page, which pages are rarely or not at all visited by the bots? For which pages does the bot get errors? All these and more questions can be answered by a log file analysis.

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Tesseract 4 is here! State of the art OCR in R!

转载自:http://feedproxy.google.com/~r/RBloggers/~3/UzVlmmGLo4k/

rOpenSci - open tools for open science


发表于 2018-11-06

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Using httr to Detect HTTP(s) Redirects

转载自:http://feedproxy.google.com/~r/RBloggers/~3/wxKlUc3x6B8/

petermeissner


发表于 2018-11-06

In this short note I will write about the httr package and my need to detectwhether or not an HTTP request had been redirected or not – it turns out this is quite easy. Along the way I will also show how to access information of an HTTP-conversation other than the actual content to be retrieved.

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Mastering the Learning Rate to Speed Up Deep Learning

转载自:http://feedproxy.google.com/~r/kdnuggets-data-mining-analytics/~3/gYssCU7Mj1E/mastering-learning-rate-speed-up-deep-learning.html

Matt Mayo Editor


发表于 2018-11-06

By Brandon Morris, Arizona State University

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Lifecycle configuration update for Amazon SageMaker notebook instances

转载自:https://aws.amazon.com/blogs/machine-learning/lifecycle-configuration-update-for-amazon-sagemaker-notebook-instances/

Erkan Tas


发表于 2018-11-06

Amazon SageMaker now allows customers to update or disassociate lifecycle configurations for notebook instances with the renewed APIs. You can associate, switch between, or disable lifecycle configurations as necessary by stopping your notebook instance and using the UpdateNotebookInstance API at any point of the notebook instance’s lifespan.

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