Our Favorite Posts Of Last Week (Apr 01, 2018)
An introduction to HTTP/2 & Service Workers for SEOs
Upcoming SlideShare Loading in …5 × An introduction to HTTP/2 & Service Workers for SEOs 1. An introduction to HTTP/2 & Service Workers for SEOs @TomAnthonySEO 2. EMAILS RUNNING OUT OF POWER 3.
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CatBoost vs. Light GBM vs. XGBoost
I recently participated in this Kaggle competition (WIDS Datathon by Stanford) where I was able to land up in Top 10 using various boosting algorithms.
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Anomaly Detection in Predictive Maintenance with Time Series Analysis
Most of the data science use cases are relatively well established by now: a goal is defined, a target class is selected, a model is trained to recognize/predict the target, and the same model is applied to new never-seen-before productive data.
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Neural Networks for Information Retrieval at ECIR 2018
Machine learning plays an important role in many aspects of modern IR systems, and deep learning is applied to all of those. The fast pace of modern-day research into deep learning has given rise to many different approaches to many different IR problems.
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I am John Mueller, Webmaster Trends Analyst at Google. AMA.
Hi Reddit! It's me - John :). I work as a webmaster trends analyst / developer advocate at Google, connecting the internal search engineering teams with the "real" world outside of Google. This is my first AMA on Reddit and I'm looking forward to your questions.
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The ultimate guide to controlling Crawling and Indexing
Search engines crawl billions of pages every day. But they index fewer pages than this, and they show even fewer pages in their results. You want your pages to be among them. So, how do you take control of this whole process and improve your rankings?
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User intent mapping on steroids16 min read
Until 5 years ago, nobody in SEO cared about User Intent. Then everything changed, and it became the prerequisite for SEO. Without fulfilling the right user intent, a page won’t rank.
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Deep Learning Book Series · Introduction
This content is part of a series following the chapter 2 on linear algebra from the Deep Learning Book by Goodfellow, I., Bengio, Y., and Courville, A. (2016). It aims to provide intuitions/drawings/python code on mathematical theories and is constructed as my understanding of these concepts.
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The Aggregate IQ Files, Part One: How a Political Engineering Firm Exposed Their Code Base
The UpGuard Cyber Team’s latest discovery of a data leak, involving the exposed IT assets of a data analytics firm based in British Columbia, Canada, presents significant questions for society about how technology can be used.
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Google Glossary: Revenge of Mega-SERP
The Google landscape is constantly changing. Two years ago, I created the Mega-SERP, and within days it was already outdated. This time, we've set out to create a more permanent glossary of Google features – a reference that we'll update as the SERPs (Search Engine Results Pages) change.
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Take-Aways from AMA with John Mueller on /r/TechSEO
I’m selfishly writing this blog post to have consolidated list of notes from things I found important in the AMA from John Mueller.. so formatting may not be beautiful, but there should be some diamonds! I’m going to post periodically with the updated info as I discover.
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Intuitively Understanding Variational Autoencoders
In contrast to the more standard uses of neural networks as regressors or classifiers, Variational Autoencoders (VAEs) are powerful generative models, now having applications as diverse as from generating fake human faces, to producing purely synthetic music.
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Rolling out mobile-first indexing
Today we’re announcing that after a year and a half of careful experimentation and testing, we’ve started migrating sites that follow the best practices for mobile-first indexing.
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The new Google AdWords interface is coming soon. Are you ready?
Google is gradually rolling out a new AdWords user interface. Word has it this change will be complete and available to everyone sometime in the first half of 2018.
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Start With Gradient Boosting, Results from Comparing 13 Algorithms on 165 Datasets
Which machine learning algorithm should you use? It is a central question in applied machine learning.
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Speakers of our Santa Clara, Global IoT Conference
Workshop Purpose: The goal is to illustrate the analysis of emotions as a technique to know and predict consumer behaviors and its application in fields such as marketing or the retail sector.
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How to automatically filter for suspicious Canonicals with Screaming Frog SEO Spider exports + Python Pandas
Python Pandas is super useful if you want to check the same specific things in your crawls over and over again. Just create a Python script and run it with a new Screaming Frog SEO Spider crawl.
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Understanding Feature Engineering: Deep Learning Methods for Text Data
Editor's note: This post is only one part of a far more thorough and in-depth original, found here, which covers much more than what is included here.
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Linear Algebra for Deep Learning
The concepts of Linear Algebra are crucial for understanding the theory behind Machine Learning, especially for Deep Learning. It gives you a better intuition for how algorithms really work under the hood, which enables you to make better decisions.
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Facebook Container Extension: Take control of how you’re being tracked
Our Multi-Account Containers extension has been a game changer for many users, letting them manage various parts of their online life without intermingling their accounts. To help Firefox users have more control of their data on Facebook, we’ve created the Facebook Container Extension.
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