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【影视】 MyFamilyPies - Chloe Temple - Learning Lines With Sis

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MyFamilyPies - Chloe Temple - Learning Lines With Sis.mp4 611.0 MB
RARBG.nfo 32 Bytes

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【影视】 [Udemy] Python for Data Science and Machine Learning Bootcamp (2020) [En]

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25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.8 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 MB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB

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【影视】 [FreeCourseSite.com] Udemy - Data Science and Machine Learning Bootcamp with R

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4. Mac OS Installation Set-Up/1. Mac OS Installation Procedure.mp4 74.9 MB
18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 66.4 MB
19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 62.6 MB
21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 62.4 MB
14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 60.5 MB
15. Data Visualization with R/2. Histograms.mp4 59.7 MB
23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 59.0 MB
20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 58.3 MB
33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 57.4 MB
20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 56.6 MB
22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 49.9 MB
24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 49.0 MB
21. Machine Learning Project - Linear Regression/1. Introduction to Linear Regression Project.mp4 48.8 MB
22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 48.6 MB
1. Course Introduction/4.1 R-Course-HTML-Notes.zip 47.8 MB
6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip 47.8 MB
18. Capstone Data Project/1. Introduction to Capstone Project.mp4 47.7 MB
15. Data Visualization with R/3. Scatterplots.mp4 47.4 MB
12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 45.5 MB
32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 44.9 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Python for Data Science and Machine Learning Bootcamp

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25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.srt 116.8 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/8. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB

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【影视】 [FreeCourseSite.com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python

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10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Hidden Markov Models for Discrete Observations/11. Discrete HMM in Code.mp4 49.7 MB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 47.6 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.mp4 30.6 MB
3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp4 28.2 MB
5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.mp4 27.2 MB
10. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 25.6 MB
5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp4 24.9 MB
5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp4 24.2 MB
5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp4 23.9 MB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp4 23.6 MB
4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.mp4 23.5 MB

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【影视】 [DesireCourse.Com] Udemy - AWS Lambda and the Serverless Framework – Hands On Learning!

收录时间:2021-04-02 文档个数:39 文档大小:361.0 MB 最近下载:2025-05-15 人气:671 磁力链接

05 Real World Example 2 - REST API/028 Building the REST API.mp4 31.3 MB
04 Real World Example 1 - S3 Thumbnails/024 Implementation of Thumbnail Service - Part 1.mp4 29.0 MB
02 AWS Lambda Serverless - Getting Started/006 AWS Lambda Console.mp4 25.3 MB
03 AWS Lambda Serverless - In Depth/017 Functions timeout and memory.mp4 24.4 MB
02 AWS Lambda Serverless - Getting Started/007 Installing Serverless.mp4 19.0 MB
03 AWS Lambda Serverless - In Depth/020 VPC for Lambda Functions.mp4 18.7 MB
03 AWS Lambda Serverless - In Depth/018 IAM Permissions for Lambda Functions.mp4 17.4 MB
04 Real World Example 1 - S3 Thumbnails/025 Implementation of Thumbnail Service - Part 2.mp4 16.8 MB
01 Course Introduction/004 AWS Lambda Overview.mp4 16.7 MB
02 AWS Lambda Serverless - Getting Started/008 Deploying our First Function.mp4 16.4 MB
05 Real World Example 2 - REST API/030 Testing the REST API.mp4 14.8 MB
03 AWS Lambda Serverless - In Depth/019 Environment Variables in AWS Lambda.mp4 14.6 MB
03 AWS Lambda Serverless - In Depth/014 Create AWS Lambda function using any runtime.mp4 13.8 MB
06 Real World Example 3 - AWS Automation - EC2 Start Stop/033 Deploying the ec2 start and stop lambda functions.mp4 13.8 MB
05 Real World Example 2 - REST API/029 Deploying the REST API.mp4 12.6 MB
02 AWS Lambda Serverless - Getting Started/011 Fetching the function logs from the CLI.mp4 8.5 MB
03 AWS Lambda Serverless - In Depth/015 YAML Crash Course.mp4 8.3 MB
01 Course Introduction/attached_files/005 Code Download/aws-lambda.zip 7.7 MB
02 AWS Lambda Serverless - Getting Started/010 Updating the function from the CLI.mp4 6.7 MB
03 AWS Lambda Serverless - In Depth/021 AWS Lambda Pricing.mp4 5.4 MB

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【影视】 [05-2019] learning-algorithms-in-javascript-from-scratch

收录时间:2021-04-03 文档个数:122 文档大小:399.4 MB 最近下载:2025-05-14 人气:2457 磁力链接

05 Caesar Cipher/018 Caesar Cipher - Code.mp4 23.4 MB
15 Merge Sort/060 Merge Sort - Code.mp4 23.3 MB
10 Binary Search/039 Introduction to Recursion & the Call Stack.mp4 17.4 MB
03 Harmless Ransom Note/008 Time Complexity & Big O Notation.mp4 16.9 MB
10 Binary Search/040 Binary Search - Code.mp4 16.0 MB
08 Mean Median Mode/031 Mean Median Mode - Code Part 2.mp4 15.7 MB
08 Mean Median Mode/030 Mean Median Mode - Code Part 1.mp4 15.3 MB
16 Max Stock Profit/065 Max Stock Profit - Code.mp4 13.9 MB
01 Introduction/001 Introduction to Algorithms & Course Layout.mp4 13.7 MB
04 Is Palindrome/014 Is Palindrome - Code.mp4 12.8 MB
13 Sieve of Eratosthenes/052 Sieve of Eratosthenes - Code.mp4 11.1 MB
03 Harmless Ransom Note/009 Harmless Ransom Note - Code Part 1.mp4 11.1 MB
03 Harmless Ransom Note/011 Harmless Ransom Note - Testing.mp4 11.0 MB
13 Sieve of Eratosthenes/051 Sieve of Eratosthenes - Intro.mp4 10.1 MB
14 Bubble Sort/055 Bubble Sort - Intro.mp4 9.7 MB
12 Memoized Fibonacci/048 Memoized Fibonacci - Code.mp4 9.0 MB
14 Bubble Sort/056 Bubble Sort - Code.mp4 8.8 MB
07 Reverse Array In Place/026 Reverse Array In Place - Code.mp4 8.6 MB
09 Two Sum/035 Two Sum - Code.mp4 8.5 MB
02 Fizz Buzz/004 Fizz Buzz - Code.mp4 8.4 MB

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【影视】 Complete 2020 Data Science & Machine Learning Bootcamp

收录时间:2021-04-03 文档个数:391 文档大小:15.9 GB 最近下载:2025-05-15 人气:822 磁力链接

Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
Complete 2020 Data Science & Machine Learning Bootcamp/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.4 MB
Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.7 MB
Complete 2020 Data Science & Machine Learning Bootcamp/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
Complete 2020 Data Science & Machine Learning Bootcamp/11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
Complete 2020 Data Science & Machine Learning Bootcamp/8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
Complete 2020 Data Science & Machine Learning Bootcamp/8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4 179.8 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/19. Working with Python Objects to Analyse Data.mp4 178.2 MB
Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.mp4 176.8 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4 164.4 MB
Complete 2020 Data Science & Machine Learning Bootcamp/11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.mp4 162.9 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.mp4 160.7 MB
Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4 160.4 MB

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【影视】 Learning Linux Command Line

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4. Files,Folders and Permissions/7. File permissions.mp4 24.0 MB
4. Files,Folders and Permissions/4. Copy, move, and delete files and folders.mp4 22.6 MB
1. Introduction/1. Learning Linux command line.mp4 21.1 MB
5. Common Command-Line Task And Tools/8. Working with TAR and ZIP archives.mp4 18.3 MB
4. Files,Folders and Permissions/1. Files, folders, and navigation.mp4 17.4 MB
3. Command-Line Basics/5. Finding help for commands.mp4 16.2 MB
5. Common Command-Line Task And Tools/5. Manipulate text with awk, sed, and sort.mp4 16.1 MB
2. Setting Up Your Environment/1. Creating a Linux virtual machine.mp4 14.5 MB
6. A Peak At Some More Advance Topics/3. Install and update software with a package manager.mp4 14.4 MB
5. Common Command-Line Task And Tools/12. Solution- Extract information from a text file.mp4 13.5 MB
6. A Peak At Some More Advance Topics/2. Find system hardware and disk information.mp4 13.5 MB
5. Common Command-Line Task And Tools/4. Search for text in files and streams with grep.mp4 12.3 MB
5. Common Command-Line Task And Tools/3. View text files with cat, head, tail, and less.mp4 12.1 MB
5. Common Command-Line Task And Tools/6. Edit text with Vim.mp4 11.4 MB
5. Common Command-Line Task And Tools/9. Output redirection.mp4 11.2 MB
4. Files,Folders and Permissions/3. Create and remove folders.mp4 11.0 MB
5. Common Command-Line Task And Tools/10. Exploring environment variables and PATH.mp4 9.2 MB
4. Files,Folders and Permissions/6. User roles and sudo.mp4 8.4 MB
3. Command-Line Basics/3. Write commands in a shell at the prompt.mp4 8.1 MB
4. Files,Folders and Permissions/8. Create hard and symbolic links.mp4 8.0 MB

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【影视】 [FreeCourseWorld.Com] Udemy - Machine Learning with Javascript

收录时间:2021-04-03 文档个数:553 文档大小:10.8 GB 最近下载:2025-05-12 人气:2735 磁力链接

05 Getting Started with Gradient Descent/068 Why a Learning Rate.mp4 196.4 MB
06 Gradient Descent with Tensorflow/084 How it All Works Together.mp4 150.8 MB
02 Algorithm Overview/022 Investigating Optimal K Values.mp4 135.4 MB
05 Getting Started with Gradient Descent/062 Understanding Gradient Descent.mp4 132.9 MB
05 Getting Started with Gradient Descent/071 Multiple Terms in Action.mp4 129.1 MB
07 Increasing Performance with Vectorized Solutions/097 Moving Towards Multivariate Regression.mp4 127.3 MB
05 Getting Started with Gradient Descent/066 Gradient Descent in Action.mp4 121.0 MB
03 Onwards to Tensorflow JS/036 Tensor Shape and Dimension.mp4 119.8 MB
01 What is Machine Learning/003 A Complete Walkthrough.mp4 114.4 MB
11 Multi-Value Classification/134 A Single Instance Approach.mp4 108.6 MB
06 Gradient Descent with Tensorflow/079 Interpreting Results.mp4 106.7 MB
13 Performance Optimization/159 Measuring Memory Usage.mp4 101.3 MB
11 Multi-Value Classification/139 Marginal vs Conditional Probability.mp4 99.8 MB
05 Getting Started with Gradient Descent/063 Guessing Coefficients with MSE.mp4 98.0 MB
02 Algorithm Overview/010 How K-Nearest Neighbor Works.mp4 97.9 MB
04 Applications of Tensorflow/055 Normalization or Standardization.mp4 97.5 MB
06 Gradient Descent with Tensorflow/083 Simplification with Matrix Multiplication.mp4 95.2 MB
04 Applications of Tensorflow/052 Loading CSV Data.mp4 93.7 MB
12 Image Recognition In Action/151 Debugging the Calculation Process.mp4 93.4 MB
06 Gradient Descent with Tensorflow/076 Initial Gradient Descent Implementation.mp4 92.2 MB

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【影视】 [FreeCourseSite.com] Udemy - Applied Deep Learning Build a Chatbot - Theory, Application

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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
3. Practical Part 1 - Introduction to PyTorch/1. Installing PyTorch and an Introduction.mp4 76.5 MB

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【影视】 [FreeCoursesOnline.Me] [LINKEDIN LEARNING] Critical Roles Consultants Play (and the Skills You Need to Fill Them) - [FCO]

收录时间:2021-04-03 文档个数:57 文档大小:556.1 MB 最近下载:2025-05-16 人气:2775 磁力链接

03.Technical and Managerial Roles/0302.Pushing your client.mp4 27.8 MB
06.Conclusion/0603.Exercise solution The final interview.mp4 27.1 MB
01.Jump-Start Your Consulting Career/0101.Your career as a consultant.mp4 25.8 MB
05.ReviewerCritic and Implementer Roles/0502.Assessing review results and conditions for implementation.mp4 25.8 MB
03.Technical and Managerial Roles/0301.Leveraging the technical and managerial roles.mp4 24.7 MB
05.ReviewerCritic and Implementer Roles/0501.How harsh a review do you provide.mp4 23.9 MB
02.The Consultant's Job and Roles They Play/0201.The consultant's job.mp4 23.9 MB
06.Conclusion/0601.Positioning for a future engagement.mp4 23.8 MB
05.ReviewerCritic and Implementer Roles/0504.Returning responsibility to the client.mp4 23.1 MB
04.Leader and Follower Roles/0401.Applying the roles to stakeholders.mp4 23.0 MB
06.Conclusion/0602.Exercise The final interview.mp4 23.0 MB
02.The Consultant's Job and Roles They Play/0204.Assessing the required roles.mp4 22.7 MB
04.Leader and Follower Roles/0402.Influencing as a leader and follower.mp4 22.5 MB
02.The Consultant's Job and Roles They Play/0202.The consulting attitude.mp4 22.5 MB
04.Leader and Follower Roles/0405.Exercise solution Applying the roles.mp4 22.4 MB
02.The Consultant's Job and Roles They Play/0205.Exercise video The initial interview.mp4 22.2 MB
02.The Consultant's Job and Roles They Play/0206.Exercise solution The initial interview.mp4 22.1 MB
03.Technical and Managerial Roles/0303.Assessing your effectiveness with these roles.mp4 22.1 MB
04.Leader and Follower Roles/0404.Exercise Applying the roles.mp4 20.0 MB
01.Jump-Start Your Consulting Career/0103.What does it take to be a consultant.mp4 19.9 MB

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【影视】 [UdemyCourseDownloader] Learning Data Visualization

收录时间:2021-04-03 文档个数:40 文档大小:636.4 MB 最近下载:2025-05-11 人气:594 磁力链接

06 Visual Display/009 The right paradigm_ Maps.mp4 38.1 MB
06 Visual Display/008 The right paradigm_ Hierarchical data.mp4 36.3 MB
06 Visual Display/010 The right paradigm_ Creativity and innovation.mp4 32.2 MB
03 Information Hierarchy/004 Explore your data_ Visual exploration.mp4 31.9 MB
03 Information Hierarchy/006 Convert your data_ Indexes and ratios.mp4 31.4 MB
07 Interactivity/003 How to think interactively.mp4 25.5 MB
02 Big Idea/003 So what is data visualization_.mp4 25.0 MB
03 Information Hierarchy/001 _Explatory_.mp4 22.6 MB
07 Interactivity/001 Introducing motion.mp4 22.3 MB
06 Visual Display/003 Position size color contrast and shape.mp4 22.1 MB
06 Visual Display/007 The right paradigm_ Alternative charts.mp4 20.8 MB
02 Big Idea/006 Understanding (your) data.mp4 20.4 MB
05 Storytelling/001 Defining your narrative.mp4 18.7 MB
02 Big Idea/002 Channel your audience.mp4 18.0 MB
04 The Analog Process/001 Sketches and wireframes.mp4 17.9 MB
03 Information Hierarchy/005 Explore your data_ Indexes and ratios.mp4 17.8 MB
07 Interactivity/002 When to go interactive.mp4 15.9 MB
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【影视】 [DesireCourse.Net] Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks

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