Ranking Search Results using Machine Learning
- 3.2
-
![]()
![]()
![]()
Brief Introduction
Ranking Search Results using Machine Learning models like LAMBDAMART, LAMBDANET, RANKNETDescription
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.
Requirements
- Requirements
- Students will need to Python 3, Elastic Search and Machine Learning before starting this course
Evergreen Technologies
3.2 Raiting
Machine Learning and Data Science Hands-on with Python and R
- 3.9
-
![]()
![]()
![]()
![]()
![]()
Machine Learning, Statistics, Python, AI, Tensorflow, AWS, Deep Learning, R Programming, NLP, Bayesian, BI and much more Learn by doing. Full Lifetime Access....
Python Loops and Looping Techniques: Beginner to Advanced
- 4.7
-
![]()
![]()
![]()
![]()
![]()
Master For Loops, While Loops, Nested Loops, and Advanced Looping Techniques in Python (+Projects and Exercises) Master Loops and Looping Techniques to Take Your Python Skills to the Next Level....
BEST of Digital Marketing: #1 Digital Marketing Course 2021
- 4.4
-
![]()
![]()
![]()
![]()
![]()
BEST of SEO, Digital Marketing & Social Media 2021: ULTIMATE PRO Edition. Be a Digital Marketing Consultant. Learn FAST. Dear Students,...
BEST of SEO: #1 SEO Training & Content Marketing Course 2021
- 4.6
-
![]()
![]()
![]()
![]()
![]()
BEST of Search Engine Optimisation 2021: ULTIMATE PRO Edition. Become a SEO, Content Marketing & Copywriting Consultant. Dearest Student, I've spent years developing and testing out these strategies....
