The point of this is to demonstrate the concept of gradient descent. Gradient descent is the most popular optimization strategy in deep learning, in particular an implementation of it called backpropagation. We are using gradient descent as our optimization strategy for linear regression. We'll draw the line of best fit to measure the relationship between student test scores and the amount of hours studied.
Code for this video:
https://github.com/llSourcell/linear_regression_liveYes, I've done this video before. But I'm doing it again because
1. Gradient Descent is really important. Know how it works.
2. Last time was in Google Hangouts (Ghetto) this is better quality
More learning resources:
https://spin.atomicobject.com/2014/06/24/gradient-descent-linear-regression/https://en.wikipedia.org/wiki/Gradient_descenthttp://machinelearningmastery.com/gradient-descent-for-machine-learning/https://www.analyticsvidhya.com/blog/2017/03/introduction-to-gradient-descent-algorithm-along-its-variants/http://ufldl.stanford.edu/tutorial/supervised/OptimizationStochasticGradientDescent/Join us in the Wizards Slack Channel:
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https://www.wagergpt.coAbout the Site π
This site provides links to random videos hosted at YouTube, with the emphasis on random. π₯
Origins of the Idea π±
The original idea for this site stemmed from the need to benchmark the popularity of a video against the general population of YouTube videos. π§
Challenges Faced π€
Obtaining a large sample of videos was crucial for accurate ranking, but YouTube lacks a direct method to gather random video IDs.
Even searching for random strings on YouTube doesn't yield truly random results, complicating the process further. π
Creating Truly Random Links π οΈ
The YouTube API offers additional functions enabling the discovery of more random videos. Through inventive techniques and a touch of space-time manipulation, we've achieved a process yielding nearly 100% random links to YouTube videos.
About YouTube πΊ
YouTube, an American video-sharing website based in San Bruno, California, offers a diverse range of user-generated and corporate media content. π
Content and Users π΅
Users can upload, view, rate, share, and comment on videos, with content spanning video clips, music videos, live streams, and more.
While most content is uploaded by individuals, media corporations like CBS and the BBC also contribute. Unregistered users can watch videos, while registered users enjoy additional privileges such as uploading unlimited videos and adding comments.
Monetization and Impact π€
YouTube and creators earn revenue through Google AdSense, with most videos free to view. Premium channels and subscription services like YouTube Music and YouTube Premium offer ad-free streaming.
As of February 2017, over 400 hours of content were uploaded to YouTube every minute, with the site ranking as the second-most popular globally. By May 2019, this figure exceeded 500 hours per minute. π
List of ours generatorsβ‘
Random YouTube Videos Generator
Random Film and Animation Video Generator
Random Autos and Vehicles Video Generator
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