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【压缩文件】 [ FreeCourseWeb.com ] Multi Dimensional Data Visualization and Exploratory Data Analysis using Python.zip

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【影视】 [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
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12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
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32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
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38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
6. Polynomial Regression/10. Polynomial Regression in R - Step 3.mp4 45.4 MB
28. Thompson Sampling/4. Thompson Sampling in Python - Step 1.mp4 45.2 MB

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【压缩文件】 [ FreeCourseWeb ] Udemy - QlikSense Data Architect Masterclass.rar

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【影视】 [ WebToolTip.com ] Udemy - Healthcare IT Decoded - Data Visualization using R

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~Get Your Files Here !/6 - Bar Charts/8 -Multiple Bar Chart.mp4 38.3 MB
~Get Your Files Here !/8 - Density Charts/23 -Tornado Chart - Part 3.mp4 38.1 MB
~Get Your Files Here !/5 - Basics of R/12 -R Basics - Some Functions Part 1.mp4 38.0 MB

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【其他】 Prince of Persia Classic v2.1 [PREMIUM] (apk+data) {Android} [JOKER]

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【其他】 Analyze Huge Data with Ease Using Microsoft Excel Filters!

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【影视】 [DesireCourse.Net] Udemy - Statistics for Business Analytics and Data Science A-Z™

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3. Central Limit Theorem/8. Hands-On CLT - Analytics Challenge.mp4 189.6 MB
5. Advanced Hypothesis Testing/6. Warning about misuse and overuse of p-values.mp4 55.2 MB
5. Advanced Hypothesis Testing/9. THANK YOU bonus video.mp4 54.8 MB
2. Distributions/10. Homework Solution - Part 1.mp4 54.0 MB
2. Distributions/11. Homework Solution - Part 2.mp4 52.4 MB
5. Advanced Hypothesis Testing/3. T-Tests.mp4 51.9 MB
2. Distributions/2. Updates on Udemy Reviews.mp4 51.3 MB
3. Central Limit Theorem/10. Homework Solution.mp4 45.9 MB
4. Hypothesis Testing Statistical Significance/6. Proportion Testing.mp4 41.6 MB
5. Advanced Hypothesis Testing/5. 2-Tailed Test Exercise.mp4 40.2 MB
4. Hypothesis Testing Statistical Significance/2. Hypothesis Testing - Steps.mp4 38.0 MB
6. Vitaly Dolgov's Guest Section/6. Trends in Analytics - Part 2.mp4 36.0 MB
5. Advanced Hypothesis Testing/1. What it means when you cannot reject the Null Hypothesis.mp4 34.9 MB
4. Hypothesis Testing Statistical Significance/8. Homework Solution.mp4 33.4 MB
5. Advanced Hypothesis Testing/7. Real Life Example.mp4 31.9 MB
2. Distributions/4. What is a Distribution.mp4 27.6 MB
4. Hypothesis Testing Statistical Significance/4. Hypothesis Testing - Rejection Region.mp4 25.9 MB
3. Central Limit Theorem/7. Z-Score.mp4 25.8 MB
2. Distributions/5. What is Standard Deviation.mp4 25.6 MB
4. Hypothesis Testing Statistical Significance/5. Hypothesis Testing Assumptions.mp4 25.4 MB

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【其他】 FIFA 15 Android Ultimate Team v 1.1.0 [APK+SD DATA][Patched] - TeXTX

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【其他】 Grand Theft Auto Vice City (GTA) v1.03 + SD DATA Android (ExtremlymTorrents.Me)

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【影视】 [DMC.RIP] [Skillbox] Основы математики для Data Science (2020)

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[DMC.RIP] 3.Аналитика и ML. Функции одной переменной, их свойства и графики/[DMC.RIP] 3.4 Элементарные функции и их свойства.mp4 129.4 MB
[DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.2 Задача аппроксимации как система линейных уравнений.mp4 121.4 MB
[DMC.RIP] 9.ML. Вектора и Матрицы. Градиент/9.3 Скалярное произведение векторов и линейная модель.mp4 101.2 MB
[DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.3 Представление СЛАУ в виде матричного уравнения.mp4 94.8 MB
[DMC.RIP] 5.ML. Аппроксимация и преобразования функций/5.2 Функция потерь.mp4 90.1 MB
[DMC.RIP] 6.ML. Аппроксимация и производные/[DMC.RIP] 6.6 Минимум MSE и техники вычисления производных (часть 2).mp4 90.1 MB
[DMC.RIP] 5.ML. Аппроксимация и преобразования функций/5.3 Преобразования функций. Сдвиги вправо и влево.mp4 88.8 MB
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[DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.5 Переопределенные СЛАУ.mp4 74.3 MB
[DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.4 Решение СЛАУ с помощью sympy.mp4 69.0 MB
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[DMC.RIP] 11.Задача аппроксимации как матричное уравнение/11.4 Детерминант и нахождение обратных матриц (часть 2).mp4 68.8 MB
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【影视】 Pluralsight - Storing Data in HTML [AhLaN]

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03. Using Local and Session Storage/04. Demo - Loop through All Data in Web Storage.mp4 13.9 MB
03. Using Local and Session Storage/05. Demo - Deleting Data in Web Storage.mp4 10.6 MB
03. Using Local and Session Storage/02. Demo - Save Data to Web Storage.mp4 10.1 MB
03. Using Local and Session Storage/03. Demo - Retrieve Data from Web Storage.mp4 7.8 MB
03. Using Local and Session Storage/06. Demo - Saving JSON Data to Web Storage.mp4 6.3 MB
04. Real World Use/02. Real World Use.mp4 5.6 MB
04. Real World Use/01. Security Issues.mp4 2.9 MB
01. Course Overview/01. Course Overview.mp4 2.8 MB
04. Real World Use/03. Protocols and Subdomains.mp4 2.1 MB
03. Using Local and Session Storage/01. Environment Setup.mp4 1.8 MB
02. Introduction/04. Storage Size Limitations.mp4 1.5 MB
03. Using Local and Session Storage/07. Deprecated Use of Web Storage.mp4 1.5 MB
02. Introduction/02. Difference between Cookies and Web Storage.mp4 1.4 MB
02. Introduction/03. Difference between Local and Session Storage.mp4 1.4 MB
html-storing-data.zip 1.3 MB
05. Summary/01. Key Takeaways.mp4 1.2 MB
02. Introduction/05. Types of Data That Can Be Stored.mp4 1.2 MB
03. Using Local and Session Storage/08. Summary.mp4 982.2 kB
02. Introduction/01. Welcome to Storing Data in HTML.mp4 687.6 kB
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【影视】 VideoHive - Digital Data 24641105

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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/39. 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/45. Putting It All Together.mp4 166.0 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.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/15. 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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【压缩文件】 [ FreeCourseWeb.com ] Egghead - Immutable JavaScript Data Structures with Immer.zip

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[ FreeCourseWeb.com ] Egghead - Immutable JavaScript Data Structures with Immer.zip 241.6 MB

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【其他】 Final Fantasy III v1.0.2(No Need Root) + SD Data By bobiras2009

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【影视】 [FreeTutorials.Us] data-science-deep-learning-in-theano-tensorflow

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01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/001 Outline - what did you learn previously and what will you learn in this course.mp4 4.9 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/002 Where does this course fit into your deep learning studies.mp4 6.3 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/003 How to Succeed in this Course.mp4 9.2 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.7 MB
02 Gradient Descent Full vs Batch vs Stochastic/005 What are full batch and stochastic gradient descent.mp4 6.1 MB
02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.7 MB
03 Momentum and adaptive learning rates/007 Momentum.mp4 3.3 MB
03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
03 Momentum and adaptive learning rates/009 Variable and adaptive learning rates.mp4 5.3 MB
03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 11.5 MB
04 Choosing Hyperparameters/011 Hyperparameter Optimization Cross-validation Grid Search and Random Search.mp4 5.8 MB
04 Choosing Hyperparameters/012 Grid Search in Code.mp4 14.4 MB
04 Choosing Hyperparameters/013 Random Search in Code.mp4 8.3 MB
05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 20.3 MB
05 Theano/015 Building a neural network in Theano.mp4 22.8 MB
06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
06 TensorFlow/017 Building a neural network in TensorFlow.mp4 25.0 MB
07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
07 GPU Speedup Homework and Other Misc Topics/019 Can Big Data be used to Speed Up Backpropagation.mp4 5.5 MB
07 GPU Speedup Homework and Other Misc Topics/020 Exercises and Concepts Still to be Covered.mp4 4.7 MB

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