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【影视】 [Tutorialsplanet.NET] Udemy - Learning Python for Data Analysis and Visualization

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10. Machine Learning/16. Decision Trees and Random Forests.mp4 252.2 MB
9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 166.6 MB
10. Machine Learning/19. Natural Language Processing Part 3.mp4 156.2 MB
10. Machine Learning/20. Natural Language Processing Part 4.mp4 118.2 MB
10. Machine Learning/18. Natural Language Processing Part 2.mp4 107.0 MB
10. Machine Learning/9. Logistic Regression Part 4.mp4 102.7 MB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 98.5 MB
10. Machine Learning/13. Support Vector Machines - Part 2.mp4 90.0 MB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 82.7 MB
10. Machine Learning/5. Linear Regression Part 4.mp4 82.5 MB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 77.1 MB
10. Machine Learning/6. Logistic Regression Part 1.mp4 75.3 MB
2. Setup/3. iPythonJupyter Notebook Overview.mp4 72.3 MB
10. Machine Learning/4. Linear Regression Part 3.mp4 72.2 MB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 71.1 MB
10. Machine Learning/15. Naive Bayes Part 2.mp4 68.7 MB
10. Machine Learning/12. Support Vector Machines Part 1.mp4 68.1 MB
10. Machine Learning/17. Natural Language Processing Part 1.mp4 65.8 MB
8. Data Visualization/3. Kernel Density Estimate Plots.mp4 64.9 MB
10. Machine Learning/2. Linear Regression Part 1.mp4 61.5 MB

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【影视】 Reinforcement Learning Foundations

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[TutsNode.com] - Reinforcement Learning Foundations/01 Reinforcement learning in a nutshell.mp4 22.0 MB
[TutsNode.com] - Reinforcement Learning Foundations/04 Markov decision process.mp4 18.2 MB
[TutsNode.com] - Reinforcement Learning Foundations/16 SARSA.mp4 15.9 MB
[TutsNode.com] - Reinforcement Learning Foundations/03 A basic RL problem.mp4 15.8 MB
[TutsNode.com] - Reinforcement Learning Foundations/06 Monte Carlo method.mp4 12.8 MB
[TutsNode.com] - Reinforcement Learning Foundations/14 Additional modifications.mp4 11.1 MB
[TutsNode.com] - Reinforcement Learning Foundations/02 Terms in reinforcement learning.mp4 10.7 MB
[TutsNode.com] - Reinforcement Learning Foundations/17 SARSAMAX (Q-learning).mp4 9.6 MB
[TutsNode.com] - Reinforcement Learning Foundations/05 A basic RL solution.mp4 9.0 MB
[TutsNode.com] - Reinforcement Learning Foundations/10 Exploration and exploitation.mp4 8.1 MB
[TutsNode.com] - Reinforcement Learning Foundations/18 Expected SARSA.mp4 7.4 MB
[TutsNode.com] - Reinforcement Learning Foundations/12 First visit and every visit MC prediction.mp4 7.2 MB
[TutsNode.com] - Reinforcement Learning Foundations/22 Your reinforcement learning journey.mp4 6.5 MB
[TutsNode.com] - Reinforcement Learning Foundations/15 The setting.mp4 5.4 MB
[TutsNode.com] - Reinforcement Learning Foundations/11 Monte Carlo prediction.mp4 4.8 MB
[TutsNode.com] - Reinforcement Learning Foundations/19 Deep reinforcement learning.mp4 4.5 MB
[TutsNode.com] - Reinforcement Learning Foundations/20 Multi-agent reinforcement learning.mp4 4.4 MB
[TutsNode.com] - Reinforcement Learning Foundations/21 Inverse reinforcement learning.mp4 4.3 MB
[TutsNode.com] - Reinforcement Learning Foundations/07 Temporal difference methods.mp4 4.0 MB
[TutsNode.com] - Reinforcement Learning Foundations/08 Other RL algorithms.mp4 3.3 MB

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【影视】有膜有样@Whore Training Learning The Ropes（妓女调教）

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有膜有样@新色界@Whore Training Learning The Ropes（妓女调教） cd1.avi 733.8 MB
有膜有样@新色界@Whore Training Learning The Ropes（妓女调教） cd2.avi 732.4 MB
Whore Training Learning The Ropes.jpg 185.5 kB
Whore Training Learning The Ropes b.jpg 136.0 kB
Whore Training Learning The Ropes a.jpg 97.7 kB
有膜有样@新色界欢迎您.txt 2.0 kB
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【影视】 [FTUForum.com] [UDEMY] Beginner to Advanced Guide on Machine Learning with R Tool [FTU]

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7. Module-7 Regression/7. 7.7 Implementation of Forecasting.mp4 40.0 MB
3. Module-3 Classification/5. 3.5 Implementation of Naive-Bayes Classifier.mp4 35.7 MB
7. Module-7 Regression/6. 7.6 Forecasting.mp4 20.8 MB
1. Module-1 Introduction to Course/1. 1.1 Introduction to the Course.mp4 18.5 MB
2. Module-2 Introduction to validation and its Methods/3. 2.3 Caret package.mp4 16.5 MB
3. Module-3 Classification/3. 3.3 Implementation of KNN Algorithm.mp4 15.4 MB
7. Module-7 Regression/2. 7.2 Implementation of Linear Regression.mp4 12.9 MB
4. Module-4 Black Box Method-Neural network and SVM/3. 4.3 Implement Neural Network in R.mp4 12.9 MB
6. Module-6 Clustering/2. 6.2 K-Means Clustering.mp4 11.8 MB
5. Module-5 Tree Based Models/4. 5.4 Boosting.mp4 11.3 MB
7. Module-7 Regression/3. 7.3 Multiple Covariates Regression.mp4 10.8 MB
4. Module-4 Black Box Method-Neural network and SVM/7. 4.7 Implementation of SVM in R.mp4 9.3 MB
5. Module-5 Tree Based Models/2. 5.2 Implementation of Decision Tree.mp4 9.1 MB
6. Module-6 Clustering/3. 6.3 Implementation of K-Means Clustering.mp4 8.5 MB
5. Module-5 Tree Based Models/3. 5.3 Bagging.mp4 8.1 MB
5. Module-5 Tree Based Models/6. 5.6 Implementation of Random Forest.mp4 7.8 MB
6. Module-6 Clustering/4. 6.4 Hierarchical Clustering.mp4 7.5 MB
7. Module-7 Regression/5. 7.5 Implementation of Logistic Regression.mp4 6.9 MB
3. Module-3 Classification/7. 3.7 Implementation of Linear Discriminant Analysis.mp4 6.7 MB
3. Module-3 Classification/2. 3.2 KNN- K Nearest Neighbors.mp4 6.4 MB

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【影视】 Big Butts Like It Big Lela Star Learning The Hard Way 720p x265 backcrash.mkv

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Big Butts Like It Big Lela Star Learning The Hard Way 720p x265 backcrash.mkv 245.9 MB

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【影视】 [FreeCoursesOnline.Me] [Packtpub.Com] Real-World Machine Learning Projects Using TensorFlow - [FCO]

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05.Traffic Sign Classifier/0502.Implementing Traffic Sign Classifier.mp4 132.1 MB
01.Getting Started with TensorFlow/0104.Warming Up Examples.mp4 95.0 MB
04.Anomaly Detection Algorithm/0402.Server Computer's Behavior.mp4 75.4 MB
03.Linear Regression with Multi Variable/0303.Problem Solution.mp4 69.3 MB
02.Linear Regression with One Variable/0203.Problem Statement and Solution.mp4 55.0 MB
02.Linear Regression with One Variable/0201.What Is Machine Learning.mp4 19.8 MB
02.Linear Regression with One Variable/0202.Model Representation and Gradient Descent.mp4 15.0 MB
01.Getting Started with TensorFlow/0103.Installing TensorFlow.mp4 14.6 MB
01.Getting Started with TensorFlow/0101.The Course Overview.mp4 12.7 MB
01.Getting Started with TensorFlow/0102.Installing and Preparing the Environment.mp4 10.2 MB
04.Anomaly Detection Algorithm/0401.What Is Anomaly Detection.mp4 5.5 MB
05.Traffic Sign Classifier/0501.Introduction to Traffic Sign Classifier.mp4 3.7 MB
03.Linear Regression with Multi Variable/0301.Model Representation.mp4 2.2 MB
03.Linear Regression with Multi Variable/0302.Problem Statement.mp4 1.5 MB
Exercise Files/exercise_files.zip 208.3 kB
Discuss.FreeTutorials.Us.html 169.7 kB
FreeCoursesOnline.Me.html 110.9 kB
FreeTutorials.Eu.html 104.7 kB
[TGx]Downloaded from torrentgalaxy.org.txt 524 Bytes
How you can help Team-FTU.txt 259 Bytes

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【影视】 [FreeCoursesOnline.Me] [Packt] Hands-On Problem Solving for Machine Learning [FCO]

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6.Diagnosing Issues with Models/19.Dealing with Overfitting Using Regularization.mp4 168.7 MB
1.Working with Machine Learning/02.Goals and Variations in Machine Learning.mp4 113.8 MB
5.Predicting the Future/16.Find the Best Model with Hyperparameter Search.mp4 40.9 MB
4.Logistic Regression Classify/11.Exploring and Cleaning the Plants Dataset.mp4 40.2 MB
6.Diagnosing Issues with Models/17.Understanding Our Accuracy in Predicting Numbers.mp4 39.5 MB
5.Predicting the Future/15.Create Complex Models with Scikit-learn Pipelines.mp4 38.8 MB
4.Logistic Regression Classify/13.Implementing Train-Test-Splits and Logistic Regression.mp4 38.7 MB
2.Data Wrangling/06.Parsing Timestamps and Splitting Columns.mp4 38.3 MB
1.Working with Machine Learning/03.Installing WinPython and Using Jupyter Notebooks.mp4 36.3 MB
5.Predicting the Future/14.Build a Robust Model with Cross Validation.mp4 34.4 MB
3.Linear Regression — Predict Median Living Costs/10.Troubleshooting Linear Regression.mp4 34.4 MB
3.Linear Regression — Predict Median Living Costs/09.Implementing Linear Regression with Scikit-learn.mp4 33.3 MB
3.Linear Regression — Predict Median Living Costs/08.Understanding Linear Regression.mp4 33.1 MB
2.Data Wrangling/07.Loading Data from Excel, CSVs, and SQL.mp4 32.5 MB
1.Working with Machine Learning/04.Exploring Your Data Using Pandas.mp4 32.4 MB
2.Data Wrangling/05.Types of Messy Data and How to Clean Them.mp4 32.1 MB
6.Diagnosing Issues with Models/18.Assessing Our Correctness in Predicting Labels.mp4 31.4 MB
1.Working with Machine Learning/01.The Course Overview.mp4 25.4 MB
4.Logistic Regression Classify/12.Understanding Logistic Regression.mp4 25.2 MB
FreeCoursesOnline.Me.html 110.9 kB

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【影视】 [DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

收录时间:2021-05-11 文档个数:264 文档大小:7.5 GB 最近下载:2024-05-22 人气:117 磁力链接

18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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【影视】 [FreeCourseLab.com] Udemy - Machine Learning Practical 6 Real-World Applications

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2. Breast Cancer Classification/8. Improving the Model.mp4 199.0 MB
2. Breast Cancer Classification/5. Data Visualisation.mp4 147.3 MB
3. Fashion Class Classification/3. Data Visualisation.mp4 136.5 MB
3. Fashion Class Classification/7. Model Training Part IV.mp4 134.4 MB
3. Fashion Class Classification/6. Model Training Part III.mp4 132.1 MB
3. Fashion Class Classification/4. Model Training Part I.mp4 108.8 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/2. Data.mp4 106.9 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/12. Grid Search Part 2.mp4 102.8 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/10. Model Building Part 2.mp4 98.0 MB
3. Fashion Class Classification/1. Business Challenge.mp4 96.7 MB
2. Breast Cancer Classification/7. Model Evaluation.mp4 95.8 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/9. Feature Scaling & Balancing.mp4 83.6 MB
2. Breast Cancer Classification/4. Challenge in Machine Learning Vocabulary.mp4 82.9 MB
3. Fashion Class Classification/5. Model Training Part II.mp4 82.1 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/2. Data.mp4 81.2 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/1. Introduction.mp4 78.8 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/11. Grid Search Part 1.mp4 78.0 MB
3. Fashion Class Classification/8. Model Evaluation.mp4 77.2 MB
4. Directing Customers to Subscription Through App Behavior Analysis/10. Model Building.mp4 75.8 MB
4. Directing Customers to Subscription Through App Behavior Analysis/8. Feature Engineering - Screens.mp4 74.5 MB

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【影视】 [self-learning] Курс по T-SQL Путь программиста от новичка к профессионалу Уровень 4 – Администратор (2021)

收录时间:2021-05-12 文档个数:64 文档大小:461.9 MB 最近下载:2025-05-16 人气:9482 磁力链接

Урок 2 – Системные объекты/Лекция (видео).mp4 54.3 MB
Урок 12 – Сжатие базы данных/Лекция (видео).mp4 48.1 MB
Урок 4 – Безопасность/Лекция (видео).mp4 45.8 MB
Урок 5 – Операторы определения доступа к данным/Лекция (видео).mp4 43.2 MB
Урок 1 – Установка Microsoft SQL Server на Linux/Лекция (видео).mp4 38.3 MB
Урок 6 – Переиндексация базы данных/Лекция (видео).mp4 34.6 MB
Урок 0 - Описание курса/Введение.mp4 33.6 MB
Урок 3 – Системная процедура sp_configure/Лекция (видео).mp4 32.6 MB
Урок 0 - Описание курса/Видео-инструкция – Как пользоваться сайтом Self-Learning.mp4 32.6 MB
Урок 9 – Восстановление базы данных/Лекция (видео).mp4 22.5 MB
Урок 10 – Отсоединение и присоединение баз данных/Лекция (видео).mp4 22.0 MB
Урок 11 – Перемещение файлов базы данных/Лекция (видео).mp4 19.0 MB
Урок 8 – Создание архива базы данных/Лекция (видео).mp4 15.1 MB
Урок 7 – Параметры базы данных/Лекция (видео).mp4 10.7 MB
Урок 1 – Установка Microsoft SQL Server на Linux/Лекция.pdf 2.1 MB
Урок 1 – Установка Microsoft SQL Server на Linux/Как установить Linux Ubuntu Server 18.04 LTS_ Пошаговая инструкция для новичков _ Info-Comp.ru - IT-блог для начинающих.pdf 1.4 MB
Урок 0 - Описание курса/Скрин личного кабинета.pdf 1.2 MB
Урок 2 – Системные объекты/Лекция.pdf 1.1 MB
Урок 3 – Системная процедура sp_configure/Лекция.pdf 542.8 kB
Урок 5 – Операторы определения доступа к данным/Лекция.pdf 394.3 kB

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【影视】 [FreeCoursesOnline.Me] [MANNING] Deep Learning Crash Course [FCO]

收录时间:2021-05-12 文档个数:29 文档大小:916.4 MB 最近下载:2025-05-15 人气:1739 磁力链接

02 - Why Machine Learning.mp4 102.3 MB
01 - Why this course.mp4 94.6 MB
04 - How does a neuron work.mp4 77.8 MB
20 - Alternative - Hosting your model on Google Cloud ML.mp4 74.5 MB
15 - Training a network with TensorFlow and the Keras API.mp4 62.4 MB
13 - Our first network with TensorFlow and the Keras API.mp4 56.0 MB
14 - Evaluating our model.mp4 55.6 MB
06 - Activation Functions.mp4 43.9 MB
08 - How does a network learn.mp4 43.4 MB
11 - Python Notebooks on Colab.mp4 32.0 MB
12 - Getting to know our data.mp4 31.7 MB
16 - Making our model more general.mp4 30.5 MB
17 - Summing up and saving our final model.mp4 29.0 MB
07 - Fully Connected Feed Forward Networks.mp4 26.8 MB
03 - Our problem in the TensorFlow Playground.mp4 25.3 MB
05 - Drawing Decision Boundaries with a single neuron.mp4 23.0 MB
18 - Converting the Keras model for tensorflow.js.mp4 20.8 MB
19 - Gluing together our JavaScript application.mp4 19.0 MB
22 - Summary.mp4 18.3 MB
09 - Finding the sweet spot.mp4 17.1 MB

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【影视】 MomsBangTeens.15.01.12.Ava.Addams.And.Shae.Summers.Learning.Curve.XXX.1080p.MP4-KTR[rarbg]

收录时间:2021-05-12 文档个数:4 文档大小:2.9 GB 最近下载:2025-05-15 人气:2259 磁力链接

mbt.15.01.12.ava.addams.and.shae.summers.learning.curve.mp4 2.8 GB
Sample/mbt.15.01.12.ava.addams.and.shae.summers.learning.curve-sample.mp4 82.3 MB
mbt.15.01.12.ava.addams.and.shae.summers.learning.curve.nfo 7.0 kB
RARBG.com.txt 34 Bytes

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【影视】 TTC - Learning Italian Step by Step and Region by Region

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24. Comparatives, Superlatives, and Arrivederci! Tuscany II.mp4 533.7 MB
3. Nouns and Adjectives Sicily II.mp4 526.1 MB
1. Benvenuti to Italian and Italy’s 20 Regions!.mp4 495.2 MB
15. Reciprocal Verbs and Negatives Veneto.mp4 489.0 MB
13. Irregular Nouns Basilicata.mp4 479.2 MB
14. Reflexive Pronouns and Verbs The Marches.mp4 478.3 MB
7. Possessive Adjectives and Pronouns Puglia.mp4 475.0 MB
5. Verbs Ending in -ere Lazio.mp4 468.1 MB
23. The Future Tense Lazio II.mp4 461.4 MB
4. Verbs Ending in -are Lombardy.mp4 461.0 MB
8. Prepositions Abruzzo and Molise.mp4 458.1 MB
22. The Imperative with Pronouns Campania II.mp4 457.7 MB
6. Verbs Ending in -ire Aosta and Trentino–Alto Adige.mp4 456.2 MB
17. Indefinite Pronouns, Ci, and Ne Sardinia.mp4 455.3 MB
10. The Imperative Mood Campania.mp4 452.0 MB
12. Indirect Objects Friuli–Venezia Giulia.mp4 450.6 MB
18. Passato Prossimo with Avere Umbria.mp4 441.8 MB
9. Modal Verbs, Sapere, and Conoscere Liguria.mp4 439.9 MB
16. Present Progressive and Suffixes Piedmont.mp4 434.5 MB
2. Nouns and Articles Sicily.mp4 428.9 MB

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【影视】 [UdemyCourseDownloader] Learning Cloud Computing Core Concepts

收录时间:2021-05-12 文档个数:53 文档大小:189.3 MB 最近下载:2025-02-08 人气:337 磁力链接

13 - Understand the TCO.mp4 14.6 MB
25 - Monitoring and management.mp4 14.2 MB
12 - Identify which data to move.mp4 13.8 MB
18 - Your first cloud project.mp4 11.1 MB
14 - Migration planning.mp4 11.0 MB
23 - Cloud operations overview.mp4 10.5 MB
24 - Technology and toolsets.mp4 10.0 MB
16 - Establish cloud security.mp4 9.3 MB
15 - Select a cloud provider.mp4 9.1 MB
11 - Identify which apps to move.mp4 8.9 MB
17 - New skills.mp4 7.7 MB
01 - Change your career with cloud computing.mp4 7.0 MB
19 - Cloud security planning.mp4 6.5 MB
07 - IaaS clouds.mp4 5.9 MB
10 - IaaS case study.mp4 5.9 MB
05 - Overview of cloud computing.mp4 5.8 MB
21 - Select the right technology.mp4 5.4 MB
20 - Security requirements.mp4 5.0 MB
09 - PaaS clouds.mp4 5.0 MB
08 - SaaS clouds.mp4 4.8 MB

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【影视】 [LinkedIn Learning] Bill Weinman - Python Essential Training

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15. Databases/2. A database interface.mp4 37.6 MB
15. Databases/3. Example- Short URL database.mp4 33.7 MB
2. Installation/1. Installing Python and PyCharm on a Mac.mp4 33.1 MB
8. Functions/2. Function arguments.mp4 21.7 MB
14. Modules/2. Creating a module.mp4 18.6 MB
14. Modules/1. Using standard modules.mp4 17.6 MB
11. String Objects/3. Formatting strings.mp4 16.5 MB
9. Classes/2. Constructing an object.mp4 14.7 MB
10. Exceptions/1. Handling exceptions.mp4 14.6 MB
8. Structured Data/3. Dictionaries.mp4 14.6 MB
2. Installation/2. Installing Python and Komodo on Windows.mp4 14.2 MB
9. Classes/3. Class methods.mp4 14.1 MB
9. Classes/4. Object data.mp4 14.0 MB
13. Built In Functions/2. String functions.mp4 13.2 MB
11. String Objects/2. Common string methods.mp4 13.0 MB
8. Functions/7. Decorators.mp4 13.0 MB
8. Structured Data/2. Lists and tuples.mp4 12.9 MB
15. Databases/1. Python database API.mp4 12.5 MB
9. Classes/5. Inheritance.mp4 12.5 MB
8. Functions/1. Defining a function.mp4 12.4 MB

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【影视】 [FreeCourseLab.me] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost

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6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
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06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
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03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
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【影视】 The Complete Deep Learning Course 2021 With 7+ Real Projects

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