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Recommendation systems are at the heart of almost every internet business today; from Facebook to Netflix to Amazon. Providing good recommendations, whether it's friends, movies or groceries; goes a long way in defining user experience and enticing customers to use your platform. This 3-day instructor-led course enables participants how to do just that! Students will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory; learners will get started with building and learning about recommenders as quickly as possible. Note: this is a skills-focused course that combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern "on-the-job" modern applied datascience, AI and machine learning experience into every classroom and hands-on project.

Target Audience
This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web.

What You'll Learn

  • Understand the different kinds of recommender systems
  • Master data-wrangling techniques using the pandas library
  • Building an IMDB Top 250 Clone
  • Build a content-based engine to recommend movies based on real movie metadata
  • Employ data-mining techniques used in building recommenders
  • Build industry-standard collaborative filters using powerful algorithms
  • Building Hybrid Recommenders that incorporate content-based and collaborative filtering

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  • Course Number TTAML
  • Course Length 3 days
  • Course Fee $2,395.00
  • Delivery Format vILT (Instructor Led; Virtual LIVE Online; Remote Training)
  • Course Topic Artificial Intelligence (AI), Machine Learning
  • Vendor Vendor-Neutral
  • Technology Python

Register for course: TTAML

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