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【压缩文件】 [ FreeCourseWeb.com ] Deep Learning for Vision Systems [Final Version].zip

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[ FreeCourseWeb.com ] Deep Learning for Vision Systems [Final Version].zip 116.4 MB

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【压缩文件】 Learning Factory-74285

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【文档书籍】 Von Oven Peter - Learning VMware Workstation for Windows. Volume 1 and 2 - 2023, 2024

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【压缩文件】 Machine Learning with Python Principles and Practical Techniques.zip

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【影视】 [Tutorialsplanet.NET] Udemy - Feature Engineering for Machine Learning

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13 - Assembling a feature engineering pipeline/004 Regression pipeline.mp4 106.0 MB
06 - Categorical Variable Encoding/017 Weight of Evidence Demo.mp4 103.1 MB
04 - Missing Data Imputation/008 Random sample imputation.mp4 91.9 MB
06 - Categorical Variable Encoding/004 One-hot-encoding Demo.mp4 90.1 MB
13 - Assembling a feature engineering pipeline/003 Classification pipeline.mp4 80.3 MB
06 - Categorical Variable Encoding/018 Comparison of categorical variable encoding.mp4 79.9 MB
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08 - Discretisation/004 Equal-width discretisation Demo.mp4 71.5 MB
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06 - Categorical Variable Encoding/020 Rare label encoding Demo.mp4 63.5 MB
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01 - Introduction/001 Course curriculum overview.mp4 52.0 MB
06 - Categorical Variable Encoding/008 Ordinal encoding Demo.mp4 51.9 MB
10 - Feature Scaling/013 Scaling to vector unit length Demo.mp4 47.0 MB
07 - Variable Transformation/003 Variable Transformation with Scikit-learn.mp4 46.7 MB
10 - Feature Scaling/005 Mean normalisation Demo.mp4 45.2 MB
07 - Variable Transformation/002 Variable Transformation with Numpy and SciPy.mp4 44.5 MB
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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Artificial Intelligence & Machine Learning for Business.zip

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【影视】 Learning the Cisco Application-Centric Infrastructure (ACI)

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Chapter 6 Secured External Connectivity with L3OUTs/001. External L3OUT with BGP.mp4 102.0 MB
Chapter 6 Secured External Connectivity with L3OUTs/003. Tenants to L3OUT Part One.mp4 90.2 MB
Chapter 8 Automation and Orchestration with ACI/003. Bulk ACI Tenant Automation using Python Loops.mp4 82.9 MB
Chapter 7 Layer 2 Through Layer 7 Service Insertion/001. External L2OUT.mp4 82.0 MB
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Chapter 7 Layer 2 Through Layer 7 Service Insertion/003. DHCP Services In ACI.mp4 76.6 MB
Chapter 7 Layer 2 Through Layer 7 Service Insertion/005. Adding Routed Firewalls in ACI.mp4 75.5 MB
Chapter 3 Enabling Connectivity in ACI/006. Virtual Machine Manager Integration in ACI.mp4 74.5 MB
Chapter 2 Let's Bring the ACI Fabric to Life/004. ACI APIC Web User Interface.mp4 71.3 MB
Chapter 1 Introduction to Application Centric Infrastructure (ACI)/003. ACI Fabric Components.mp4 68.4 MB
Chapter 5 Secured Internal Connectivity In ACI/003. Inter and Intra Tenant Communications and Contract Interfaces.mp4 66.8 MB
Chapter 6 Secured External Connectivity with L3OUTs/004. Tenants to L3OUT Part Two.mp4 66.3 MB
Chapter 8 Automation and Orchestration with ACI/001. Rest API with ACI Toolkit.mp4 62.8 MB
Chapter 4 Multi-Tenancy ACI's Ultimate Weapon/002. Application Profiles and Endpoint Groups.mp4 60.1 MB
Chapter 3 Enabling Connectivity in ACI/001. Interface Policy Groups, Profiles, and Policies.mp4 59.8 MB
Chapter 4 Multi-Tenancy ACI's Ultimate Weapon/003. Subjects, Filters, and Contracts.mp4 59.0 MB
Chapter 3 Enabling Connectivity in ACI/003. Fabric Domains and VLAN Pools.mp4 58.0 MB
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【压缩文件】 Chin E. The Deep Learning Architect's Handbook. Build and deploy...2023

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【压缩文件】 HTB - CWEE - Certification Learning Path - shared by Tamarisk OffsecExam

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【影视】 [OneHack.Us] Coursera - Practical Deep Learning With Python 2025

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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
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【压缩文件】 PCGAME-Learning.Factory.Update.v1.0.3.564-TENOKE

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【影视】 LinkedIn Learning - Learning Full-Stack JavaScript Development MongoDB, Node, and React [CoursesGhar]

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[8] 7. Working with MongoDB [CoursesGhar.Com]/[9] Alternatives MERN and Electrode.mp4 27.4 MB
[8] 7. Working with MongoDB [CoursesGhar.Com]/[3] Displaying the list of names.mp4 25.2 MB
[8] 7. Working with MongoDB [CoursesGhar.Com]/[1] Reading data from MongoDB.mp4 23.4 MB
[8] 7. Working with MongoDB [CoursesGhar.Com]/[6] Creating an API to propose a name.mp4 23.3 MB
[8] 7. Working with MongoDB [CoursesGhar.Com]/[7] Wiring the proposed new name form.mp4 23.0 MB
[2] 1. Getting Started [CoursesGhar.Com]/[2] Setting up project dependencies.mp4 17.4 MB
[4] 3. React Basics [CoursesGhar.Com]/[1] React elements and JSX.mp4 17.0 MB
[6] 5. Rendering on the Server [CoursesGhar.Com]/[3] Fix the checksum problem.mp4 15.7 MB
[2] 1. Getting Started [CoursesGhar.Com]/[1] Modern JavaScript.mp4 14.2 MB
[8] 7. Working with MongoDB [CoursesGhar.Com]/[4] Example script to update all data.mp4 11.7 MB
[3] 2. Node as a Web Server [CoursesGhar.Com]/[4] Using the EJS template language.mp4 11.1 MB
[5] 4. Working with Data [CoursesGhar.Com]/[3] Using Sass with Node.mp4 11.1 MB
[7] 6. Routing on Client and Server [CoursesGhar.Com]/[2] Navigating to a contest.mp4 11.0 MB
[3] 2. Node as a Web Server [CoursesGhar.Com]/[3] Creating an Express server.mp4 10.9 MB
[2] 1. Getting Started [CoursesGhar.Com]/[3] Project structure and configurations.mp4 10.8 MB
[7] 6. Routing on Client and Server [CoursesGhar.Com]/[5] A bit of refactoring.mp4 10.8 MB
[5] 4. Working with Data [CoursesGhar.Com]/[5] Fetching data from a remote API.mp4 9.7 MB
[4] 3. React Basics [CoursesGhar.Com]/[2] React components.mp4 9.6 MB
[3] 2. Node as a Web Server [CoursesGhar.Com]/[1] Node modules.mp4 9.5 MB
[4] 3. React Basics [CoursesGhar.Com]/[5] Component state.mp4 9.5 MB

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【影视】 [ WebToolTip.com ] Udemy - Data Science And Machine Learning With R - A Complete Masterc

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