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17 - Random Forests/003 Random Forests - Key Hyperparameters.mp4

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06. Tuning Hyperparameters Using Cross Validation Scores/01. Module Overview.mp4

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5 - Choosing Hyperparameters/24 - Hyperparameter Optimization Crossvalidation Grid Search and Random Search.mp4

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5 - Choosing Hyperparameters/25 - Sampling Logarithmically.mp4

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5 - Choosing Hyperparameters/26 - Grid Search in Code.mp4

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2020 AWS SageMaker, AI and Machine Learning - With Python/06 E9 XGBoost - Gradient Boosted Trees/060 E9 XGBoost HyperParameters and Tuning.en.srt

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17. Extras/1. How to Choose Hyperparameters.mp4

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7. Standard Model Parameters/1. Hyperparameters.mp4

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16. Feedforward Artificial Neural Networks/15. Aside How to Choose Hyperparameters (Optional).mp4

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Chapter 3 Feedforward Artificial Neural Networks/010. How to Choose Hyperparameters.en.srt

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11. Milestone Project 1 Supervised Learning (Classification)/14. Tuning Hyperparameters.mp4

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02 - Hyperparameter Tuning - Overview/010 Parameters and Hyperparameters.mp4

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07 - Other SMBO Algorithms/057 TPE hyperparameters.mp4

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08 - Scikit-Optimize/074 Optimizing Hyperparameters of a CNN.mp4

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16. Section 12 LLM Hyperparameters & The OpenAI Playground/1. Introduction to Hyperparameters and the OpenAI Playground.mp4

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16. Section 12 LLM Hyperparameters & The OpenAI Playground/3. Temperature.mp4

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07 Matrix Factorization Methods/047 [Exercise] Tune the hyperparameters on SVD-en.srt

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Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/005. k-Nearest Neighbors Algorithm - Hyperparameters and Hyperpar.mp4

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12 - Implementing a Neural Network from Scratch with Numpy/001 The Dataset and Hyperparameters.mp4

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32 - Practical Sequence Modelling in PyTorch Image Captioning/011 Defining Hyperparameters.mp4

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6 - Practical Machine Learning/49 - Hyperparameters and CrossValidation.mp4

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14 Deep Learning 130 - Hyperparameter Tuning/3.Using scikit-learn to Tune Deep Learning Model Hyperparameters.mp4

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19 - Extras/1 -How to Choose Hyperparameters.mp4

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B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/6. Tuning Hyperparameters Using Cross Validation Scores/1. Module Overview.mp4

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08. Deep Q-Learning Implementation/18. Step 16 - Epsilon-Greedy Strategy Initializing AI Training Hyperparameters.mp4

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11. Deep Convolutional Q-Learning Implementation/9. Step 7 Deep Q-Learning Hyperparameters - Learning Rate & Batch Size Setup.mp4

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