Скачать с ютуб Multiclass classification & Cross Validation - Machine Learning # 4 в хорошем качестве

Multiclass classification & Cross Validation - Machine Learning # 4

Let's reach 100K subscribers 👉🏻 https://www.youtube.com/c/AhmadBazzi?... 📚About This lecture shows multiclass classification (OvA vs OvO) and some error analysis approaches (confusion matrix and cross validation) along with many interpretations. ⏲Outline⏲ 00:00 Introduction 00:34 What is Multiclass Classification ? 03:40 OvA (One vs All) Strategy 03:56 OvO (One vs One) Strategy 05:18 OvA vs OvO 06:48 SGD OvA Classifier 09:39 The "Lousy" Seven 10:33 OnevsOneClassifier 12:04 Random Forest: OvA Approach 15:22 Better Accuracy by Feature Scaling 16:18 StandardScaling 17:40 Intro to Error Analysis 18:22 Confusion Matrix could be confusing 18:56 Confusion Matrix as an Image 20:03 Explaining the Confusion Matrix 30:45 Outro 🔴 Subscribe for more videos on Machine Learning and Python. 👍 Smash that like button, in case you find this tutorial useful. 👁‍🗨 Speak up and comment, I am all ears. ============================================================ 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...   ============================================================ Instructor: Dr. Ahmad Bazzi IG:   / drahmadbazzi   Browser: https://www.google.com/chrome/ ============================================================ 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/ ============================================================ 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