Based on this YouTube video's total view count of 7.35K views and industry-standard rates, the estimated total earning is $5 - $15 through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.

Explore YouTube's Algorithm, Scientifically Explained with 7,351 views, 286 likes, and 60 comments. Experience the impact of this video content that has captured audience attention.

I explain how YouTube chooses recommendations from billions of videos. If you've ever wondered, "how does the YouTube algorithm work behind the scenes?", this video is for you. 0:00 Introduction 0:32 YouTube's objectives 0:52 Example objective: Maximizing Watch Time 5:14 Determining a video's topics 9:07 Tuning the algorithm's knobs 11:20 Trading off different objectives 13:17 Fixing YouTube's biases 14:10 Recap and conclusion Key References: Deep Neural Networks for YouTube Recommendations (Covington, Adams, Sargin, RecSys 2016) Recommending what video to watch next: a multitask ranking system (Zhao et al., RecSys 2019) Q&R: A Two-Stage Approach toward Interactive Recommendation (Christakopoulou et al., KDD 2018) Andrew Ng's Video on "Why Deep Representations?" https://www.youtube.com/watch?v=5dWp1mw_XNk&list=PLpFsSf5Dm-pd5d3rjNtIXUHT-v7bdaEIe&index=41 Wide and Deep Learning: https://ai.googleblog.com/2016/06/wide-deep-learning-better-together-with.html #machinelearning #datascience #youtube #algorithm Stock footage: Pexels Music: Mixkit Animation uses the Manim library, an open source Python package created by 3Blue1Brown.

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