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【其他】 Learning Tableau 2020

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6. Practical Part 4 - Building the Model/2. Defining the Encoder.mp4 254.0 MB
6. Practical Part 4 - Building the Model/6. Designing the Decoder Part 2.mp4 167.9 MB
6. Practical Part 4 - Building the Model/4. Designing the Attention Model.mp4 158.8 MB
7. Practical Part 5 - Training the Model/3. Visualize Training Part 1.mp4 138.3 MB
6. Practical Part 4 - Building the Model/5. Designing the Decoder Part 1.mp4 133.5 MB
7. Practical Part 5 - Training the Model/5. Training.mp4 128.8 MB
7. Practical Part 5 - Training the Model/4. Visualize Training Part 2.mp4 118.6 MB
5. Practical Part 3 - Data Preperation/5. Preparing the Data for Model Part 4.mp4 109.4 MB
4. Practical Part 2 - Processing the Dataset/8. Processing the Text Part 2.mp4 100.3 MB
4. Practical Part 2 - Processing the Dataset/7. Processing the Text.mp4 100.3 MB
4. Practical Part 2 - Processing the Dataset/6. Processing the Words.mp4 93.5 MB
5. Practical Part 3 - Data Preperation/4. Preparing the Data for Model Part 3.mp4 92.9 MB
5. Practical Part 3 - Data Preperation/1. Preparing the Data for Model Part 1.mp4 91.3 MB
4. Practical Part 2 - Processing the Dataset/10. Getting Rid of Rare Words.mp4 86.5 MB
4. Practical Part 2 - Processing the Dataset/1. The Dataset.mp4 85.8 MB
1. Theory Part 1 - RNNs and LSTMs/2. Introduction to RNNs Part 1.mp4 83.3 MB
3. Practical Part 1 - Introduction to PyTorch/2. Torch Tensors Part 1.mp4 81.5 MB
4. Practical Part 2 - Processing the Dataset/4. Processing the Dataset Part 3.mp4 79.4 MB
4. Practical Part 2 - Processing the Dataset/3. Processing the Data Part 2.mp4 77.4 MB
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【影视】 [ FreeCourseWeb ] Udemy - Machine Learning Basics- Building a Regression model in R

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6. Linear Regression Model/20. Ridge regression and Lasso in R.mp4 130.3 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
3. Getting started with R and R studio/7. Creating Barplots in R.mp4 123.3 MB
5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 119.3 MB
5. Data Preprocessing/7. EDD in R.mp4 117.7 MB
6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4 109.5 MB
3. Getting started with R and R studio/3. Packages in R.mp4 103.5 MB
5. Data Preprocessing/24. Correlation Matrix in R.mp4 99.7 MB
6. Linear Regression Model/14. Test-Train Split in R.mp4 95.5 MB
6. Linear Regression Model/16. Subset Selection techniques.mp4 91.3 MB
2. Basics of Statistics/3. Describing the data graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.mp4 85.2 MB
5. Data Preprocessing/3. The Data and the Data Dictionary.mp4 82.4 MB
6. Linear Regression Model/17. Subset selection in R.mp4 80.3 MB
6. Linear Regression Model/10. Multiple Linear Regression in R.mp4 76.6 MB
3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.mp4 72.5 MB
5. Data Preprocessing/17. Variable transformation in R.mp4 71.1 MB
6. Linear Regression Model/8. The F - statistic.mp4 67.3 MB
5. Data Preprocessing/21. Dummy variable creation in R.mp4 54.8 MB
3. Getting started with R and R studio/8. Creating Histograms in R.mp4 54.0 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Introduction to AI & Machine Learning.zip

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【文档书籍】 [NulledPremium.com] Machine Learning Algorithms, 2nd edition

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8 - 7. Working with MongoDB/40 - Alternatives - MERN and Electrode.mp4 27.4 MB
8 - 7. Working with MongoDB/34 - Displaying the list of names.mp4 25.2 MB
8 - 7. Working with MongoDB/32 - Reading data from MongoDB.mp4 23.4 MB
8 - 7. Working with MongoDB/37 - Creating an API to propose a name.mp4 23.3 MB
8 - 7. Working with MongoDB/38 - Wiring the proposed new name form.mp4 23.0 MB
8 - 7. Working with MongoDB/36 - Converting the application to use _id.mp4 20.3 MB
7 - 6. Routing on Client and Server/26 - Looking up the contest on route change.mp4 17.7 MB
7 - 6. Routing on Client and Server/31 - Handling the browser's back button.mp4 17.7 MB
2 - 1. Getting Started/04 - Setting up project dependencies.mp4 17.4 MB
4 - 3. React Basics/10 - React elements and JSX.mp4 17.0 MB
7 - 6. Routing on Client and Server/29 - Server-side routing for a contest.mp4 16.0 MB
6 - 5. Rendering on the Server/22 - Server rendering with ReactDOMServer.mp4 15.9 MB
6 - 5. Rendering on the Server/23 - Fix the checksum problem.mp4 15.7 MB
2 - 1. Getting Started/03 - Modern JavaScript.mp4 14.2 MB
7 - 6. Routing on Client and Server/27 - Fetching contest information from the API.mp4 12.8 MB
8 - 7. Working with MongoDB/35 - Example script to update all data.mp4 11.7 MB
3 - 2. Node as a Web Server/09 - Using the EJS template language.mp4 11.1 MB
5 - 4. Working with Data/18 - Using Sass with Node.mp4 11.1 MB
7 - 6. Routing on Client and Server/25 - Navigating to a contest.mp4 11.0 MB
3 - 2. Node as a Web Server/08 - Creating an Express server.mp4 10.9 MB

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