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02. Getting Started/0201.Getting The SDK.mp4 12.4 MB
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02. Getting Started/0203.Understanding The Skeleton App.mp4 7.1 MB
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03. Tools Overview/0302.Customizing Xcode.mp4 19.0 MB
03. Tools Overview/0303.Using Interface Builder.mp4 18.9 MB
03. Tools Overview/0304.Using The Simulator.mp4 14.3 MB
03. Tools Overview/0305.Using The Organizer.mp4 5.1 MB
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04. Objective-C Essentials/0401.Objective-C Overview.mp4 4.2 MB
04. Objective-C Essentials/0402.Creating Classes.mp4 9.2 MB
04. Objective-C Essentials/0403.Declaring And Implementing Methods.mp4 13.5 MB
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【影视】 Neural Networks for Machine Learning

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【影视】 [FreeCourseLab.me] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

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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
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6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
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6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
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6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
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【影视】 [Tutorialsplanet.NET] Udemy - Python for Data Science & Machine Learning from A-Z

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19. PCA/7. PCA - Image Compression.mp4 262.1 MB
16. Ensemble Learning and Random Forests/6. Implementing Random Forests from scratch Part 1.mp4 212.4 MB
15. Decision Trees/7. ID3 - Putting Everything Together.mp4 191.3 MB
14. K Nearest Neighbors/3. EDA on Iris Dataset.mp4 169.7 MB
15. Decision Trees/3. What is Entropy and Information Gain.mp4 142.7 MB
19. PCA/9. PCA - Biplot and the Screen Plot.mp4 142.2 MB
1. Introduction/6. How To Get a Data Science Job.mp4 137.6 MB
1. Introduction/5. What is a Data Scientist.mp4 133.7 MB
17. Support Vector Machines/6. SVM - Kernel Types.mp4 132.5 MB
15. Decision Trees/2. EDA on Adult Dataset.mp4 129.2 MB
15. Decision Trees/8. Evaluating our ID3 implementation.mp4 127.9 MB
19. PCA/8. PCA Data Preprocessing.mp4 126.3 MB
15. Decision Trees/13. Pruning.mp4 118.5 MB
17. Support Vector Machines/8. SVM with Non-linear Dataset.mp4 117.0 MB
13. Linear and Logistic Regression/3. Linear Regression + Correlation Methods.mp4 115.7 MB
18. K-means/3. Representing Clusters.mp4 114.9 MB
3. Python For Data Science/15. Python Dictionaries.mp4 109.2 MB
17. Support Vector Machines/7. SVM with Linear Dataset (Iris).mp4 106.5 MB
18. K-means/1. Unsupervised Machine Learning Intro.mp4 105.8 MB
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【影视】 [GigaCourse.Com] Udemy - Machine Learning Classification Bootcamp in Python

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4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.mp4 168.6 MB
7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.mp4 164.0 MB
5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.mp4 155.1 MB
2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.mp4 144.2 MB
8. Naive Bayes Classifiers/2. Naive Bayes Intuition.mp4 143.1 MB
1. Introduction/2.1 ML Classification Package.zip 138.2 MB
8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4 134.0 MB
5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4 129.1 MB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.mp4 128.8 MB
6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4 126.7 MB
5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4 125.6 MB
8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4 124.8 MB
7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4 123.6 MB
8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4 116.5 MB
7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4 114.7 MB
6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4 112.4 MB
4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4 102.8 MB
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1. Introduction/5. Course Overview.mp4 99.5 MB
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