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6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
6 - Support Vector Machines/64 - Crossvalidation.mp4 80.2 MB
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5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
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4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
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6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
6 - Support Vector Machines/64 - Crossvalidation.mp4 80.2 MB
1 - Introduction/1 - Introduction.mp4 73.3 MB
5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 55.4 MB
4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
4 - KNearest Neighbors/28 - Random Dataset Decision Regions.mp4 48.2 MB
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~Get Your Files Here !/4. Self-Supervised Learning/7. SimCLR, An UnSupervised Contrastive Pretext Model.mp4 400.0 MB
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~Get Your Files Here !/4. Self-Supervised Learning/1. Self-Supervised Learning.mp4 296.1 MB
~Get Your Files Here !/2. Supervised Models/1. Supervised Learning.mp4 274.7 MB
~Get Your Files Here !/4. Self-Supervised Learning/8. SimCLR Experiment.mp4 262.8 MB
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~Get Your Files Here !/1. Introduction/3. Python Notebooks.mp4 74.8 MB
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~Get Your Files Here !/4. Self-Supervised Learning/8. SimCLR Experiment.srt 32.2 kB
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~Get Your Files Here !/2. Supervised Models/3. Transfer Learning & Fine-Tuning.srt 27.3 kB
~Get Your Files Here !/4. Self-Supervised Learning/5. Supervised Contrastive Pretext, Experiment 2.srt 26.4 kB
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~Get Your Files Here !/8. Linear Regression With Python/5. Linear Regression With Python.mp4 149.7 MB
~Get Your Files Here !/9. Logistic Regression With Python/5. Logistic Regression With Python.mp4 110.0 MB
~Get Your Files Here !/14. Discriminant Analysis With A Case Study/1. Discriminant Analysis - Lecture 1.mp4 106.7 MB
~Get Your Files Here !/17. Deep Learning/2. Introduction To Artificial Neural Networks (ANNs).mp4 74.8 MB
~Get Your Files Here !/15. Support Vector Machines With Python/2. Support Vector Machines - Lecture 2.mp4 74.1 MB
~Get Your Files Here !/5. The NumPy Library/2. Working With Arrays Using NumPy Library.mp4 69.9 MB
~Get Your Files Here !/17. Deep Learning/5. ANN With Back Propagation.mp4 68.3 MB
~Get Your Files Here !/17. Deep Learning/4. Perceptron With Python.mp4 65.4 MB
~Get Your Files Here !/12. Naïve Bayes Classifier And KNN/1. Understanding Naïve Bayes Classifier.mp4 65.4 MB
~Get Your Files Here !/17. Deep Learning/1. Introduction To Deep Learning.mp4 65.1 MB
~Get Your Files Here !/17. Deep Learning/3. Architecture And Training Of ANN.mp4 64.7 MB
~Get Your Files Here !/17. Deep Learning/6. Back Propagation With Python.mp4 64.7 MB
~Get Your Files Here !/15. Support Vector Machines With Python/4. SVM With Python.mp4 63.2 MB
~Get Your Files Here !/14. Discriminant Analysis With A Case Study/2. Discriminant Analysis - Lecture 2.mp4 59.9 MB
~Get Your Files Here !/7. Data Visualization With Python/3. Data Analysis And Visualization.mp4 52.3 MB
~Get Your Files Here !/10. Complete Decision Tree With Python/7. Decision Tree Hands-on With Python - Lecture 2.mp4 51.2 MB
~Get Your Files Here !/15. Support Vector Machines With Python/3. Support Vector Machines - Lecture 3.mp4 50.9 MB
~Get Your Files Here !/13. Random Forest With Python/1. Ensemble Classifiers- Random Forest - Lecture 1.mp4 49.1 MB
~Get Your Files Here !/10. Complete Decision Tree With Python/1. Fundamentals Of Decision Tree - Lecture 1.mp4 48.8 MB
~Get Your Files Here !/13. Random Forest With Python/3. Random Forest Classifier In Python - Lecture 1.mp4 48.7 MB

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[TutsNode.com] - Supervised Learning Essential Training/01 Supervised machine learning and the technology boom.mp4 23.9 MB
[TutsNode.com] - Supervised Learning Essential Training/22 Building your own KNN.mp4 20.7 MB
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[TutsNode.com] - Supervised Learning Essential Training/23 Deciphering KNN model metrics.mp4 11.7 MB
[TutsNode.com] - Supervised Learning Essential Training/14 Splitting data and limiting decision tree depth.mp4 11.2 MB
[TutsNode.com] - Supervised Learning Essential Training/11 Creating a logistic regression model.mp4 10.9 MB
[TutsNode.com] - Supervised Learning Essential Training/24 Searching for the best model.mp4 9.7 MB
[TutsNode.com] - Supervised Learning Essential Training/28 Assembling your neural networks.mp4 9.3 MB
[TutsNode.com] - Supervised Learning Essential Training/25 Biological vs. artificial neural networks.mp4 8.9 MB
[TutsNode.com] - Supervised Learning Essential Training/04 What is supervised learning.mp4 8.3 MB
[TutsNode.com] - Supervised Learning Essential Training/30 Ethical overview.mp4 7.9 MB
[TutsNode.com] - Supervised Learning Essential Training/07 Defining logistic and linear regression.mp4 7.8 MB
[TutsNode.com] - Supervised Learning Essential Training/19 Discovering your k-nearest neighbors.mp4 7.5 MB
[TutsNode.com] - Supervised Learning Essential Training/16 Creating your first decision trees.mp4 7.5 MB
[TutsNode.com] - Supervised Learning Essential Training/10 Creating a linear regression model.mp4 7.3 MB
[TutsNode.com] - Supervised Learning Essential Training/12 Evaluating regression model predictions.mp4 6.6 MB
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6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
6 - Support Vector Machines/64 - Crossvalidation.mp4 80.2 MB
1 - Introduction/1 - Introduction.mp4 73.3 MB
5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 55.4 MB
4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
4 - KNearest Neighbors/28 - Random Dataset Decision Regions.mp4 48.2 MB
7 - Ridge and Lasso Regression/76 - The Hitters Dataset Preprocessing and Preparation.mp4 48.2 MB

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~Get Your Files Here !/4. Miscellaneous Concepts/4. Introduction To Convolutional Neural Networks (CNN).mp4 184.5 MB
~Get Your Files Here !/4. Miscellaneous Concepts/2. Theory Behind ANN and DNN.mp4 101.9 MB
~Get Your Files Here !/4. Miscellaneous Concepts/3. What Are Activation Functions.mp4 91.7 MB
~Get Your Files Here !/2. Basic Data Preprocessing/2. What Is Pandas.mp4 78.5 MB
~Get Your Files Here !/2. Basic Data Preprocessing/4. Basics of Data Visualisation.mp4 77.5 MB
~Get Your Files Here !/4. Miscellaneous Concepts/1. What is Supervised Learning.mp4 76.0 MB
~Get Your Files Here !/3. Learning From Unlabelled Data/9. Autoencoders With Keras Deep Learning.mp4 71.6 MB
~Get Your Files Here !/3. Learning From Unlabelled Data/10. Convolutional Autoencoders-Encoding.mp4 68.6 MB
~Get Your Files Here !/3. Learning From Unlabelled Data/2. Theory Behind Autoencoders.mp4 63.4 MB
~Get Your Files Here !/3. Learning From Unlabelled Data/4. Lets Implement a Basic Auto-Encoder With H20.mp4 61.1 MB
~Get Your Files Here !/3. Learning From Unlabelled Data/11. Convolutional Autoencoders-Decoding.mp4 51.4 MB
~Get Your Files Here !/3. Learning From Unlabelled Data/6. What Is Denoising.mp4 49.4 MB
~Get Your Files Here !/1. Introduction To the Course/3. Python Installation.mp4 44.7 MB
~Get Your Files Here !/1. Introduction To the Course/4. Start With Google Colaboratory Environment.mp4 42.3 MB
~Get Your Files Here !/3. Learning From Unlabelled Data/7. Autoencode the Image Data With H2O.mp4 41.4 MB
~Get Your Files Here !/1. Introduction To the Course/9. Course details.mp4 38.4 MB
~Get Your Files Here !/3. Learning From Unlabelled Data/5. Variational Autoencoder (VAE) With H2O.mp4 38.4 MB
~Get Your Files Here !/2. Basic Data Preprocessing/3. Basic Data Cleaning With Pandas.mp4 36.1 MB
~Get Your Files Here !/1. Introduction To the Course/5. Google Colabs and GPU.mp4 31.7 MB
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6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
6 - Support Vector Machines/64 - Crossvalidation.mp4 80.2 MB
1 - Introduction/1 - Introduction.mp4 73.3 MB
5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 55.4 MB
4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
4 - KNearest Neighbors/28 - Random Dataset Decision Regions.mp4 48.2 MB
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【影视】 Sara May - Supervised Employee .1080.mkv

收录时间:2022-01-12 文档个数:1 文档大小:751.0 MB 最近下载:2025-02-02 人气:69 磁力链接

Sara May - Supervised Employee .1080.mkv 751.0 MB

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