Ranking Search Results using Machine Learning (Udemy.com)

Ranking Search Results using Machine Learning models like LAMBDAMART, LAMBDANET, RANKNET

Created by: Evergreen Technologies

Produced in 2021

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What you will learn

  • At the end of my course students will be able to use the machine machine learned models to search and rank large dataset of documents
  • At the end of my course students will be able to configure search engine to use Machine Learning
  • At the end of my course students will be able to configure search engine to collect features

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Quality Score

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Overall Score : 64 / 100

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Course Description

Course Description
Learn ranking search results with the machine learning and popular programming language Python and Elastic Search.
Build a strong foundation in Machine Learning with this tutorial for intermediate programmers.
  • Understanding of Search Ranking
  • Leverage Machine Learning to rank search results
  • Use PyCharm and Python for programming
  • Use LAMBDAMART, LAMBDANET, RANKNET Machine Learning Algorithms for ranking Search results
  • Use RankLib to train ranking models
  • Use Learning To Rank Plug to configure and collect features
A Powerful Skill at Your Fingertips Learning the fundamentals of ranking search results puts a powerful and very useful tool at your fingertips. Python and Elastic Search are free, easy to learn, has excellent documentation.
Jobs in machine learning area are plentiful, and being able to learn ranking search results with machine learning will give you a strong edge.
Machine Learning is becoming very popular. Alexa, Siri, IBM Deep Blue and Watson are some famous example of Machine Learning application. Ranking search results is vital in information retrieval. Learning ranking search results with machine learning will help you become a machine learning developer which is in high demand.
Big companies like Google, Bloomberg, Microsoft, and Yahoo already using ranking search results with machine learning in information retrieval and social platforms. They claimed that using Machine Learning and ranking search results has boosted productivity of entire company significantly.
Content and Overview
This course teaches you on how to rank search results using open source Python and Elastic Search framework. You will work along with me step by step to build following answers
Introduction to Search Ranking
Introduction to Search Ranking using Machine Learning
Build an application step by step using Learning to Rank plug in, Elastic Search, Python and demo application from Open Source connections
Feature Engineering
Collect Features
Train Models
Evaluate Models
Learn use cases of ranking search results with machine learning

What am I going to get from this course?
  • Learn ranking search results and Machine Learning programming from professional trainer from your own desk.
  • Over 10 lectures teaching you ranking search results programming
  • Suitable for intermediate programmers and ideal for users who learn faster when shown.
  • Visual training method, offering users increased retention and accelerated learning.
  • Breaks even the most complex applications down into simplistic steps.

Note: Please note that I am using short documents in this example to illustrate concepts. You can use same code for longer documents as well.Who this course is for:
  • Intermediate search developer who are curious to learn about how to apply machine learning to solve real world search ranking problems.

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Instructor Details

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Over 20 years of experience in programming applications in Fortune 500 companies. I have written 2 books on software design patterns and performance tuning that are published on kindle, nook and ibooks. So far I have taught react.js, nunit, Chatbot , several courses on machine learning and design patterns. I have also been working in machine learning area for many years. My passion is leverage my years of experience to teach students in a intuitive and enjoyable manner.
I spent many years at fortune 500 companies, developing and managing the technology that automatically delivers product recommendations to hundreds of millions of customers, all the time. I have started my own successful company, Evergreen Technologies in 2019, which focuses on online education.
I am also available for technical consultation, resume screening and conducting technical interviews of candidates to expedite hiring.

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Reviews

3.2

5 total reviews

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By James Danavell

The teacher gives a comprehensive overview of the topic that is a really great accompliment to the LTR docs. I learnt so much about incorporating ML into elastic search. Thanks

By Mahesh Indana

Person works on already existing code;

By Lalit Vyas

It's a really good course covering from basics to the good level I would highly recommend this course.

Thanks!!

The teacher gives a comprehensive overview of the topic that is a really great accompliment to the LTR docs. I learnt so much about incorporating ML into elastic search. Thanks

Person works on already existing code;