Polynomial Regression w Luis Serrano & YouTube's Video recommender Algorithm | Machine Learning # 8
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📚About
This lecture introduces Polynomial Regression with @SerranoAcademy. Youtube's Recommendation Algorithm utilizes polynomial regression as means to predict a users watchtime for future videos.
⏲Outline⏲
00:21 Theory & Examples with @SerranoAcademy
03:36 YouTube's Video Recommendation Algorithm
09:24 Polynomial Regression on sklearn
18:27 Higher Degrees ?
23:11 Overfitting vs Underfitting
24:34 Learning Curves
35:52 Outro
Grokking Machine Learning
https://www.manning.com/books/grokkin...
Luis Serrano Adademy
https://serrano.academy/
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Lecture 1: Introduction • Introduction - Machine Learning # 1
Lecture 2: Binary Classification & SGD Classifier • Stochastic Gradient Descent Classifie...
Lecture 3: Performance Measures • Performance Measures - Machine Learni...
Lecture 4: Multiclass classification & Cross Validation • Multiclass classification & Cross Val...
Lecture 5: Gradient Descent • Gradient Descent - Machine Learning # 5
Lecture 6: Multilabel and Multioutput Classification • Multilabel and Multioutput Classifica...
Lecture 7: Linear Regression with Louis from "What is Artificial Intelligence" • Linear Regression | Machine Learning # 7
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Instructor: Dr. Ahmad Bazzi
IG: / drahmadbazzi
Browser: https://www.google.com/chrome/
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Credits:
Google
https://www.google.com/
Google Photos
https://www.google.com/photos/about/
TensorFlow
https://www.tensorflow.org/
scikit-learn
https://scikit-learn.org/stable/
Numpy
https://numpy.org/
Microsoft OneNote
https://www.onenote.com/signin?wdorig...
Python
https://www.python.org/
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References:
[1] Géron, Aurélien. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. O'Reilly Media, 2019.
https://www.amazon.com/Hands-Machine-...
[2] Bishop, Christopher M. Pattern recognition and machine learning. springer, 2006.
https://www.amazon.com/Pattern-Recogn...
[3] Friedman, Jerome, Trevor Hastie, and Robert Tibshirani. The elements of statistical learning. Vol. 1. No. 10. New York: Springer series in statistics, 2001.
https://www.amazon.com/Elements-Stati...
[4] Burkov, Andriy. The hundred-page machine learning book. Quebec City, Can.: Andriy Burkov, 2019.
https://www.amazon.com/Hundred-Page-M...
[5] Goodfellow, Ian, Yoshua Bengio, and Aaron Courville. Deep learning. MIT press, 2016.
https://www.amazon.com/Deep-Learning-...
[6] Chollet, Francois. Deep Learning mit Python und Keras: Das Praxis-Handbuch vom Entwickler der Keras-Bibliothek. MITP-Verlags GmbH & Co. KG, 2018.
https://www.amazon.com/Deep-Learning-...
[7] De Prado, Marcos Lopez. Advances in financial machine learning. John Wiley & Sons, 2018.
https://www.amazon.com/Advances-Finan...
[8] Duda, Richard O., Peter E. Hart, and David G. Stork. Pattern classification. John Wiley & Sons, 2012.
https://www.amazon.com/Pattern-Classi...
[9] Lapan, Maxim. Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more. Packt Publishing Ltd, 2018.
https://www.amazon.com/Deep-Reinforce...
[10] Bonaccorso, Giuseppe. Machine Learning Algorithms: Popular algorithms for data science and machine learning. Packt Publishing Ltd, 2018.
https://www.amazon.com/Machine-Learni...
[11] Deisenroth, Marc Peter, A. Aldo Faisal, and Cheng Soon Ong. Mathematics for machine learning. Cambridge University Press, 2020.
https://mml-book.github.io/book/mml-b...
[12] Krollner, Bjoern, Bruce J. Vanstone, and Gavin R. Finnie. "Financial time series forecasting with machine learning techniques: a survey." ESANN. 2010.
#MachineLearning #TensorFlow #MachineLearningTutorial
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