Data Science and Recommender Systems with Andrew | 365 Data Use Cases
?? Follow Andrew's YouTube Channels:
✅https://www.youtube.com/channel/UC23emuGbNM7twofQIrEgPBQ
✅https://www.youtube.com/channel/UCiSw05R_PCiguUc6ahs_b1w
?? Find Andrew on Twitter:
✅https://twitter.com/dataleaptech
Hi everyone and welcome to the next episode of 365 Data Use Cases! In this series of super informative videos, we explore the diverse areas where data is widely used nowadays. Let's be honest, every industry relies on data for insights and strategies. But you'll be amazed how fascinating some of these cases are! This one is no exception!
?? Download Our Free Data Science Career Guide:✅https://bit.ly/2FIg8Fc
?? Sign up for Our Complete Data Science Training:✅https://bit.ly/37kHsF3
In this episode, our friend Andrew from DataLeap will share his favourite data use case – Recommender Systems!
Have you ever thought about the content you see online and why you see it? Well, Andrew has, and he will tell you all about how data models and algorithms recommend content when you do a Google or a YouTube search. He shares that “YouTube has an idea of what videos it can recommend to you based on your behavior and what kind of user you are similar to, based on your demographic and other information you’ve willingly shared". Curious, right? Watch the full video to learn how data science and recommendation systems determine what content is the most relevant to you!
??GET SPECIAL OFFER for 'The 365 Data Science Program'
✅https://bit.ly/37kHsF3
We will continue the series with plenty more exciting data use cases like this one.
Stay tuned!
0:00 | Intro
0:46 | Why do FAANG companies need recommender systems
1:42 | The YouTube Algorithm
2:26 | The King Regent of Recommendations: Google
2:50 | Recommendation system architecture
3:01 | Stage 1: Candidate generation
3:26 | Stage 2: Scoring
4:38 | Stage 3: Re-ranking
4:56 | Cool tips and resources from Andrew
??Follow us on YouTube
✅https://www.youtube.com/c/365DataScience?sub_confirmation=1
??Connect with us on our social media platforms:
✅Website: https://bit.ly/2FNrDve
✅Telegram: https://t.me/c365datascience
✅LinkedIn: https://www.linkedin.com/company/365datascience
✅Medium: https://medium.com/@365datascience
✅Twitter: https://twitter.com/365datascience
✅Facebook: https://www.facebook.com/365datascience
✅Pinterest: https://www.pinterest.com/365datascience/
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✅Instagram: https://www.instagram.com/365datascience
✅Q&A Hub: https://365datascience.com/qa-hub/
??Prepare yourself for a career in data science with our comprehensive program??
✅https://bit.ly/35klFuo
Get in touch about the training at:
support@365datascience.com
Comment, like, share, and subscribe! We will be happy to hear from you and will get back to you!
#DataLeap #RecommenderSystems #365DataScience #365DataUseCases #DataScience
✅https://www.youtube.com/channel/UC23emuGbNM7twofQIrEgPBQ
✅https://www.youtube.com/channel/UCiSw05R_PCiguUc6ahs_b1w
?? Find Andrew on Twitter:
✅https://twitter.com/dataleaptech
Hi everyone and welcome to the next episode of 365 Data Use Cases! In this series of super informative videos, we explore the diverse areas where data is widely used nowadays. Let's be honest, every industry relies on data for insights and strategies. But you'll be amazed how fascinating some of these cases are! This one is no exception!
?? Download Our Free Data Science Career Guide:✅https://bit.ly/2FIg8Fc
?? Sign up for Our Complete Data Science Training:✅https://bit.ly/37kHsF3
In this episode, our friend Andrew from DataLeap will share his favourite data use case – Recommender Systems!
Have you ever thought about the content you see online and why you see it? Well, Andrew has, and he will tell you all about how data models and algorithms recommend content when you do a Google or a YouTube search. He shares that “YouTube has an idea of what videos it can recommend to you based on your behavior and what kind of user you are similar to, based on your demographic and other information you’ve willingly shared". Curious, right? Watch the full video to learn how data science and recommendation systems determine what content is the most relevant to you!
??GET SPECIAL OFFER for 'The 365 Data Science Program'
✅https://bit.ly/37kHsF3
We will continue the series with plenty more exciting data use cases like this one.
Stay tuned!
0:00 | Intro
0:46 | Why do FAANG companies need recommender systems
1:42 | The YouTube Algorithm
2:26 | The King Regent of Recommendations: Google
2:50 | Recommendation system architecture
3:01 | Stage 1: Candidate generation
3:26 | Stage 2: Scoring
4:38 | Stage 3: Re-ranking
4:56 | Cool tips and resources from Andrew
??Follow us on YouTube
✅https://www.youtube.com/c/365DataScience?sub_confirmation=1
??Connect with us on our social media platforms:
✅Website: https://bit.ly/2FNrDve
✅Telegram: https://t.me/c365datascience
✅LinkedIn: https://www.linkedin.com/company/365datascience
✅Medium: https://medium.com/@365datascience
✅Twitter: https://twitter.com/365datascience
✅Facebook: https://www.facebook.com/365datascience
✅Pinterest: https://www.pinterest.com/365datascience/
✅Reddit: https://www.reddit.com/user/365datascience
✅Tumblr: https://www.tumblr.com/blog/365datascienceblog
✅Instagram: https://www.instagram.com/365datascience
✅Q&A Hub: https://365datascience.com/qa-hub/
??Prepare yourself for a career in data science with our comprehensive program??
✅https://bit.ly/35klFuo
Get in touch about the training at:
support@365datascience.com
Comment, like, share, and subscribe! We will be happy to hear from you and will get back to you!
#DataLeap #RecommenderSystems #365DataScience #365DataUseCases #DataScience
365 Data Science
At 365 Data Science, we all come to work every day because we want to solve the biggest problem in data science.
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People who want to enter the field do not know where to start. They wonder whether they need a PhD, or perhaps a few years in a...