Our Favorite Posts Of Last Week (May 06, 2018)
When It Comes To AI, Facebook Says It Wants Systems That Don’t Reflect Our Biases
But with the power of this technology–especially at the scale of Facebook and its 2 billion users–comes responsibility, says Facebook data scientist Isabel Kloumann, and particularly the need to mitigate against bias creeping into its AI systems.
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Keep Calm and train a GAN. Pitfalls and Tips on training Generative Adversarial Networks
Generative Adversarial Networks (GANs) are among the hottest topics in Deep Learning currently. There has been a tremendous increase in the number of papers being published on GANs over the last several months.
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Google Uses Machine Learning for Crawling, Indexing & Ranking
There has been plenty of speculation about just how much Google uses machine learning when it comes to the search algorithm, especially outside of RankBrain itself. During a recent Google Webmaster Office Hours, the role of machine learning in the algo came up.
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Devastating SEO fails from the front lines
Murphy’s law applies even to SEO: things will go wrong. We’ve written previously about what went wrong at our agency before we founded ContentKing and the kinds of SEO fails ContentKing catches on a daily basis.
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Job Demand for SEOs & Content Marketers Soars in 2018
When you were asked, “What do you want to be when you grow up?” very few of us answered “An SEO professional!” as children. Most of us “fell into” this industry somewhere along the way.
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A Gentle Introduction to the Central Limit Theorem for Machine Learning
The central limit theorem is an often quoted, but misunderstood pillar from statistics and machine learning. It is often confused with the law of large numbers.
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Top 5 GitHub Repositories and Reddit Discussions for Data Science & Machine Learning (April 2018)
GitHub and Reddit are two of the most popular platforms when it comes to data science and machine learning.
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[1804.09170] Realistic Evaluation of Deep Semi-Supervised Learning Algorithms
Full-text links: Download: (license) Bookmark (what is this?) Title: Realistic Evaluation of Deep Semi-Supervised Learning Algorithms Authors: Avital Oliver, Augustus Odena, Colin Raffel, Ekin D. Cubuk, Ian J.
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How to Use Correlation to Understand the Relationship Between Variables
There may be complex and unknown relationships between the variables in your dataset. It is important to discover and quantify the degree to which variables in your dataset are dependent upon each other.
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Jupyter receives the ACM Software System Award
It is our pleasure to announce that Project Jupyter has been awarded the 2017 ACM Software System Award, a significant honor for the project.
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Choosing the Right Metric for Evaluating Machine Learning Models – Part 1
In the world of postmodernism, Relativism has been, in its various guises, both one of the most popular and most reviled philosophical doctrines. According to Relativism, there is no universal and objective truth; rather each point of view has its own truth.
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Blockchain Explained in 7 Python Functions
comments By Tom Cusack, Data Scientist in the Banking Sector I think for many people out there, Blockchain is this phenomenon, which is hard to get your head around.
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