Reinforcement learning for Online Ad Serving with Multi Armed Bandits
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Reinforcement learning for Online Ad
Serving with Multi Armed Bandits

  • Deep Dive into the innovative intersection of machine learning and digital advertising,
    offering insights into how reinforcement learning can revolutionize ad serving strategies.

Created by Selva Prabhakaran

  • 14 Video Lessons

  • English

  • English captions

What you will learn

01

Understand basics of Reinforcement Learning (RL) and ad serving problem statement

02

Learn RL strategies to maximize clickthrough rates for ad serving

03

Basic to advanced implementations of Multi Armed Bandits

04

Explore Reinforcement Learning Algorithms

05

Hands on reproducible Python Codes

06

No prior knowledge of RL needed

Course Curriculum

Requirements

  • Courses Page1 Basics of Python
  • Courses Page1 Foundational knowledge of Data Science
  • Courses Page1 High school maths

Who should attend this course?

  • Data Science Aspirants

  • Data Science Professionals

  • Software/Data engineers interested in quantitative analysis

  • Professionals working with large datasets

  • Data analysts, economists, researchers

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

  • 4.5+Instructor rating

  • 200+ reviews

  • 75K+students

  • 50+ Courses

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