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28- Solution - Modularize your code.mp4 50.7 MB
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Art of Teaching (Audio)/00. Professor Bio.mp3 1.1 MB
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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)/09. Demonstrations, Old and New.mp3 16.5 MB
Art of Teaching (Audio)/10. Teaching the Critical Skills.mp3 17.9 MB
Art of Teaching (Audio)/11. Engaging with Discussion, Part 1.mp3 17.3 MB
Art of Teaching (Audio)/12. Engaging with Discussion, Part 2.mp3 17.2 MB
Art of Teaching (Audio)/13. Cogent Thinking and Effective Writing.mp3 18.1 MB
Art of Teaching (Audio)/14. Teaching Revision and Editing.mp3 19.2 MB
Art of Teaching (Audio)/15. Coaching Students on Presentation Skills.mp3 16.8 MB
Art of Teaching (Audio)/16. One-on-One Teaching.mp3 16.7 MB
Art of Teaching (Audio)/17. The Learner's Perspective.mp3 17.0 MB
Art of Teaching (Audio)/18. Exams, Evaluation, and Feedback.mp3 18.8 MB
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【影视】 [CourseClub.Me] PacktPub - Apache Kafka A-Z with Hands-On Learning [Video]

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02.05-messaging_system.mkv 204.6 MB
02.09-kafka_components.mkv 176.2 MB
05.02-kafka_internals_overview.mkv 163.7 MB
05.03-replication_and_replica_types.mkv 145.9 MB
03.13-demo-setting_up_a_custom_partition.mkv 143.7 MB
03.05-kafka_producer_configuration_objects.mkv 129.2 MB
02.16-demo-setting_up_a_multi-node_single_broker_cluster.mkv 126.4 MB
03.09-demo-creating_a_custom_serializer.mkv 126.3 MB
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05.05-types_of_requests.mkv 116.4 MB
04.06-configuring_a_kafka_consumer-part_1.mkv 112.5 MB
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05.06-partition_allocation_file_management_and_segments.mkv 101.7 MB
02.15-demo-setting_up_a_single_node_and_single_broker_cluster.mkv 98.4 MB
03.02-overview_of_a_kafka_producer_and_its_architecture.mkv 97.9 MB
02.06-introduction_and_features_of_kafka.mkv 93.9 MB
04.03-consumer_groups.mkv 92.8 MB
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【影视】 [GigaCourse.Com] Udemy - AWS Certified Machine Learning Specialty MLSC01 NEW 2023

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9 - Deployment/126 - Online Inference Realtime.mp4 122.6 MB
6 - Machine learning/61 - Classification Model evaluation.mp4 113.3 MB
6 - Machine learning/63 - Deep Learning.mp4 99.6 MB
5 - Exploratory Data Analysis/44 - Data transformation TextImages.mp4 92.1 MB
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8 - Modelling/113 - Docker containers with Sagemaker.mp4 88.2 MB
4 - Data Engineering/32 - AWS Glue crawler transformation.mp4 86.8 MB
3 - Compute Storage and Database/14 - Amazon S3 Overview.mp4 85.2 MB
8 - Modelling/114 - XGBoost Churn prediction.mp4 66.9 MB
2 - AWS Accounts and IAM/9 - IAM Users Groups Roles and Policies.mp4 65.0 MB
8 - Modelling/90 - Amazon SageMaker.mp4 64.4 MB
5 - Exploratory Data Analysis/55 - Exam cram.mp4 61.4 MB
5 - Exploratory Data Analysis/54 - Amazon Elastic Map Reduce EMR.mp4 61.4 MB
6 - Machine learning/57 - Machine Learning categories.mp4 60.3 MB
4 - Data Engineering/24 - Amazon Kinesis Data Streams.mp4 58.0 MB
9 - Deployment/135 - XGBoost Churn prediction deployment.mp4 55.9 MB
5 - Exploratory Data Analysis/43 - Data transformation NumbersCategories.mp4 55.9 MB
3 - Compute Storage and Database/16 - Block vs File vs Object Storage.mp4 55.3 MB
5 - Exploratory Data Analysis/49 - Create a labelling job.mp4 54.2 MB
1 - Lets Get Started/1 - How to Use this Course.mp4 53.2 MB

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【影视】 Lynda - Learning Linux Command Line [AhLaN]

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4 - 3. Files, Folders, and Permissions/20 - File permissions.mp4 24.0 MB
4 - 3. Files, Folders, and Permissions/17 - Copy, move, and delete files and folders.mp4 22.6 MB
1 - Introduction/01 - Learning Linux command line.mp4 21.1 MB
5 - 4. Common Command-Line Tasks and Tools/30 - Working with TAR and ZIP archives.mp4 18.3 MB
4 - 3. Files, Folders, and Permissions/14 - Files, folders, and navigation.mp4 17.4 MB
3 - 2. Command-Line Basics/13 - Finding help for commands.mp4 16.2 MB
5 - 4. Common Command-Line Tasks and Tools/27 - Manipulate text with awk, sed, and sort.mp4 16.1 MB
2 - 1. Setting Up Your Environment/04 - Creating a Linux virtual machine.mp4 15.0 MB
6 - 5. A Peek at Some More Advanced Topics/37 - Install and update software with a package manager.mp4 14.4 MB
5 - 4. Common Command-Line Tasks and Tools/34 - Solution - Extract information from a text file.mp4 13.5 MB
6 - 5. A Peek at Some More Advanced Topics/36 - Find system hardware and disk information.mp4 13.5 MB
5 - 4. Common Command-Line Tasks and Tools/26 - Search for text in files and streams with grep.mp4 12.3 MB
5 - 4. Common Command-Line Tasks and Tools/25 - View text files with cat, head, tail, and less.mp4 12.1 MB
5 - 4. Common Command-Line Tasks and Tools/28 - Edit text with Vim.mp4 11.4 MB
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【影视】 A Beginner's Guide to Artificial Intelligence and Machine Learning

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12-next_steps.mkv 53.9 MB
01-introduction.mkv 50.2 MB
06-build_a_face_emotion_classifier.mkv 48.7 MB
08-better_face_emotion_classifier.mkv 46.5 MB
02-project.mkv 33.3 MB
10-taxonomy_of_ml_topics.mkv 26.4 MB
09-practice_dissecting_ml_problems.mkv 24.6 MB
04-how_to_learn_machine_learning.mkv 22.5 MB
05-worlds_simplest_model.mkv 22.1 MB
07-how_to_improve_your_model.mkv 20.3 MB
03-what_is_ai_ml.mkv 15.3 MB
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【影视】 [UdemyCourseDownloader] Machine Learning A-Z™ Hands-On Python & R In Data Science

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12 Logistic Regression/096 Logistic Regression in R - Step 5.mp4 98.3 MB
31 Artificial Neural Networks/225 ANN in Python - Step 2.mp4 89.0 MB
17 Decision Tree Classification/123 Decision Tree Classification in R.mp4 71.5 MB
14 Support Vector Machine (SVM)/105 SVM in R.mp4 68.5 MB
18 Random Forest Classification/127 Random Forest Classification in R.mp4 67.2 MB
32 Convolutional Neural Networks/256 CNN in Python - Step 9.mp4 65.4 MB
18 Random Forest Classification/126 Random Forest Classification in Python.mp4 65.1 MB
07 Support Vector Regression (SVR)/068 SVR in Python.mp4 63.1 MB
05 Multiple Linear Regression/045 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK.mp4 62.0 MB
27 Upper Confidence Bound (UCB)/178 Upper Confidence Bound in R - Step 3.mp4 60.6 MB
36 Kernel PCA/274 Kernel PCA in R.mp4 59.3 MB
24 Apriori/161 Apriori in R - Step 3.mp4 59.3 MB
08 Decision Tree Regression/073 Decision Tree Regression in R.mp4 59.0 MB
13 K-Nearest Neighbors (K-NN)/101 K-NN in R.mp4 58.5 MB
28 Thompson Sampling/183 Thompson Sampling in Python - Step 1.mp4 58.2 MB
15 Kernel SVM/111 Kernel SVM in Python.mp4 57.5 MB
06 Polynomial Regression/063 Polynomial Regression in R - Step 3.mp4 57.5 MB
06 Polynomial Regression/058 Polynomial Regression in Python - Step 3.mp4 57.1 MB
05 Multiple Linear Regression/046 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4 56.9 MB
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【影视】 [FreeAllCourse.Com] Udemy - Deep Learning Advanced Computer Vision (GANs, SSD, +More!)

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11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
7. Class Activation Maps/2. Class Activation Maps (Code).mp4 109.9 MB
10. Basics Review/2. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
8. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 95.5 MB
5. Object Detection (SSD RetinaNet)/9. Using Pretrained RetinaNet.mp4 92.5 MB
8. GANs (Generative Adversarial Networks)/3. GAN Code.mp4 86.3 MB
10. Basics Review/1. (Review) Tensorflow Basics.mp4 85.5 MB
11. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
9. Object Localization Project/16. Localization Code (pt 7).mp4 80.9 MB
10. Basics Review/4. (Review) Keras Neural Network in Code.mp4 69.4 MB
9. Object Localization Project/1. Localization Introduction and Outline.mp4 66.0 MB
5. Object Detection (SSD RetinaNet)/12. RetinaNet with Custom Dataset (pt 3).mp4 64.8 MB
5. Object Detection (SSD RetinaNet)/11. RetinaNet with Custom Dataset (pt 2).mp4 63.5 MB
9. Object Localization Project/12. Localization Code (pt 5).mp4 62.8 MB
9. Object Localization Project/6. Localization Code (pt 2).mp4 61.5 MB
2. Review/4. Review of CNNs in Code.mp4 59.6 MB
9. Object Localization Project/14. Localization Code (pt 6).mp4 59.4 MB
9. Object Localization Project/4. Localization Code (pt 1).mp4 56.4 MB
7. Class Activation Maps/1. Class Activation Maps (Theory).mp4 56.0 MB
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【影视】 [FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

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5. Pandas/28. Pandas Project Exercise Solutions.mp4 190.4 MB
8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
5. Pandas/26. Pandas Pivot Tables.mp4 135.0 MB
7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
5. Pandas/4. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
4. NumPy/2. NumPy Arrays.mp4 115.0 MB
5. Pandas/23. Pandas Input and Output - HTML Tables.mp4 111.8 MB
5. Pandas/15. GroupBy Operations - Part Two - MultiIndex.mp4 111.0 MB
5. Pandas/25. Pandas Input and Output - SQL Databases.mp4 108.2 MB
5. Pandas/21. Pandas - Time Methods for Date and Time Data.mp4 106.9 MB
10. Linear Regression/24. L1 Regularization - Lasso Regression - Background and Implementation.mp4 104.9 MB
1. Introduction to Course/3. Anaconda Python and Jupyter Install and Setup.mp4 103.6 MB
5. Pandas/10. Pandas - Useful Methods - Apply on Multiple Columns.mp4 103.3 MB
5. Pandas/13. Missing Data - Pandas Operations.mp4 102.6 MB
5. Pandas/7. DataFrames - Part Four - Working with Rows.mp4 101.4 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Applied Physics for Data Science and Machine Learning

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~Get Your Files Here !/02 - A Brief Introduction to Applied Physics/002 Vectors and Scalars + Trigonometry.mp4 798.6 MB
~Get Your Files Here !/05 - Types of Motion, Theories on Light, Interference, Diffraction and Polarization/001 Types of Motion, Theories on Light, Interference, Diffraction and Polarization.mp4 365.3 MB
~Get Your Files Here !/02 - A Brief Introduction to Applied Physics/001 Properties of Matters.mp4 225.5 MB
~Get Your Files Here !/03 - Heat and Thermodynamic/003 Laws of Thermodynamic and Entropy + Thermodynamic Equilibrium.mp4 168.1 MB
~Get Your Files Here !/02 - A Brief Introduction to Applied Physics/005 Viscosity and Surface Tension.mp4 162.0 MB
~Get Your Files Here !/03 - Heat and Thermodynamic/001 A Brief Introductory Lecture on Heat.mp4 159.0 MB
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~Get Your Files Here !/02 - A Brief Introduction to Applied Physics/003 Types of Flowing Fluids.mp4 107.0 MB
~Get Your Files Here !/02 - A Brief Introduction to Applied Physics/004 Bernoulli's Equations.mp4 80.6 MB
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~Get Your Files Here !/02 - A Brief Introduction to Applied Physics/002 Vectors and Scalars + Trigonometry_en.vtt 32.3 kB
~Get Your Files Here !/03 - Heat and Thermodynamic/003 Laws of Thermodynamic and Entropy + Thermodynamic Equilibrium_en.vtt 31.9 kB
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【影视】 Packtpub - Learning AngularJS Testing

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4.1 Creating and Testing the $resource Service Using Mocks and Spies-4917972.mp4 22.5 MB
1.4 Configuring Karma for Testing-4917944.mp4 20.6 MB
1.3 Setting Up the Project Structure-4917932.mp4 18.2 MB
4.3 Displaying Information with a Directive (from the Service)-4917968.mp4 16.8 MB
3.2 Unit Testing the accordion Directive-4917960.mp4 14.1 MB
2.1 Testing Controllers That Have No Dependencies-4917958.mp4 13.7 MB
2.2 Testing Controllers That Have a Dependency-4917956.mp4 13.1 MB
3.3 An End2End Test of the Controller That Uses the accordion Directive-4917948.mp4 11.8 MB
4.4 Displaying Information with a Controller-4917966.mp4 11.2 MB
2.3 End2End Testing Two Controllers-4917950.mp4 10.8 MB
1.2 Setting Up Karma and Jasmine with Grunt Task Runner-4917938.mp4 9.7 MB
4.2 Creating a REST API NodeJS Server with Fake Data-4917962.mp4 8.5 MB
3.1 Creating an accordion Directive-4917946.mp4 8.3 MB
1.1 The Course Overview-4917934.mp4 6.5 MB

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