Ranking Search Results using Machine Learning

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.