Google on what’s important for 2017: Machine learning, AMP & structured data

Google on what’s important for 2017: Machine learning, AMP & structured data

  • And we’re kind of at the end of the year now and I was wondering if you have any of those to share.
  • The other thing is that there is a very strong push for AMP everywhere.
  • Was that one of the slides always gave, I guess, webmasters and SEOs what’s coming, like what the Google search quality team is looking into for the upcoming year.
  • Danny Sullivan: One thing, this isn’t, like this isn’t live.
  • Google on what’s important for 2017: Machine learning, AMP & structured data

We asked Google’s Gary Illyes what SEOs and webmasters should think about as this year closes.
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Top 10 Machine Learning Algorithms

Top 10 [or Top 55] #MachineLearning Algorithms:  #abdsc #BigData #DataScience #DataMining

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  • In 2006 , the IEEE Conference on Data Mining identified the top 10 ML algorithms as
  • Added by Tim Matteson 0 Comments 0 Likes
  • The algorithms are described in the article What you wont learn in statistics classes .
  • Algorithms from graph theory (to find the shortest path in a graph, or to detect connected components), from operations research (the simplex, to optimize the supply chain), or from time series, are not listed either.

Read the full article, click here.


@KirkDBorne: “Top 10 [or Top 55] #MachineLearning Algorithms: #abdsc #BigData #DataScience #DataMining”


This was the subject of a question asked on Quora: What are the top 10 data mining or machine learning algorithms?
Some modern algorithms such as collaborative…


Top 10 Machine Learning Algorithms