List of Machine Learning Algorithms Used to Train the Google Search Engine- TutorsIndia.com

1. List of Machine Learning Algorithms used to Train the Google SearchEngine An Academic presentationby Dr. Nancy Agens, Head, Technical Operations,TutorsIndia Group www.tutorsindia.com Email:info@tutorsindia.com

2. Today'sDiscussion OUTLINE Introduction Google’s Machine Learning Algorithms Google's Launches,Upgrades Panda Penguin Pirate Exact match domain(EMD) Hummingbird Pigeon Mobile-Friendly Update RankBrain Possum Fred

3. InBrief You will find the best dissertation research areas/topics for future researchers enrolled in Computer science & Engineering. In order to identify future research topics, we have reviewed the machine learning algorithm. (recent peer-reviewed studies). First, this article gives you an idea about how the technology can change our lifestyle. Then, this article provides you latest updates on google algorithm.

4. When we first heard about artificial intelligence (AI) and machine learning (ML) techniques, it was quite fascinating andscary. But once we got it figured out, we understood how the technology can change our lifestyle. Introduction Machine learning is a program developed forproblem-solving and it uses mathematical functions to generate asolution. Artificial intelligenceis the science, underlying the development of systems which either have or tend to have, human-like knowledge and similarly interpretinformation. Students can also assistance with dissertation writing help on machine learningalgorithm.

5. Google’s Machine LearningAlgorithms and Their Updates Google's algorithms are complicated group of frameworks used for obtaining data from its searchindex. Using a mixture of algorithms and multiple ranking signals, the search engine delivers web pages ranked by significance on its search engine results pages(SERPs). Sometimes, the search engine periodically rolls out significant algorithmic updates which have a huge effect onSERPs. Also, get assignment writing help on artificial intelligence and google algorithm in a highquality.

6. Panda Penguin Pirate Google's Launches, Upgrades, and Refreshments Algorithms Exact match domain (EMD) Hummingbird Pigeon Mobile-Friendly Update RankBrain Possum Fred

7. Google Panda is a machine learning algorithmutilized to allocate a content quality score to website pages as well as down-rank the websites with thin content, spammy or low-quality. Panda The Google's Panda Update is a search filter that stop websites with poor content from accessing Google's top searchresults. The word panda derives from Navaneet panda, a Google developerwhocreated this software and it was launched in February 24,2011.

8. Penguin updates launched in Apr 24,2012and this updates deal with the quality of thelinks. Penguin The objective of the penguin updates is to find down-rank websites with abnormal connection profiles, which spam the search outcomes by utilising manipulative linkstrategies. The penguin was designed to address a severe flaw in Google's framework that allowed a large number of low-quality links and keyword over-optimization of pages to ' trickle ' theiralgorithm.

9. Google's Pirate Update was designed to avoid the websites which have received multiple allegations of copyright violation from being well ranked in Googlesearches. Pirate The large percentage of impacted websites are fairly large and well- known sites which rendered illegal content like books, music or movies available free of charge to users, especially torrentwebsites. The Google pirate update launchd in Aug2012.

10. Google launched the EMD update in Sep2012. Exact match domain(EMD) Exact Match Domains updates are a new filter, designed to avoid certain low-quality websites . Damaged websites, even from good brand identity and elevated quality content are lessanticipated. After the EMD update, top ranked poor quality websites are totallyremoved.

11. Google Hummingbird is a big algorithm shift which involves interpreting search results especially longer, verbal searches as well as delivering search results. Hummingbird Hummingbird gives understanding of the intention and contextual significance of terms utilized in a query. The word Hummingbird derives for being "accurate and speed". It has been launched in Aug22,2013.

12. The Pigeon Update offers more specific search results for users who are looking for local responses to theirquestions. Pigeon The update is intended to improve the local listingrankings in anexploration. This update yields results depending on the location of the user as well as listing the accessibility in the localdatabase. The Pigeon update launched in July24,2014.

13. Mobile-Friendly update launched in Apr21,2015. Mobile-Friendly Update Mobilegeddon is the title offered by the web developersand webmasters. Google's Mobile-Friendly Update is intended to give sites which exhibit well on smartphones as well as other portable devices more considerablesignificance. When accessed from a mobile, the algorithm will display mobile friendly sites with a higherpriority.

14. RankBrain is an artificial intelligence (AI) machine learning program that lets Google fully grasp the significance behind the questions and offer users with the best possible searchresults. RankBrain In addition, it helps in rating websites. Google also stated that the RankBrain ranking algorithm is the third most significant element in Googleupdates. RankBrain is launched in Oct26,2015.

15. The possum update is launched in Sep1,2016. Possum is an upgrade to Google's local search ranking algorithm, which determines which businesses can turn up in local search results, often keeping company listings out of searchoutcomes. Possum Business websites with identical addresses having a virtual address, where specific businessare screened out of the top Google search results to avoidduplicates. Possum update's primary motivation is to broaden the local results and severely end spammyactivities.

16. Google Fred was a sequence of updates which took place in March2017. Fred Google Fred has had a significant influence on website rankings globally forGoogle. It is an update to an algorithm aimed at black-hattechniques. It assigns websites with lots of monetized content and black hat techniques a lowerrank.

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