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ML Recommendation System – Increase Your Revenue Multi-Fold with the right tools

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Machine learning has the potential to change business growth trajectory to a neck-breaking incline. Machine learning utilizes the power of pattern recognition through available data to make predictions of what else the user may like. The inclusion of this new technology can help businesses save significant costs while increasing their revenue 10-fold.  

MoogleLabs Latest Webinar: ML Recommendation System – Increase Your Revenue Multi-Fold with the right tools presented by Atirek Gupta and Nikhil Sharma, two skilled AI/ML Engineers will cover the topic in detail. 

The event is a must-attend for all, including AI/ML Engineers, and business owners who want to understand the technology before they start leveraging it to help their businesses grow significantly.  

Live Webinar: ML Recommendation System – Increase Your Revenue Multi-Fold with the right tools 

 

𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗯𝗶𝗻𝗮𝗿  

𝟭. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗮 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗲𝗻𝗴𝗶𝗻𝗲?   

𝟮. 𝗧𝘆𝗽𝗲𝘀 𝗼𝗳 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗲𝗻𝗴𝗶𝗻𝗲.

  • Collaborative Filtering   
  • Content-based Filtering   
  • Hybrid Filtering   

 

𝟯. 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀    

  • How companies like Big Basket, Netflix, Amazon, and other tech biggies are using Recommendation engines on their online platforms.  

 

𝟰. 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗯𝘆 𝗠𝗼𝗼𝗴𝗹𝗲𝗟𝗮𝗯𝘀   

  • How recommendation engine is improving job portals?   
  • How do recommendation engines increase sales of e-Commerce platforms?   

We encourage you to watch the live session recording on YouTube and share your thoughts and questions in the comment section below. Additionally, if you need any assistance with NFT, AI, ML, DevOps, Blockchain, Metaverse, Web 3.0, or Data Science services, feel free to reach out to us. We are here to help you decode innovation and achieve greatness!

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About the Author

author

Atirek Gupta

AI/ML Engineer

Hello, I am Atirek, an AI enthusiast passionate about developing futuristic machine learning and deep learning models by leveraging the power of data. Primary focusing on development, conceptualization, visualization, and technology evolution, I specialize in NLP, NLU, NLG, Recommendation Engines, and Chatbots. My leisure time is filled with physical activities, including soccer or hitting the gym..