Practical Recommender Systems For Business Applications in R

ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT BUILDING PRACTICAL RECOMMENDER SYSTEMS WITH R

Are you interested in learning how the Big Tech giants like Amazon and Netflix recommend products and services to you?

Do you want to learn how data science is hacking the multibillion e–commerce space through recommender systems?

Do you want to implement your own recommender systems using real–life data?

Do you want to develop cutting edge analytics and visualisations to support business decisions?

Are you interested in deploying machine learning and natural language processing for making recommendations based on prior choices and/or user profiles?

You Can Gain An Edge Over Other Data Scientists If You Can Apply R Data Analysis Skills For Making Data–Driven Recommendations Based On User Preferences

By enhancing the value of your company or business through the extraction of actionable insights from commonly used structured and unstructured data commonly found in the retail and e–commerce space

Stand out from a pool of other data analysts by gaining proficiency in the most important pillars of developing practical recommender systems

MY COURSE IS A HANDS–ON TRAINING WITH REAL RECOMMENDATION RELATED PROBLEMS– You will learn to use important R data science techniques to derive information and insights from both structured data (such as those obtained in typical retail and/or business context) and unstructured text data