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- 【影视】 [FreeCoursesOnline.Me] A Cloud Guru - AWS Certified Machine Learning - Specialty 2020
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07 Algorithms/014 Algorithms Lab.mp4 205.5 MB
08 Evaluation and Optimization/007 Evaluation and Optimization Lab.mp4 172.3 MB
09 Implementation and Operations/009 Implementation and Operations Lab.mp4 172.1 MB
05 Data Analysis and Visualization/009 Data Analysis and Visualization Lab.mp4 157.2 MB
06 Modeling/007 Modeling Lab.mp4 151.0 MB
03 Streaming Data Collection/008 Streaming Data Collection Lab.mp4 131.6 MB
04 Data Preparation/011 Data Preparation Lab.mp4 109.0 MB
04 Data Preparation/004 Text Feature Engineering.mp4 61.4 MB
02 Data Collection/004 Machine Learning Data Terminology.mp4 60.0 MB
04 Data Preparation/009 Helper Tools.mp4 56.0 MB
08 Evaluation and Optimization/004 Evaluating Model Accuracy.mp4 53.4 MB
07 Algorithms/002 OPTIONAL - Why do we call them Algorithms.mp4 52.1 MB
06 Modeling/004 SageMaker Modeling.mp4 51.2 MB
07 Algorithms/003 Concepts.mp4 49.6 MB
07 Algorithms/004 Regression.mp4 48.8 MB
03 Streaming Data Collection/003 Kinesis Data Streams.mp4 47.8 MB
09 Implementation and Operations/002 Concepts.mp4 45.2 MB
09 Implementation and Operations/006 Security.mp4 45.0 MB
06 Modeling/005 SageMaker Training.mp4 40.9 MB
02 Data Collection/002 Concepts.mp4 38.9 MB
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- 【影视】 [FreeCoursesOnline.Me] A Cloud Guru - AWS Certified Machine Learning - Specialty 2020
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07 Algorithms/014 Algorithms Lab.mp4 205.5 MB
08 Evaluation and Optimization/007 Evaluation and Optimization Lab.mp4 172.3 MB
09 Implementation and Operations/009 Implementation and Operations Lab.mp4 172.1 MB
05 Data Analysis and Visualization/009 Data Analysis and Visualization Lab.mp4 157.2 MB
06 Modeling/007 Modeling Lab.mp4 151.0 MB
03 Streaming Data Collection/008 Streaming Data Collection Lab.mp4 131.6 MB
04 Data Preparation/011 Data Preparation Lab.mp4 109.0 MB
04 Data Preparation/004 Text Feature Engineering.mp4 61.4 MB
02 Data Collection/004 Machine Learning Data Terminology.mp4 60.0 MB
04 Data Preparation/009 Helper Tools.mp4 56.0 MB
08 Evaluation and Optimization/004 Evaluating Model Accuracy.mp4 53.4 MB
07 Algorithms/002 OPTIONAL - Why do we call them Algorithms.mp4 52.1 MB
06 Modeling/004 SageMaker Modeling.mp4 51.2 MB
07 Algorithms/003 Concepts.mp4 49.6 MB
07 Algorithms/004 Regression.mp4 48.8 MB
03 Streaming Data Collection/003 Kinesis Data Streams.mp4 47.8 MB
09 Implementation and Operations/002 Concepts.mp4 45.2 MB
09 Implementation and Operations/006 Security.mp4 45.0 MB
06 Modeling/005 SageMaker Training.mp4 40.9 MB
02 Data Collection/002 Concepts.mp4 38.9 MB
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07 Algorithms/014 Algorithms Lab.mp4 205.5 MB
08 Evaluation and Optimization/007 Evaluation and Optimization Lab.mp4 172.3 MB
09 Implementation and Operations/009 Implementation and Operations Lab.mp4 172.1 MB
05 Data Analysis and Visualization/009 Data Analysis and Visualization Lab.mp4 157.2 MB
06 Modeling/007 Modeling Lab.mp4 151.0 MB
03 Streaming Data Collection/008 Streaming Data Collection Lab.mp4 131.6 MB
04 Data Preparation/011 Data Preparation Lab.mp4 109.0 MB
04 Data Preparation/004 Text Feature Engineering.mp4 61.4 MB
02 Data Collection/004 Machine Learning Data Terminology.mp4 60.0 MB
04 Data Preparation/009 Helper Tools.mp4 56.0 MB
08 Evaluation and Optimization/004 Evaluating Model Accuracy.mp4 53.4 MB
07 Algorithms/002 OPTIONAL - Why do we call them Algorithms.mp4 52.1 MB
06 Modeling/004 SageMaker Modeling.mp4 51.2 MB
07 Algorithms/003 Concepts.mp4 49.6 MB
07 Algorithms/004 Regression.mp4 48.8 MB
03 Streaming Data Collection/003 Kinesis Data Streams.mp4 47.8 MB
09 Implementation and Operations/002 Concepts.mp4 45.2 MB
09 Implementation and Operations/006 Security.mp4 45.0 MB
06 Modeling/005 SageMaker Training.mp4 40.9 MB
02 Data Collection/002 Concepts.mp4 38.9 MB
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- 【影视】 2019-Hairy teeny babe learning how to lick a hairy MILf in bed
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Hairy teeny babe learning how to lick a hairy MILf in bed(2019).mp4 2.9 GB
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- 【影视】 Edureka - Practical Deep Learning With Python
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03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/09-demonstration_next_word_prediction_model_compilation_and_prediction.mp4 101.3 MB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/09-demonstration_handwritten_digits_classification_optimizing_the_model.mp4 93.1 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network/05-demonstration_object_detection_with_faster_rcnn_building_the_model.mp4 86.9 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/11-demonstration_building_basic_cnn_model_with_new_parameters.mp4 82.0 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/13-single_layer_perceptron_decision_boundary.mp4 80.9 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network/04-demonstration_object_detection_with_faster_rcnn_pretrained_model_setup.mp4 78.3 MB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/08-demonstration_handwritten_digits_classification_designing_the_model.mp4 76.8 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/10-demonstration_adding_more_layers.mp4 65.4 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/01-Working_Of_Recurrent_Neural_Networks_Rnn/06-demonstration_rnn_building_the_model.mp4 65.4 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/01-Working_Of_Recurrent_Neural_Networks_Rnn/05-demonstration_rnn_dataset_preparation.mp4 65.1 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/08-demonstration_next_word_prediction_layers.mp4 61.8 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/06-demonstration_model_compilation_preparing_the_dataset.mp4 58.2 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/07-demonstration_training_the_model_and_visualizing_the_predictions.mp4 56.2 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/07-demonstration_designing_the_model.mp4 55.4 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/07-demonstration_next_word_prediction_processing_the_corpus.mp4 52.6 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/07-demonstration_building_and_compiling_model.mp4 48.5 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/08-demonstration_from_rmsprop_to_adam.mp4 47.4 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/12-single_layer_perceptron_define_sigmoid_function.mp4 46.1 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/03-neural_networks.mp4 44.2 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/06-demonstration_load_and_preprocess_the_data.mp4 44.1 MB
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03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/09-demonstration_next_word_prediction_model_compilation_and_prediction.mp4 101.3 MB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/09-demonstration_handwritten_digits_classification_optimizing_the_model.mp4 93.1 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network/05-demonstration_object_detection_with_faster_rcnn_building_the_model.mp4 86.9 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/11-demonstration_building_basic_cnn_model_with_new_parameters.mp4 82.0 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/13-single_layer_perceptron_decision_boundary.mp4 80.9 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network/04-demonstration_object_detection_with_faster_rcnn_pretrained_model_setup.mp4 78.3 MB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/08-demonstration_handwritten_digits_classification_designing_the_model.mp4 76.8 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/10-demonstration_adding_more_layers.mp4 65.4 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/01-Working_Of_Recurrent_Neural_Networks_Rnn/06-demonstration_rnn_building_the_model.mp4 65.4 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/01-Working_Of_Recurrent_Neural_Networks_Rnn/05-demonstration_rnn_dataset_preparation.mp4 65.1 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/08-demonstration_next_word_prediction_layers.mp4 61.8 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/06-demonstration_model_compilation_preparing_the_dataset.mp4 58.2 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/07-demonstration_training_the_model_and_visualizing_the_predictions.mp4 56.2 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/07-demonstration_designing_the_model.mp4 55.4 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/07-demonstration_next_word_prediction_processing_the_corpus.mp4 52.6 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/07-demonstration_building_and_compiling_model.mp4 48.5 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/08-demonstration_from_rmsprop_to_adam.mp4 47.4 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/12-single_layer_perceptron_define_sigmoid_function.mp4 46.1 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/03-neural_networks.mp4 44.2 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/06-demonstration_load_and_preprocess_the_data.mp4 44.1 MB
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- 【影视】 [ FreeCourseWeb ] Udemy - Machine Learning Basics- Building Regression Model in Python
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6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 164.2 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 119.3 MB
6. Linear Regression/5. Assessing accuracy of predicted coefficients.mp4 109.5 MB
6. Linear Regression/10. Multiple Linear Regression in Python.mp4 92.4 MB
6. Linear Regression/16. Subset selection techniques.mp4 91.4 MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4 90.8 MB
2. Basics of Statistics/3. Describing data Graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Analysis.mp4 85.2 MB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.5 MB
6. Linear Regression/3. Simple Linear Regression in Python.mp4 82.5 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 82.4 MB
5. Data Preprocessing/7. EDD in Python.mp4 78.7 MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.3 MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4 71.3 MB
6. Linear Regression/8. The F - statistic.mp4 67.2 MB
6. Linear Regression/14. Test train split in Python.mp4 60.6 MB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp4 59.2 MB
3. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4 56.8 MB
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- 【影视】 [GrandParentsX] 19.12.11.Learning.Two.Young.Strippers.How.To.Fuck.1080p
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Sub/grandparentsx.19.12.11.learning.two.young.strippers.how.to.fuck.mp4 2.1 GB
[GrandParentsX.com] Dirty dads hunting for nasty sluts (Yvette, unknown others).scr 739.3 MB
grandparentsx.19.12.11.learning.two.young.strippers.how.to.fuck.cover.png 2.0 MB
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- 【影视】 A Cloud Guru - MLS - AWS.Certified.Machine.Learning.Specialty.2019
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07 Algorithms/014 Algorithms Lab.mp4 205.5 MB
08 Evaluation and Optimization/007 Evaluation and Optimization Lab.mp4 172.3 MB
09 Implementation and Operations/009 Implementation and Operations Lab.mp4 172.1 MB
05 Data Analysis and Visualization/009 Data Analysis and Visualization Lab.mp4 157.2 MB
06 Modeling/007 Modeling Lab.mp4 151.0 MB
03 Streaming Data Collection/008 Streaming Data Collection Lab.mp4 131.6 MB
04 Data Preparation/011 Data Preparation Lab.mp4 109.0 MB
04 Data Preparation/004 Text Feature Engineering.mp4 61.4 MB
02 Data Collection/004 Machine Learning Data Terminology.mp4 60.0 MB
04 Data Preparation/009 Helper Tools.mp4 56.0 MB
07 Algorithms/002 OPTIONAL - Why do we call them Algorithms.mp4 52.1 MB
06 Modeling/004 SageMaker Modeling.mp4 51.2 MB
07 Algorithms/003 Concepts.mp4 49.6 MB
07 Algorithms/004 Regression.mp4 48.5 MB
03 Streaming Data Collection/003 Kinesis Data Streams.mp4 47.8 MB
08 Evaluation and Optimization/004 Evaluating Model Accuracy.mp4 47.2 MB
09 Implementation and Operations/006 Security.mp4 45.7 MB
09 Implementation and Operations/002 Concepts.mp4 45.2 MB
06 Modeling/005 SageMaker Training.mp4 40.9 MB
02 Data Collection/002 Concepts.mp4 38.9 MB
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- 【影视】 tutsplus.com - Learning TDD in C# ® vampiri6ka
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HQ/08 Building the CartItem Functionality.mp4 408.2 MB
HQ/09 Building the Cart Functionality.mp4 338.9 MB
HQ/12 Interfaces in C#.mp4 225.9 MB
HQ/05 Assertions.mp4 205.4 MB
HQ/03 Writing Basic Unit Tests.mp4 200.3 MB
HQ/14 Moq'ing a Database.mp4 193.7 MB
HQ/06 Exceptions.mp4 193.6 MB
HQ/11 Fakes, Stubs, and Mocks (oh my!).mp4 171.0 MB
HQ/13 Basic Moq Setup.mp4 167.4 MB
HQ/04 Test Clean Up.mp4 156.5 MB
HQ/02 Prerequisites and Dependency Management.mp4 155.2 MB
HQ/10 Common Code Smells.mp4 150.5 MB
HQ/15 Wrap Up.mp4 42.1 MB
LQ/08 Building the CartItem Functionality.mkv 31.6 MB
HQ/07 Shopping Cart Project Requirements.mp4 30.3 MB
LQ/09 Building the Cart Functionality.mkv 26.7 MB
LQ/14 Moq'ing a Database.mkv 15.9 MB
LQ/12 Interfaces in C#.mkv 13.5 MB
LQ/05 Assertions.mkv 13.4 MB
LQ/13 Basic Moq Setup.mkv 12.5 MB
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- 【影视】 Learning Alias2
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A Pillar Blend Modeling.flv 75.3 MB
Apron Rear 2.flv 66.0 MB
Gas Tank 11.flv 64.5 MB
Building the Roof Surf.flv 63.6 MB
Overbuild and Trim Surface Creation 2.flv 53.1 MB
Surface Evaluation - Highlighting 2.flv 51.8 MB
Rocker Panel.flv 48.6 MB
Overbuild and Trim Surface Creation 1.flv 46.3 MB
A Pillar Blend Overview.flv 46.3 MB
Surface Evaluation - Highlighting 1.flv 45.2 MB
Building The Apexless Hood & Grill Panel 2.flv 43.7 MB
Overbuild and Trim Surface Creation 3.flv 43.3 MB
Roof to Windscreen Blend.flv 41.0 MB
Gas Tank 5.flv 40.2 MB
Gas Tank 6.flv 40.2 MB
Nose Cone Dragster Air Intake 4.flv 40.1 MB
Nose Cone Dragster Air Intake 7.flv 38.1 MB
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08 Setting Up Your Environment (FAQ by Student Request)/067 Windows-Focused Environment Setup 2018.mp4 195.5 MB
09 Extra Help With Python Coding for Beginners (FAQ by Student Request)/071 Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
05 Bayesian A_B Testing/052 Bayesian Bandits _ Thompson Sampling Theory (pt 2).mp4 78.5 MB
04 Traditional A_B Testing/033 Z-Test Code (pt 1).mp4 71.2 MB
05 Bayesian A_B Testing/051 Bayesian Bandits _ Thompson Sampling Theory (pt 1).mp4 58.9 MB
05 Bayesian A_B Testing/048 UCB1 Theory.mp4 58.5 MB
02 The High-Level Picture/005 What is Bayesian Machine Learning_.mp4 57.3 MB
03 Bayes Rule and Probability Review/016 Probability Review in Code.mp4 57.0 MB
05 Bayesian A_B Testing/037 Section Introduction_ The Explore-Exploit Dilemma.mp4 54.8 MB
05 Bayesian A_B Testing/060 (Optional) Alternative Bandit Designs.mp4 54.5 MB
04 Traditional A_B Testing/028 Hypothesis Testing - The API Approach.mp4 50.5 MB
07 Practice Makes Perfect/066 The most important quiz of all - Obtaining an infinite amount of practice.mp4 49.4 MB
05 Bayesian A_B Testing/038 Applications of the Explore-Exploit Dilemma.mp4 49.3 MB
05 Bayesian A_B Testing/055 Thompson Sampling With Gaussian Reward Theory.mp4 49.2 MB
04 Traditional A_B Testing/036 Classical A_B Testing Section Summary.mp4 48.5 MB
05 Bayesian A_B Testing/044 Comparing Different Epsilons.mp4 46.1 MB
08 Setting Up Your Environment (FAQ by Student Request)/068 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
01 Introduction and Outline/003 How to succeed in this course.mp4 45.9 MB
03 Bayes Rule and Probability Review/011 Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB
06 Bayesian A_B Testing Extension/061 More about the Explore-Exploit Dilemma.mp4 45.9 MB
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Art of Teaching (Audio)/00. Professor Bio.mp3 1.1 MB
Art of Teaching (Audio)/01. Successful Teaching.mp3 17.7 MB
Art of Teaching (Audio)/02. The Broad Range of Learners.mp3 15.5 MB
Art of Teaching (Audio)/03. Starting Out Right.mp3 16.3 MB
Art of Teaching (Audio)/04. The Teacher's Persona.mp3 15.2 MB
Art of Teaching (Audio)/05. Planning the Work.mp3 16.9 MB
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Art of Teaching (Audio)/12. Engaging with Discussion, Part 2.mp3 17.2 MB
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Art of Teaching (Audio)/14. Teaching Revision and Editing.mp3 19.2 MB
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Art of Teaching (Audio)/17. The Learner's Perspective.mp3 17.0 MB
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