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AI Mastery: Recommendation Engines Unleashed
Udemy MOOC / Non-credit 0

AI Mastery: Recommendation Engines Unleashed

About this course

Welcome to the cutting-edge course on "AI Mastery: Recommendation Engines Unleashed". This comprehensive program is meticulously crafted to equip participants with the knowledge and skills needed to master the intricacies of recommendation engines. Whether you are a data enthusiast, aspiring data scientist, or industry professional seeking to enhance your AI expertise, this course promises a transformative learning experience.Course Overview: In this journey through recommendation engines, you'll delve into the core principles, algorithms, and practical applications that power personalized content suggestions. From understanding collaborative filtering to building sophisticated book and movie recommendation systems, each section is designed to deepen your expertise in this dynamic field.What Sets This Course Apart:Hands-On Projects: Immerse yourself in real-world projects, including building a Book Recommender and an Advanced Book Recommender, ensuring practical application of acquired knowledge.Comprehensive Coverage: Cover the fundamentals, advanced techniques, and even transition seamlessly from book to movie recommendation engines.Industry-Relevant Skills: Gain insights into the latest tools, techniques, and best practices used in the industry, ensuring your skills are up-to-date and aligned with current trends.Section 1: Recommendation Engine - BasicsIn this foundational section, participants will be introduced to the basics of recommendation engines. Starting with an insightful project overview, Lecture 2 delves into the collaborative filtering technique. Lectures 3 to 7 guide learners through setting up the Anaconda environment, downloading datasets, creating a Surprise Data frame, implementing cross-validation models, and making accurate train-test predictions. Lecture 8 concludes the section by

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What you'll learn

  • understand the core principles of recommendation engines
  • implement collaborative filtering techniques
  • build both basic and advanced recommendation systems
  • apply industry-best practices in AI
Machine Learning #python #machine learning #predictive modeling #data analysis #data science #anaconda #cross-validation #collaborative filtering #recommendation engines #surprise
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List price $99.99. Udemy runs frequent sales, so the checkout price is usually far lower. We do not receive the live sale price, so we do not guess it — open the course to see today's.

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