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【文档书籍】 Collins Easy Learning Spanish Grammar In Colour

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Collins Easy Learning Spanish Grammar In Colour.pdf 161.7 MB
Collins Easy Learning Spanish Grammar In Colour.jpg 357.5 kB

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【影视】 Learning.to.Drive.2014.1080p.BluRay.H264.AAC-RARBG

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Learning.to.Drive.2014.1080p.BluRay.H264.AAC-RARBG.mp4 1.8 GB
RARBG_DO_NOT_MIRROR.exe 99 Bytes
RARBG.txt 30 Bytes

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【影视】 Learning.to.Love.Again.2020.1080p.WEBRip.x264-RARBG

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Learning.to.Love.Again.2020.1080p.WEBRip.x264-RARBG.mp4 1.8 GB
Subs/2_English.srt 118.5 kB
RARBG_DO_NOT_MIRROR.exe 99 Bytes
RARBG.txt 30 Bytes

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【其他】 The Lost Art of Listening, Second Edition_ How Learning to Listen Can Improve Relationships.m4a

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The Lost Art of Listening, Second Edition_ How Learning to Listen Can Improve Relationships.m4a 330.4 MB

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【影视】 Babes - Abella Danger - Hands-on Learning

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Babes - Abella Danger - Hands-on Learning.mp4 341.8 MB
1.jpg 459.9 kB
pic.jpg 173.3 kB
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【影视】 PervMom.Olive.Glass.Learning.With.Step.Mom.25.10.2020.Roleplay.Milf.mp4

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【影视】 [FreeCourseLab.com] Udemy - Data Science and Machine Learning Bootcamp with R

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18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 57.1 MB
19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 50.9 MB
21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 50.1 MB
23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 49.7 MB
14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 49.4 MB
20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 49.2 MB
33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 48.5 MB
20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 48.2 MB
15. Data Visualization with R/2. Histograms.mp4 47.8 MB
1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 47.8 MB
6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 42.9 MB
24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 42.4 MB
22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 41.5 MB
15. Data Visualization with R/3. Scatterplots.mp4 39.4 MB
12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 38.5 MB
32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 37.4 MB
12. R Programming Basics/8. Functions.mp4 36.8 MB
18. Capstone Data Project/1. Introduction to Capstone Project.mp4 36.7 MB
9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 35.8 MB

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【影视】 [FreeCourseSite.com] Udemy - Complete Machine Learning and Data Science Zero to Mastery

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5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
9. Scikit-learn Creating Machine Learning Models/38. Tuning Hyperparameters.mp4 184.1 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4 166.9 MB
9. Scikit-learn Creating Machine Learning Models/44. Putting It All Together.mp4 166.0 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictons.mp4 162.5 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4 153.3 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
9. Scikit-learn Creating Machine Learning Models/14. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Feature Importance.mp4 149.2 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 3.mp4 144.6 MB

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【影视】 [SkillFactory] Deep Learning и Нейронные сети

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Модуль 4. Задача оптимизации/DL_4 модуль_9 Матричные операции.mp4 194.0 MB
Модуль 6. Обработка естественного языка (NLP)/DL_6 модуль_6 Продвинутые сети.mp4 180.1 MB
Модуль 6. Обработка естественного языка (NLP)/DL_6 модуль_1 Введение.mp4 159.5 MB
Модуль 4. Задача оптимизации/DL_4 модуль_7 Стохастический градиентный спуск (SGD).mp4 153.6 MB
Модуль 6. Обработка естественного языка (NLP)/DL_6 модуль_4 Рекуррентные нейронные сети.mp4 150.4 MB
Модуль 6. Обработка естественного языка (NLP)/DL_6 модуль_8 MANY-TO-ONE.mp4 149.6 MB
Модуль 6. Обработка естественного языка (NLP)/DL_6 модуль_9 ONE-TO-MANY.mp4 149.1 MB
Модуль 4. Задача оптимизации/DL_4 модуль_6 Производная функции.mp4 143.5 MB
Модуль 7. Сегментация и детектирование объектов/DL_7 модуль_4 Методы на основе глубокого обучения.mp4 139.8 MB
Модуль 6. Обработка естественного языка (NLP)/DL_6 модуль_12 Механизм внимания ATTENTION.mp4 136.0 MB
Модуль 6. Обработка естественного языка (NLP)/DL_6 модуль_14 Отказ от рекуррентных сетей.mp4 126.7 MB
Модуль 1. Введение в нейронные сети Введение/DL_1 модуль_10 Состязательные сети.mp4 121.7 MB
Модуль 6. Обработка естественного языка (NLP)/DL_6 модуль_15 TRANSFORMER.mp4 121.7 MB
Модуль 4. Задача оптимизации/DL_4 модуль_2 Инициализация весов.mp4 121.6 MB
Модуль 1. Введение в нейронные сети Введение/DL_1 модуль_3 Нейронные сети.mp4 119.6 MB
Модуль 6. Обработка естественного языка (NLP)/DL_6 модуль_10 ONE-TO-MANY. Языковая модель.mp4 119.2 MB
Модуль 1. Введение в нейронные сети Введение/DL_1 модуль_7 Что такое Deep Learning.mp4 109.9 MB
Модуль 6. Обработка естественного языка (NLP)/DL_6 модуль_11 SEQ 2 SEQ.mp4 101.9 MB
Модуль 9. What's next Продвинутые нейронные сети/DL_9 модуль_2 Автоэнкодеры. Часть 1.mp4 101.4 MB
Модуль 9. What's next Продвинутые нейронные сети/DL_9 модуль_1 Введение. Продвинутые задачи.mp4 101.2 MB

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【压缩文件】 [Tutorialsplanet.NET] Udemy - Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs

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3/1.2 DeepLearningCV2.tar.gz.gz 674.4 MB
18/3.1 age-gender-estimation.tar.gz.gz 579.0 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3.1 simpsons.tar.gz.gz 576.2 MB
15/4.1 monkey_breed.zip.zip 573.2 MB
25. Face Recognition with VGGFace/2.1 vgg_face_weights.h5.tar.gz.gz 546.0 MB
12/4.1 fruits-360.tar.gz.gz 394.3 MB
18/3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.mp4 273.4 MB
18/2. Build an Emotion, Facial Expression Detector.mp4 211.8 MB
19/5. Finding the Nuclei in Divergent Images.mp4 179.4 MB
22/4. Build your own YOLO Object Detector - Detecting London Underground Signs.mp4 166.8 MB
18/2.1 fer2013.zip.zip 150.2 MB
20. Principles of Object Detection/3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.mp4 142.5 MB
15/3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.mp4 141.9 MB
23. DeepDream & Neural Style Transfers Make AI Generated Art/3. Neural Style Transfer.mp4 130.8 MB
25. Face Recognition with VGGFace/1.1 25. Face Recognition All Notebooks.tar.gz.gz 126.6 MB
6. Neural Networks Explained in Detail/9. Regularization, Overfitting, Generalization and Test Datasets.mp4 124.1 MB
24/5.1 GenerativeNetworks.tar.gz.gz 122.7 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/26. Sorting Contours - Sort Those Shapes By Size.mp4 111.3 MB
22/3. Experiment with YOLO on still images, webcam and videos.mp4 109.6 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4 108.9 MB

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【压缩文件】 [ FreeCourseWeb.com ] Lynda - Learning QGIS.zip

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[ FreeCourseWeb.com ] Lynda - Learning QGIS.zip 754.2 MB

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【其他】 Lynda - Learning to Use Stock Photos and Assets

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Exercise Files/Template 01.psd 69.2 MB
7.6. Editing Stock Images and Templates/15.Simple edits to customize a stock image.mp4 16.2 MB
Exercise Files/Adjusting Color.jpeg 8.6 MB
Exercise Files/Adding Logo.jpeg 7.1 MB
5.4. Finding the Right Image/12.Using lightboxes.mp4 7.1 MB
5.4. Finding the Right Image/10.Choosing a stock site.mp4 5.9 MB
3.2. Types of Stock Imagery/06.Alternatives to stock photography.mp4 5.9 MB
5.4. Finding the Right Image/11.Searching and filters.mp4 5.6 MB
3.2. Types of Stock Imagery/05.Stock illustration, photography, video, and templates.mp4 5.0 MB
1.Introduction/01.Welcome.mp4 4.9 MB
Exercise Files/Creative Cropping.jpeg 4.5 MB
7.6. Editing Stock Images and Templates/16.Using stock templates.mp4 4.3 MB
6.5. Purchasing Stock Images/13.Downloading samples.mp4 3.6 MB
4.3. Royalty Agreements and Licensing/09.Enhanced_extended licensing options.mp4 3.0 MB
4.3. Royalty Agreements and Licensing/08.Common licensing agreements.mp4 2.5 MB
4.3. Royalty Agreements and Licensing/07.Royalty agreements for personal vs. commercial use.mp4 2.1 MB
Exercise Files/Ocean Black and White.jpeg 2.1 MB
2.1. Why Use Stock Images/03.Reasons to use stock photography.mp4 2.0 MB
6.5. Purchasing Stock Images/14.Purchasing stock assets.mp4 1.6 MB
2.1. Why Use Stock Images/04.Choosing the right stock solution.mp4 1.2 MB

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【影视】 [FreeTutorials.Us] Udemy - A-Z Machine Learning using Azure Machine Learning (AzureML)

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7. Regression Analysis/3. [Hands On] - Linear Regression model using OLS.mp4 95.5 MB
12. Text Analytics and Natural Language Processing/5. [Hands On] - Classify Customer Complaints using Text Analytics.mp4 91.7 MB
12. Text Analytics and Natural Language Processing/4. Feature Hashing.mp4 78.8 MB
1. Basics of Machine Learning/4. Why Machine Learning is the Future.mp4 72.1 MB
10. Feature Selection - Select a..highest impact/9. [Hands On] - Fisher Based LDA - Experiment.mp4 64.1 MB
12. Text Analytics and Natural Language Processing/2. Text Pre-Processing.mp4 57.3 MB
4. Classification/2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.mp4 54.7 MB
3. Data Processing/1. [Hands On] - Data Input-Output - Upload Data.mp4 53.5 MB
13. Thank You and Bonus Lecture/1. Way Forward.mp4 52.4 MB
12. Text Analytics and Natural Language Processing/3. Bag Of Words and N-Gram Models for Text features.mp4 52.4 MB
10. Feature Selection - Select a..highest impact/2. Pearson Correlation Coefficient.mp4 49.5 MB
12. Text Analytics and Natural Language Processing/1. What is Text Analytics or Natural Language Processing.mp4 47.0 MB
3. Data Processing/5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.mp4 40.8 MB
11. Recommendation System/5. [Hands On] - Restaurant Recommendation Experiment.mp4 37.9 MB
3. Data Processing/6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.mp4 37.2 MB
4. Classification/12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.mp4 36.8 MB
11. Recommendation System/1. What is a Recommendation System.mp4 36.7 MB
8. Clustering/2. [Hands On] - Cluster Analysis Experiment 1.mp4 32.4 MB
4. Classification/1. Logistic Regression - What is Logistic Regression.mp4 32.2 MB
4. Classification/4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.mp4 30.8 MB

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【安装包】 Learning-Factory-v0.8.15_setup.exe

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Learning-Factory-v0.8.15_setup.exe 189.0 MB

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【影视】 VIPissy.21.03.09.Amaris.And.Leidy.De.Leon.Learning.From.Leidy.XXX.1080p.MP4-WRB[XvX]

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vipissy.21.03.09.amaris.and.leidy.de.leon.learning.from.leidy.mp4 1.5 GB
[XvX]Endorsed by torrentgalaxy.to .nfo 678 Bytes

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Machine Learning Crash Course for Beginners using Python.zip

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[ FreeCourseWeb.com ] Udemy - Machine Learning Crash Course for Beginners using Python.zip 3.5 GB

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【压缩文件】 Learning Electron Build Desktop Apps using JS+HTML+CSS

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Learning Electron Build Desktop Apps using JS+HTML+CSS.zip 2.9 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

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【压缩文件】 [ FreeCourseWeb.com ] Packt - Deep Learning and Neural Networks using Python - Keras- The Complete Beginners Guide.zip

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[ FreeCourseWeb.com ] Packt - Deep Learning and Neural Networks using Python - Keras- The Complete Beginners Guide.zip 3.9 GB

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【影视】 [FreeCourseSite.com] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python

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5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 13.2 MB
3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB

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【压缩文件】 [ FreeCourseWeb ] Lynda - Learning Articulate Storyline 360 (2019).rar

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[ FreeCourseWeb ] Lynda - Learning Articulate Storyline 360 (2019).rar 466.0 MB

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