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SlotMachineLogoReveal/(Footage)/Others/Item_LogoMask.mov 7.0 MB
SlotMachineLogoReveal/(Footage)/Others/LogoReveal.mov 3.2 MB
SlotMachineLogoReveal/(Footage)/Others/Studiolight.png 3.2 MB
SlotMachineLogoReveal/(Footage)/Others/Flare.mp4 2.3 MB
SlotMachineLogoReveal/(Footage)/Others/SoundFX.wav 2.0 MB
SlotMachineLogoReveal/SlotMachineLogoReveal.aep 1.9 MB
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【影视】 [DesireCourse.Net] Udemy - Mathematical Foundation For Machine Learning and AI

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3. Multivariate Calculus/5. Optimization.mp4 244.4 MB
2. Linear Algebra/1. Scalars, Vectors, Matrices, and Tensors.mp4 225.9 MB
2. Linear Algebra/6. Norms and Eigendecomposition.mp4 186.5 MB
3. Multivariate Calculus/1. Introduction to Derivatives.mp4 150.3 MB
2. Linear Algebra/4. Special Matrices and Vectors.mp4 126.9 MB
2. Linear Algebra/3. Vectors, Matrices, and Tensors in Python.mp4 119.6 MB
3. Multivariate Calculus/4. Gradient Visualization.mp4 110.6 MB
4. Probability Theory/1. Intro to Probability Theory.mp4 101.5 MB
4. Probability Theory/4. Graphing Probability Distributions in R.mp4 94.9 MB
4. Probability Theory/2. Probability Distributions.mp4 83.0 MB
3. Multivariate Calculus/3. Gradients.mp4 80.6 MB
5. Probaility Theory/1. Special Random Variables.mp4 74.9 MB
2. Linear Algebra/5. Eigenvalues and Eigenvectors.mp4 67.4 MB
4. Probability Theory/5. Covariance Matrices in R.mp4 64.7 MB
4. Probability Theory/3. Expectation, Variance, and Covariance.mp4 58.1 MB
2. Linear Algebra/2. Vector and Matrix Norms.mp4 55.7 MB
3. Multivariate Calculus/2. Basics of Integration.mp4 55.6 MB
1. Introduction/1. Introduction.mp4 29.2 MB
3. Multivariate Calculus/4.1 Project 1 - Gradient Visualization.zip.zip 525.3 kB
2. Linear Algebra/6.1 Project 2 - Norms and Eigendecomposition.zip.zip 237.6 kB

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【影视】 [DesireCourse.Net] Udemy - The Complete Machine Learning Course with Python

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6. Tree/6. Project HR.mp4 186.5 MB
7. Ensemble Machine Learning/2. Bagging.mp4 173.5 MB
12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.mp4 163.2 MB
3. Regression/2. EDA.mp4 159.0 MB
11. Deep Learning/3. Motivational Example - Project MNIST.mp4 152.0 MB
11. Deep Learning/1. Estimating Simple Function with Neural Networks.mp4 150.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.mp4 148.8 MB
3. Regression/15. Data Preprocessing.mp4 142.1 MB
13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.mp4 134.8 MB
3. Regression/19. CV Illustration.mp4 133.4 MB
10. Unsupervised Learning Clustering/1. Clustering.mp4 131.8 MB
3. Regression/9. Multiple Regression 1.mp4 131.6 MB
13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.mp4 130.9 MB
4. Classification/1. Logistic Regression.mp4 125.4 MB
3. Regression/7. Robust Regression.mp4 124.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.mp4 116.5 MB
3. Regression/12. Polynomial Regression.mp4 116.2 MB
4. Classification/3. Understanding MNIST.mp4 114.3 MB
3. Regression/4. Correlation Analysis and Feature Selection.mp4 110.3 MB
4. Classification/10. Precision Recall Tradeoff.mp4 107.0 MB

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03 What The Water Gave Me.mp3 13.4 MB
11 The End Of Love.mp3 11.3 MB
01 Never Let Me Go.mp3 10.9 MB
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08 Various Storms & Saints.mp3 10.0 MB
06 Landscape.mp3 9.7 MB
07 Make Up Your Mind.mp3 9.7 MB
02 Ship To Wreck.mp3 9.4 MB
10 Sky Full Of Song.mp3 9.1 MB
09 St Jude.mp3 9.0 MB
04 Swimming.mp3 8.1 MB
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【影视】 [ TutGee.com ] Udemy - Machine Learning Fundamentals

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~Get Your Files Here !/2. Real world project demo/1. Vehicle Detection and Counting with Computer Vision - Project Review.mp4 193.8 MB
~Get Your Files Here !/1. Introduction/2. What is Machine Learning.mp4 94.4 MB
~Get Your Files Here !/1. Introduction/4. Job Opportunities & Salaries of Data Science Professionals.mp4 66.7 MB
~Get Your Files Here !/1. Introduction/5. Top Trends in Data Science.mp4 32.1 MB
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~Get Your Files Here !/1. Introduction/3. How to learn Data Science.srt 11.4 kB
~Get Your Files Here !/1. Introduction/2. What is Machine Learning.srt 11.0 kB
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~Get Your Files Here !/4. Data Science & Machine Learning Resources/5. Apply filters for tissue segmentation.html 114 Bytes
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~Get Your Files Here !/3. Extra resource/2. Stanford CS229 Machine Learning lecture by Andrew NG.html 108 Bytes
~Get Your Files Here !/4. Data Science & Machine Learning Resources/3. Push custom analytics to Netezza database.html 99 Bytes
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【影视】 [FreeCourseLab.com] Udemy - Machine Learning for Apps

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5. Building a Handwriting Recognition App/3. Drawing On Screen.mp4 74.8 MB
4. Building a Convolutional Neural Network/7. Training CNN Evaluating Accuracy Saving to Disk.mp4 69.6 MB
5. Building a Handwriting Recognition App/5. Utilizing Core ML Vision to Make Prediction.mp4 67.6 MB
4. Building a Convolutional Neural Network/4. Preparing Dataset for a CNN.mp4 58.5 MB
5. Building a Handwriting Recognition App/6. Handling Displaying Prediction Results.mp4 57.5 MB
4. Building a Convolutional Neural Network/5. Building Visualizing a CNN using Sequential Part 1.mp4 55.8 MB
4. Building a Convolutional Neural Network/2. What is a Convolutional Neural Network (CNN).mp4 55.6 MB
6. Core ML Basics/10. Passing Images Through Core ML Model.mp4 51.8 MB
4. Building a Convolutional Neural Network/6. Building Visualizing a CNN using Sequential Part 2.mp4 46.0 MB
2. Python Basics/3. Arrays & Tuples in Python.mp4 40.1 MB
5. Building a Handwriting Recognition App/2. Building Interface Wiring Up.mp4 38.0 MB
6. Core ML Basics/11. Handling Core ML Prediction Results.mp4 37.9 MB
3. Building a Classification Model/8. Building Our Own KNeighborsClassifier.mp4 37.6 MB
1. Intro to Course/4. Downloading Setting Up Atom & Plugins.mp4 35.6 MB
4. Building a Convolutional Neural Network/8. Switching Python Environments Converting to Core ML Model.mp4 35.0 MB
1. Intro to Course/3. Installing Anaconda Python Environment.mp4 34.4 MB
1. Intro to Course/1. What is Machine Learning.mp4 34.3 MB
6. Core ML Basics/2. What is Machine Learning.mp4 34.3 MB
3. Building a Classification Model/6. Creating Training a KNeighborsClassifier.mp4 33.1 MB
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【影视】 [Udemy] Complete Machine Learning & Data Science Bootcamp 2022 (11.2021)

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09 - Scikit-learn_ Creating Machine Learning Models/017 NEW_ Choosing The Right Model For Your Data.mp4 245.7 MB
09 - Scikit-learn_ Creating Machine Learning Models/040 NEW_ Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.8 MB
05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 200.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.6 MB
16 - Career Advice + Extra Bits/009 CWD_ Git + Github.mp4 184.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/008 Optional_ Debugging Warnings In Jupyter.mp4 179.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.0 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.0 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.2 MB
16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience_.mp4 154.5 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4 151.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/050 Putting It All Together.mp4 150.2 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/037 Visualizing And Evaluate Model Predictions 2.mp4 147.1 MB
05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.3 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/010 Finding Patterns 3.mp4 142.5 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4 142.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 138.5 MB
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