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- 【影视】 [Udemy] Python for Data Science and Machine Learning Bootcamp (2020) [En]
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收录时间:2021-04-02
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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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- 【压缩文件】 [ FreeCourseWeb.com ] Applied Unsupervised Learning with R (eLearning).zip
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[ FreeCourseWeb.com ] Applied Unsupervised Learning with R (eLearning).zip 6.0 GB
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- 【影视】 [FreeCoursesOnline.Me] Pluralsight - Network Protocol Deep Dives - Learning Paths
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收录时间:2023-12-19
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ARP/5. Addressing ARP-related Security Risks/5. Demo- CAM Table Flood with Port Security.mp4 128.7 MB
EIGRP/5. Showing How Information Is Exchanged with EIGRP/3. Network Changes - Demo.mp4 113.2 MB
DNS/protocol-deep-dive-dns.zip 92.1 MB
OSPF/5. Introducing Multi-area OSPF (Hierarchy)/05. Exploring the Different OSPF Area Types.mp4 82.9 MB
DNS/4. Troubleshooting DNS/7. Demo Troubleshooting Slow Responses.mp4 73.7 MB
EIGRP/3. Digging into EIGRP Relationships/2. Forming a Neighborship.mp4 72.8 MB
ARP/3. Understanding InARP, GARP, RARP, and Proxy ARP/10. Demo- Proxy ARP.mp4 67.5 MB
OSPF/3. Forming Basic OSPF Relationships/03. Viewing the Requirements to Form an OSPF Neighborship.mp4 63.7 MB
OSPF/6. Troubleshooting Common OSPF Issues/7. Troubleshooting Common OSPF Issues - Network Type Mismatch.mp4 57.7 MB
ARP/2. Address Resolution Protocol Fundamentals/6. Demo- Cisco Router ARP Basics.mp4 54.2 MB
DHCP/2. Course Overview and DHCPv4/7. Configuring DHCPv4 on Cisco.mp4 53.9 MB
OSPF/3. Forming Basic OSPF Relationships/05. Looking into Neighbor States.mp4 51.4 MB
OSPF/5. Introducing Multi-area OSPF (Hierarchy)/09. Viewing the Summary LSA (Type 4).mp4 51.3 MB
DNS/2. Configuring DNS for Clients/3. Demo Clearing Cache on Client and Server.mp4 50.6 MB
IPsec/4. Using IPsec in the Enterprise/3. Using IPsec with DMVPN.mp4 50.0 MB
DNS/3. Modifying DNS Configuration for Servers/1. Demo Creating Zones.mp4 49.3 MB
OSPF/4. Discussing Simple OSPF Communication Blocks/4. Viewing into the Router LSA (Type 1).mp4 48.4 MB
EIGRP/7. Reviewing EIGRP Load-balancing/3. Implementing EIGRP Load-balancing.mp4 47.9 MB
ARP/2. Address Resolution Protocol Fundamentals/3. Demo- Windows and ARP.mp4 47.3 MB
ARP/4. Troubleshooting Common ARP Issues/06. Demo- Static ARP Problems.mp4 46.8 MB
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- 【影视】 [CourseClub.Me] Pluralsight - Network Protocol Deep Dives - Learning Paths
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收录时间:2024-01-02
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ARP/5. Addressing ARP-related Security Risks/5. Demo- CAM Table Flood with Port Security.mp4 128.7 MB
EIGRP/5. Showing How Information Is Exchanged with EIGRP/3. Network Changes - Demo.mp4 113.2 MB
DNS/protocol-deep-dive-dns.zip 92.1 MB
OSPF/5. Introducing Multi-area OSPF (Hierarchy)/05. Exploring the Different OSPF Area Types.mp4 82.9 MB
DNS/4. Troubleshooting DNS/7. Demo Troubleshooting Slow Responses.mp4 73.7 MB
EIGRP/3. Digging into EIGRP Relationships/2. Forming a Neighborship.mp4 72.8 MB
ARP/3. Understanding InARP, GARP, RARP, and Proxy ARP/10. Demo- Proxy ARP.mp4 67.5 MB
OSPF/3. Forming Basic OSPF Relationships/03. Viewing the Requirements to Form an OSPF Neighborship.mp4 63.7 MB
OSPF/6. Troubleshooting Common OSPF Issues/7. Troubleshooting Common OSPF Issues - Network Type Mismatch.mp4 57.7 MB
ARP/2. Address Resolution Protocol Fundamentals/6. Demo- Cisco Router ARP Basics.mp4 54.2 MB
DHCP/2. Course Overview and DHCPv4/7. Configuring DHCPv4 on Cisco.mp4 53.9 MB
OSPF/3. Forming Basic OSPF Relationships/05. Looking into Neighbor States.mp4 51.4 MB
OSPF/5. Introducing Multi-area OSPF (Hierarchy)/09. Viewing the Summary LSA (Type 4).mp4 51.3 MB
DNS/2. Configuring DNS for Clients/3. Demo Clearing Cache on Client and Server.mp4 50.6 MB
IPsec/4. Using IPsec in the Enterprise/3. Using IPsec with DMVPN.mp4 50.0 MB
DNS/3. Modifying DNS Configuration for Servers/1. Demo Creating Zones.mp4 49.3 MB
OSPF/4. Discussing Simple OSPF Communication Blocks/4. Viewing into the Router LSA (Type 1).mp4 48.4 MB
EIGRP/7. Reviewing EIGRP Load-balancing/3. Implementing EIGRP Load-balancing.mp4 47.9 MB
ARP/2. Address Resolution Protocol Fundamentals/3. Demo- Windows and ARP.mp4 47.3 MB
ARP/4. Troubleshooting Common ARP Issues/06. Demo- Static ARP Problems.mp4 46.8 MB
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- 【压缩文件】 SolidWorks 2019 Automobile System Design, Deep learning A-Z
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收录时间:2021-03-11
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SolidWorks 2019 Automobile System Design, Deep learning A-Z.zip 6.0 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes
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- 【影视】 Udacity - Deep Learning Foundation
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Udacity - Deep Learning Foundation v1.0.0/Part 03-Module 02-Lesson 03_Q&A with FloydHub Founders/01. Floyd QA-KUc59DPfBeo.mp4 226.1 MB
Udacity - Deep Learning Foundation v1.0.0/Part 01-Module 02-Lesson 01_Regression/03. Siraj's Intro to Deep Learning - How to Make a Prediction-QN1ZwKszguE.mp4 66.5 MB
Udacity - Deep Learning Foundation v1.0.0/Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/12. Mini Project 3 Solution-imnxzCev4SI.mp4 57.2 MB
Udacity - Deep Learning Foundation v1.0.0/Part 07-Module 01-Lesson 04_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.mp4 57.2 MB
Udacity - Deep Learning Foundation v1.0.0/Part 03-Module 07-Lesson 02_Siraj's Reinforcement Learning/01. How to Win Slot Machines - Intro to Deep Learning #13-AIeWLTUYLZQ.mp4 54.5 MB
Udacity - Deep Learning Foundation v1.0.0/Part 03-Module 08-Lesson 01_Siraj's Image Generation/01. How to Generate Images - Intro to Deep Learning #14-3-UDwk1U77s.mp4 53.2 MB
Udacity - Deep Learning Foundation v1.0.0/Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/13. Understanding Neural Noise-ubqhh4Iv7O4.mp4 52.7 MB
Udacity - Deep Learning Foundation v1.0.0/Part 07-Module 01-Lesson 04_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.mp4 52.7 MB
Udacity - Deep Learning Foundation v1.0.0/Part 11-Module 01-Lesson 09_Deep Q-Learning/07. Experience Replay-wX_-SZG-YMQ.mp4 50.7 MB
Udacity - Deep Learning Foundation v1.0.0/Part 03-Module 06-Lesson 02_Siraj's Chatbot/01. How to Make a Chatbot - Intro to Deep Learning #12-t5qgjJIBy9g.mp4 49.9 MB
Udacity - Deep Learning Foundation v1.0.0/Part 04-Module 01-Lesson 02_Siraj's Video Generation/01. How to Generate Video - Intro to Deep Learning #15--E2N1kQc8MM.mp4 49.1 MB
Udacity - Deep Learning Foundation v1.0.0/Part 11-Module 01-Lesson 10_Policy-Based Methods/07. M2L3 07 V2-ZBLLGIN1EfU.mp4 45.7 MB
Udacity - Deep Learning Foundation v1.0.0/Part 03-Module 03-Lesson 02_Siraj's Music Generation/01. How to Generate Music - Intro to Deep Learning #9-4DMm5Lhey1U.mp4 45.6 MB
Udacity - Deep Learning Foundation v1.0.0/Part 03-Module 02-Lesson 02_Siraj's Style Transfer/01. How to Generate Art - Intro to Deep Learning #8-Oex0eWoU7AQ.mp4 43.2 MB
Udacity - Deep Learning Foundation v1.0.0/Part 02-Module 05-Lesson 03_Siraj's Image Classification/02. How to Make an Image Classifier - Intro to Deep Learning #6-cAICT4Al5Ow.mp4 42.6 MB
Udacity - Deep Learning Foundation v1.0.0/Part 03-Module 01-Lesson 02_Siraj's Stock Prediction/01. How to Predict Stock Prices Easily - Intro to Deep Learning #7-ftMq5ps503w.mp4 41.3 MB
Udacity - Deep Learning Foundation v1.0.0/Part 11-Module 01-Lesson 09_Deep Q-Learning/10. DQN Improvements-Zfdbp93A2GU.mp4 41.3 MB
Udacity - Deep Learning Foundation v1.0.0/Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/20. Mini Project 6 Solution-ji0famK7gOQ.mp4 41.0 MB
Udacity - Deep Learning Foundation v1.0.0/Part 07-Module 01-Lesson 04_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.mp4 41.0 MB
Udacity - Deep Learning Foundation v1.0.0/Part 01-Module 01-Lesson 04_Applying Deep Learning/03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.mp4 40.0 MB
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- 【影视】 Udacity - Deep Learning Foundation v1.0.0
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Part 02-Module 03-Lesson 01_MiniFlow/07. Pixels are Features!-qE5YYXtPq9U.en-US.vtt 72 Bytes
Part 02-Module 03-Lesson 01_MiniFlow/07. Pixels are Features!-qE5YYXtPq9U.pt-BR.vtt 91 Bytes
Part 02-Module 05-Lesson 02_Convolutional Networks/01. Intro to CNNs-B61jxZ4rkMs.zh-CN.vtt 301 Bytes
Part 02-Module 05-Lesson 02_Convolutional Networks/01. Intro to CNNs-B61jxZ4rkMs.en.vtt 303 Bytes
Part 02-Module 05-Lesson 02_Convolutional Networks/01. Intro to CNNs-B61jxZ4rkMs.en-US.vtt 309 Bytes
Part 02-Module 05-Lesson 02_Convolutional Networks/01. Intro to CNNs-B61jxZ4rkMs.pt-BR.vtt 324 Bytes
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt 364 Bytes
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt 390 Bytes
Part 07-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.zh-CN.vtt 419 Bytes
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt 420 Bytes
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.pt-BR.vtt 420 Bytes
README.txt 454 Bytes
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.zh-CN.vtt 456 Bytes
Part 07-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.en.vtt 466 Bytes
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.zh-CN.vtt 468 Bytes
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.pt-BR.vtt 472 Bytes
Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.zh-CN.vtt 475 Bytes
Part 02-Module 05-Lesson 02_Convolutional Networks/01. Intro to CNNs-B61jxZ4rkMs.ja-JP.vtt 477 Bytes
Part 07-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.pt-BR.vtt 478 Bytes
Part 07-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt 481 Bytes
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Part 03-Module 02-Lesson 03_Q&A with FloydHub Founders/01. Floyd QA-KUc59DPfBeo.mp4 226.1 MB
Part 01-Module 02-Lesson 01_Regression/03. Siraj's Intro to Deep Learning - How to Make a Prediction-QN1ZwKszguE.mp4 66.5 MB
Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/12. Mini Project 3 Solution-imnxzCev4SI.mp4 57.2 MB
Part 07-Module 01-Lesson 04_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.mp4 57.2 MB
Part 03-Module 07-Lesson 02_Siraj's Reinforcement Learning/01. How to Win Slot Machines - Intro to Deep Learning #13-AIeWLTUYLZQ.mp4 54.5 MB
Part 03-Module 08-Lesson 01_Siraj's Image Generation/01. How to Generate Images - Intro to Deep Learning #14-3-UDwk1U77s.mp4 53.2 MB
Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/13. Understanding Neural Noise-ubqhh4Iv7O4.mp4 52.7 MB
Part 07-Module 01-Lesson 04_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.mp4 52.7 MB
Part 11-Module 01-Lesson 09_Deep Q-Learning/07. Experience Replay-wX_-SZG-YMQ.mp4 50.7 MB
Part 03-Module 06-Lesson 02_Siraj's Chatbot/01. How to Make a Chatbot - Intro to Deep Learning #12-t5qgjJIBy9g.mp4 49.9 MB
Part 04-Module 01-Lesson 02_Siraj's Video Generation/01. How to Generate Video - Intro to Deep Learning #15--E2N1kQc8MM.mp4 49.1 MB
Part 11-Module 01-Lesson 10_Policy-Based Methods/07. M2L3 07 V2-ZBLLGIN1EfU.mp4 45.7 MB
Part 03-Module 03-Lesson 02_Siraj's Music Generation/01. How to Generate Music - Intro to Deep Learning #9-4DMm5Lhey1U.mp4 45.6 MB
Part 03-Module 02-Lesson 02_Siraj's Style Transfer/01. How to Generate Art - Intro to Deep Learning #8-Oex0eWoU7AQ.mp4 43.2 MB
Part 02-Module 05-Lesson 03_Siraj's Image Classification/02. How to Make an Image Classifier - Intro to Deep Learning #6-cAICT4Al5Ow.mp4 42.6 MB
Part 03-Module 01-Lesson 02_Siraj's Stock Prediction/01. How to Predict Stock Prices Easily - Intro to Deep Learning #7-ftMq5ps503w.mp4 41.3 MB
Part 11-Module 01-Lesson 09_Deep Q-Learning/10. DQN Improvements-Zfdbp93A2GU.mp4 41.3 MB
Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/20. Mini Project 6 Solution-ji0famK7gOQ.mp4 41.0 MB
Part 07-Module 01-Lesson 04_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.mp4 41.0 MB
Part 01-Module 01-Lesson 04_Applying Deep Learning/03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.mp4 40.0 MB
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03 - Machine Learning Numpy + Scikit Learn/012 CART part 2.mp4 174.6 MB
12 - Pixel Level Segmentation (Semantic Segmentation) with PyTorch/009 Semantic Segmentation training with PyTorch Lightning.mp4 136.5 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/005 Titanic dataset.mp4 122.0 MB
09 - Deep Learning Recurrent Neural Nets/010 Sequence to Sequence models Prediction step.mp4 109.8 MB
13 - Deep Learning Transformers and BERT/008 Pytorch Lightning + DistilBERT for classification.mp4 107.7 MB
05 - Unsupervised Learning/002 Fashion MNIST PCA.mp4 107.1 MB
09 - Deep Learning Recurrent Neural Nets/005 Deep Learning - Long Short Term Memory (LSTM) Nets.mp4 95.4 MB
03 - Machine Learning Numpy + Scikit Learn/009 Linear Regresson Part 1.mp4 94.9 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/007 Sklearn classification.mp4 94.4 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/019 Area Under Curve (AUC) Part 1.mp4 88.2 MB
09 - Deep Learning Recurrent Neural Nets/008 Sequence to Sequence Introduction + Data Prep.mp4 84.0 MB
10 - Deep Learning PyTorch Introduction/006 Deep Learning with Pytorch Stochastic Gradient Descent.mp4 83.3 MB
03 - Machine Learning Numpy + Scikit Learn/004 Kmeans part 1.mp4 82.2 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/012 FB Prophet part 1.mp4 81.8 MB
06 - Natural Language Processing + Regularization/009 Feature Extraction with Spacy (using Pandas).mp4 80.2 MB
09 - Deep Learning Recurrent Neural Nets/007 Transfer Learning - GLOVE vectors.mp4 78.2 MB
03 - Machine Learning Numpy + Scikit Learn/010 Linear Regression Part 2.mp4 75.0 MB
14 - Bayesian Learning and probabilistic programming/005 Coin Toss Example with Pymc3.mp4 74.1 MB
14 - Bayesian Learning and probabilistic programming/004 Bayesian learning Population estimation pymc3 way.mp4 74.0 MB
08 - Deep Learning (TensorFlow) - Convolutional Neural Nets/008 Nose Tip detection with CNNs.mp4 72.0 MB
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03 - Machine Learning Numpy + Scikit Learn/012 CART part 2.mp4 174.6 MB
12 - Pixel Level Segmentation (Semantic Segmentation) with PyTorch/009 Semantic Segmentation training with PyTorch Lightning.mp4 136.5 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/005 Titanic dataset.mp4 122.0 MB
09 - Deep Learning Recurrent Neural Nets/010 Sequence to Sequence models Prediction step.mp4 109.8 MB
13 - Deep Learning Transformers and BERT/008 Pytorch Lightning + DistilBERT for classification.mp4 107.7 MB
05 - Unsupervised Learning/002 Fashion MNIST PCA.mp4 107.1 MB
09 - Deep Learning Recurrent Neural Nets/005 Deep Learning - Long Short Term Memory (LSTM) Nets.mp4 95.4 MB
03 - Machine Learning Numpy + Scikit Learn/009 Linear Regresson Part 1.mp4 94.9 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/007 Sklearn classification.mp4 94.4 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/019 Area Under Curve (AUC) Part 1.mp4 88.2 MB
09 - Deep Learning Recurrent Neural Nets/008 Sequence to Sequence Introduction + Data Prep.mp4 84.0 MB
10 - Deep Learning PyTorch Introduction/006 Deep Learning with Pytorch Stochastic Gradient Descent.mp4 83.3 MB
03 - Machine Learning Numpy + Scikit Learn/004 Kmeans part 1.mp4 82.2 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/012 FB Prophet part 1.mp4 81.8 MB
06 - Natural Language Processing + Regularization/009 Feature Extraction with Spacy (using Pandas).mp4 80.2 MB
09 - Deep Learning Recurrent Neural Nets/007 Transfer Learning - GLOVE vectors.mp4 78.2 MB
03 - Machine Learning Numpy + Scikit Learn/010 Linear Regression Part 2.mp4 75.0 MB
14 - Bayesian Learning and probabilistic programming/005 Coin Toss Example with Pymc3.mp4 74.1 MB
14 - Bayesian Learning and probabilistic programming/004 Bayesian learning Population estimation pymc3 way.mp4 74.0 MB
08 - Deep Learning (TensorFlow) - Convolutional Neural Nets/008 Nose Tip detection with CNNs.mp4 72.0 MB
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收录时间:2022-04-09
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03 - Machine Learning Numpy + Scikit Learn/012 CART part 2.mp4 174.6 MB
12 - Pixel Level Segmentation (Semantic Segmentation) with PyTorch/009 Semantic Segmentation training with PyTorch Lightning.mp4 136.5 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/005 Titanic dataset.mp4 122.0 MB
09 - Deep Learning Recurrent Neural Nets/010 Sequence to Sequence models Prediction step.mp4 109.8 MB
13 - Deep Learning Transformers and BERT/008 Pytorch Lightning + DistilBERT for classification.mp4 107.7 MB
05 - Unsupervised Learning/002 Fashion MNIST PCA.mp4 107.1 MB
09 - Deep Learning Recurrent Neural Nets/005 Deep Learning - Long Short Term Memory (LSTM) Nets.mp4 95.4 MB
03 - Machine Learning Numpy + Scikit Learn/009 Linear Regresson Part 1.mp4 94.9 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/007 Sklearn classification.mp4 94.4 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/019 Area Under Curve (AUC) Part 1.mp4 88.2 MB
09 - Deep Learning Recurrent Neural Nets/008 Sequence to Sequence Introduction + Data Prep.mp4 84.0 MB
10 - Deep Learning PyTorch Introduction/006 Deep Learning with Pytorch Stochastic Gradient Descent.mp4 83.3 MB
03 - Machine Learning Numpy + Scikit Learn/004 Kmeans part 1.mp4 82.2 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/012 FB Prophet part 1.mp4 81.8 MB
06 - Natural Language Processing + Regularization/009 Feature Extraction with Spacy (using Pandas).mp4 80.2 MB
09 - Deep Learning Recurrent Neural Nets/007 Transfer Learning - GLOVE vectors.mp4 78.2 MB
03 - Machine Learning Numpy + Scikit Learn/010 Linear Regression Part 2.mp4 75.0 MB
14 - Bayesian Learning and probabilistic programming/005 Coin Toss Example with Pymc3.mp4 74.1 MB
14 - Bayesian Learning and probabilistic programming/004 Bayesian learning Population estimation pymc3 way.mp4 74.0 MB
08 - Deep Learning (TensorFlow) - Convolutional Neural Nets/008 Nose Tip detection with CNNs.mp4 72.0 MB
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- 【影视】 Deep Learning using Keras - Complete & Compact Dummies Guide
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[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/01 Course Introduction and Table of Contents/001 Course Introduction and Table of Contents.mp4 267.6 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/17 Step 2 and 3 EDA and Data Preparation/001 Step 2 and 3 EDA and Data Preparation - Part 1.mp4 157.0 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/52 Hyper Parameter Tuning/002 Hyper Parameter Tuning - Part 2.mp4 131.7 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/40 CNN Basics/001 CNN Basics.mp4 131.6 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/17 Step 2 and 3 EDA and Data Preparation/002 Step 2 and 3 EDA and Data Preparation - Part 2.mp4 126.3 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/19 Step 5 and 6 Compile and Fit Model/001 Step 5 and 6 Compile and Fit Model.mp4 115.6 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/45 Flowers Classification CNN - Training and Visualization/001 Flowers Classification CNN - Training and Visualization.mp4 111.7 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/56 VGG16 Transfer Learning Training Flowers Dataset/002 VGG16 Transfer Learning Training Flowers Dataset - part 2.mp4 111.5 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/38 Keras Directory Image Augmentation/001 Keras Directory Image Augmentation.mp4 110.8 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/37 Keras Single Image Augmentation/001 Keras Single Image Augmentation - Part 1.mp4 109.1 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/30 Step 2 - EDA and Data Visualization/001 Step 2 - EDA and Data Visualization.mp4 106.0 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/54 VGG16 and VGG19 prediction/001 VGG16 and VGG19 prediction - Part 1.mp4 105.6 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/16 King County House Sales Regression Model - Step 1 Fetch and Load Dataset/001 King County House Sales Regression Model - Step 1 Fetch and Load Dataset.mp4 104.6 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/39 Keras Data Frame Augmentation/001 Keras Data Frame Augmentation.mp4 103.9 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/52 Hyper Parameter Tuning/001 Hyper Parameter Tuning - Part 1.mp4 102.7 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/41 Stride Padding and Flattening Concepts of CNN/001 Stride Padding and Flattening Concepts of CNN.mp4 100.8 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/53 Transfer Learning using Pretrained Models - VGG Introduction/001 Transfer Learning using Pretrained Models - VGG Introduction.mp4 100.6 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/37 Keras Single Image Augmentation/002 Keras Single Image Augmentation - Part 2.mp4 99.7 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/55 ResNet50 Prediction/001 ResNet50 Prediction.mp4 98.8 MB
[TutsNode.com] - Deep Learning using Keras - Complete & Compact Dummies Guide/42 Flowers CNN Image Classification Model - Fetch Load and Prepare Data/001 Flowers CNN Image Classification Model - Fetch Load and Prepare Data.mp4 96.8 MB
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- 【影视】 Machine Learning with Python from Scratch
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Machine Learning with Python from Scratch/3. Machine Learning/20. L20-Linear Regression.mp4 180.3 MB
Machine Learning with Python from Scratch/5. Applications/4. L4-Recognizing Handwritten Digits.mp4 171.9 MB
Machine Learning with Python from Scratch/3. Machine Learning/5. L5-Logistic Regression.mp4 171.6 MB
Machine Learning with Python from Scratch/2. Data Analysis/10. L10-Pandas Merge-Join-Concat-Group by.mp4 136.0 MB
Machine Learning with Python from Scratch/3. Machine Learning/24. L24-RANSAC Regression.mp4 133.6 MB
Machine Learning with Python from Scratch/3. Machine Learning/14. L14-Principal Component Analysis(PCA).mp4 132.8 MB
Machine Learning with Python from Scratch/3. Machine Learning/11. L11-KNN.mp4 130.1 MB
Machine Learning with Python from Scratch/3. Machine Learning/9. L9-Decision Trees.mp4 127.3 MB
Machine Learning with Python from Scratch/3. Machine Learning/6. L6-Plotting Decision Boundaries.mp4 121.6 MB
Machine Learning with Python from Scratch/2. Data Analysis/12. L12-Time Series with Pandas.mp4 119.8 MB
Machine Learning with Python from Scratch/4. Neural Networks/1. L1-Neural Networks Concepts-Part 1.mp4 118.9 MB
Machine Learning with Python from Scratch/3. Machine Learning/21. L21-Regularization with Lasso, Ridge and ElasticNet.mp4 117.0 MB
Machine Learning with Python from Scratch/3. Machine Learning/17. L17-Ensemble Methods(Bagging).mp4 116.5 MB
Machine Learning with Python from Scratch/1. Environment Setup/2. L1-Anaconda.mp4 115.5 MB
Machine Learning with Python from Scratch/4. Neural Networks/8. L8-Constructing an ANN with Python-part3.mp4 112.9 MB
Machine Learning with Python from Scratch/2. Data Analysis/21. L21-Seaborn Categorical Data.mp4 112.5 MB
Machine Learning with Python from Scratch/3. Machine Learning/22. L22-Polynomial Regression.mp4 109.4 MB
Machine Learning with Python from Scratch/5. Applications/2. L2-ANN for Regression Part 1.mp4 109.1 MB
Machine Learning with Python from Scratch/3. Machine Learning/13. L13-K-Means.mp4 108.7 MB
Machine Learning with Python from Scratch/4. Neural Networks/7. L7-Constructing an ANN with Python-part2.mp4 107.6 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Complete Machine Learning with R Studio - ML for 2023
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17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/4. XGBoosting in R.mp4 195.5 MB
21. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 175.1 MB
7. Regression models other than OLS/5. Ridge regression and Lasso in R.mp4 130.0 MB
21. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4 130.0 MB
4. Intorduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.3 MB
13. Simple Decision Trees/8. Building a Regression Tree in R.mp4 127.8 MB
2. Setting up R Studio and R crash course/8. Creating Barplots in R.mp4 122.9 MB
5. Data Preprocessing for Regression Analysis/12. Bi-variate Analysis and Variable Transformation.mp4 118.6 MB
5. Data Preprocessing for Regression Analysis/6. EDD in R.mp4 117.4 MB
6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4 108.9 MB
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/3. AdaBoosting in R.mp4 108.0 MB
14. Simple Classification Tree/3. Building a classification Tree in R.mp4 105.0 MB
21. Creating Support Vector Machine Model in R/5. Polynomial Kernel with Hyperparameter Tuning.mp4 103.4 MB
2. Setting up R Studio and R crash course/4. Packages in R.mp4 103.3 MB
13. Simple Decision Trees/10. Pruning a Tree in R.mp4 101.7 MB
5. Data Preprocessing for Regression Analysis/18. Correlation Matrix in R.mp4 99.6 MB
6. Linear Regression Model/14. Test-Train Split in R.mp4 95.3 MB
11. K-Nearest Neighbors/2. Test-Train Split in R.mp4 94.5 MB
10. Linear Discriminant Analysis/2. Linear Discriminant Analysis in R.mp4 93.8 MB
7. Regression models other than OLS/2. Subset Selection techniques.mp4 90.9 MB
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- 【影视】 [GigaCourse.Com] Udemy - Deep Learning using Keras - Complete Compact Dummies Guide
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收录时间:2022-01-14
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01 Course Introduction and Table of Contents/001 Course Introduction and Table of Contents.mp4 267.6 MB
17 Step 2 and 3 EDA and Data Preparation/001 Step 2 and 3 EDA and Data Preparation - Part 1.mp4 157.0 MB
52 Hyper Parameter Tuning/002 Hyper Parameter Tuning - Part 2.mp4 131.7 MB
40 CNN Basics/001 CNN Basics.mp4 131.6 MB
17 Step 2 and 3 EDA and Data Preparation/002 Step 2 and 3 EDA and Data Preparation - Part 2.mp4 126.3 MB
19 Step 5 and 6 Compile and Fit Model/001 Step 5 and 6 Compile and Fit Model.mp4 115.6 MB
45 Flowers Classification CNN - Training and Visualization/001 Flowers Classification CNN - Training and Visualization.mp4 111.7 MB
56 VGG16 Transfer Learning Training Flowers Dataset/002 VGG16 Transfer Learning Training Flowers Dataset - part 2.mp4 111.5 MB
38 Keras Directory Image Augmentation/001 Keras Directory Image Augmentation.mp4 110.8 MB
37 Keras Single Image Augmentation/001 Keras Single Image Augmentation - Part 1.mp4 109.1 MB
30 Step 2 - EDA and Data Visualization/001 Step 2 - EDA and Data Visualization.mp4 106.0 MB
54 VGG16 and VGG19 prediction/001 VGG16 and VGG19 prediction - Part 1.mp4 105.6 MB
16 King County House Sales Regression Model - Step 1 Fetch and Load Dataset/001 King County House Sales Regression Model - Step 1 Fetch and Load Dataset.mp4 104.6 MB
39 Keras Data Frame Augmentation/001 Keras Data Frame Augmentation.mp4 103.9 MB
52 Hyper Parameter Tuning/001 Hyper Parameter Tuning - Part 1.mp4 102.7 MB
41 Stride Padding and Flattening Concepts of CNN/001 Stride Padding and Flattening Concepts of CNN.mp4 100.8 MB
53 Transfer Learning using Pretrained Models - VGG Introduction/001 Transfer Learning using Pretrained Models - VGG Introduction.mp4 100.6 MB
37 Keras Single Image Augmentation/002 Keras Single Image Augmentation - Part 2.mp4 99.7 MB
55 ResNet50 Prediction/001 ResNet50 Prediction.mp4 98.8 MB
42 Flowers CNN Image Classification Model - Fetch Load and Prepare Data/001 Flowers CNN Image Classification Model - Fetch Load and Prepare Data.mp4 96.8 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Deep Learning using Keras - Complete Compact Dummies Guide
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01 Course Introduction and Table of Contents/001 Course Introduction and Table of Contents.mp4 267.6 MB
17 Step 2 and 3 EDA and Data Preparation/001 Step 2 and 3 EDA and Data Preparation - Part 1.mp4 157.0 MB
52 Hyper Parameter Tuning/002 Hyper Parameter Tuning - Part 2.mp4 131.7 MB
40 CNN Basics/001 CNN Basics.mp4 131.6 MB
17 Step 2 and 3 EDA and Data Preparation/002 Step 2 and 3 EDA and Data Preparation - Part 2.mp4 126.3 MB
19 Step 5 and 6 Compile and Fit Model/001 Step 5 and 6 Compile and Fit Model.mp4 115.6 MB
45 Flowers Classification CNN - Training and Visualization/001 Flowers Classification CNN - Training and Visualization.mp4 111.7 MB
56 VGG16 Transfer Learning Training Flowers Dataset/002 VGG16 Transfer Learning Training Flowers Dataset - part 2.mp4 111.5 MB
38 Keras Directory Image Augmentation/001 Keras Directory Image Augmentation.mp4 110.8 MB
37 Keras Single Image Augmentation/001 Keras Single Image Augmentation - Part 1.mp4 109.1 MB
30 Step 2 - EDA and Data Visualization/001 Step 2 - EDA and Data Visualization.mp4 106.0 MB
54 VGG16 and VGG19 prediction/001 VGG16 and VGG19 prediction - Part 1.mp4 105.6 MB
16 King County House Sales Regression Model - Step 1 Fetch and Load Dataset/001 King County House Sales Regression Model - Step 1 Fetch and Load Dataset.mp4 104.6 MB
39 Keras Data Frame Augmentation/001 Keras Data Frame Augmentation.mp4 103.9 MB
52 Hyper Parameter Tuning/001 Hyper Parameter Tuning - Part 1.mp4 102.7 MB
41 Stride Padding and Flattening Concepts of CNN/001 Stride Padding and Flattening Concepts of CNN.mp4 100.8 MB
53 Transfer Learning using Pretrained Models - VGG Introduction/001 Transfer Learning using Pretrained Models - VGG Introduction.mp4 100.6 MB
37 Keras Single Image Augmentation/002 Keras Single Image Augmentation - Part 2.mp4 99.7 MB
55 ResNet50 Prediction/001 ResNet50 Prediction.mp4 98.8 MB
42 Flowers CNN Image Classification Model - Fetch Load and Prepare Data/001 Flowers CNN Image Classification Model - Fetch Load and Prepare Data.mp4 96.8 MB
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- 【影视】 Machine Learning A-Z™ Hands-On Python & R In Data Science
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[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/36 Kernel PCA/264 Kernel PCA in R.mp4 59.3 MB
Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt 59 Bytes
TutsGalaxy.com.txt 41 Bytes
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/001 Applications of Machine Learning-subtitle-en.srt 5.6 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/001 Applications of Machine Learning.mp4 8.4 MB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/002 Why Machine Learning is the Future-subtitle-en.srt 9.8 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/002 Why Machine Learning is the Future.mp4 13.4 MB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/003 Installing R and R Studio (MAC & Windows)-subtitle-en.srt 9.4 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/003 Installing R and R Studio (MAC & Windows).mp4 18.4 MB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/004 Update_ Recommended Anaconda Version.html 2.3 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/005 Installing Python and Anaconda (MAC & Windows)-subtitle-en.srt 12.6 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/005 Installing Python and Anaconda (MAC & Windows).mp4 20.5 MB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/01 Welcome to the course!/006 BONUS_ Meet your instructors.html 2.2 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/02 -------------------- Part 1_ Data Preprocessing --------------------/007 Welcome to Part 1 - Data Preprocessing-subtitle-en.srt 2.6 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/02 -------------------- Part 1_ Data Preprocessing --------------------/007 Welcome to Part 1 - Data Preprocessing.mp4 3.1 MB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/02 -------------------- Part 1_ Data Preprocessing --------------------/008 Get the dataset-subtitle-en.srt 11.4 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/02 -------------------- Part 1_ Data Preprocessing --------------------/008 Get the dataset.mp4 22.2 MB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/02 -------------------- Part 1_ Data Preprocessing --------------------/009 Importing the Libraries-subtitle-en.srt 8.6 kB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/02 -------------------- Part 1_ Data Preprocessing --------------------/009 Importing the Libraries.mp4 11.6 MB
[Tutsgalaxy.com] - Machine Learning A-Z™ Hands-On Python & R In Data Science/02 -------------------- Part 1_ Data Preprocessing --------------------/010 Importing the Dataset-subtitle-en.srt 19.1 kB
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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science
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01 Welcome to the course!/001 Applications of Machine Learning-subtitle-en.srt 5.6 kB
01 Welcome to the course!/001 Applications of Machine Learning.mp4 8.4 MB
01 Welcome to the course!/002 Why Machine Learning is the Future-subtitle-en.srt 9.8 kB
01 Welcome to the course!/002 Why Machine Learning is the Future.mp4 13.4 MB
01 Welcome to the course!/003 Installing R and R Studio (MAC & Windows)-subtitle-en.srt 9.4 kB
01 Welcome to the course!/003 Installing R and R Studio (MAC & Windows).mp4 18.4 MB
01 Welcome to the course!/004 Update_ Recommended Anaconda Version.html 2.3 kB
01 Welcome to the course!/005 Installing Python and Anaconda (MAC & Windows)-subtitle-en.srt 12.6 kB
01 Welcome to the course!/005 Installing Python and Anaconda (MAC & Windows).mp4 20.5 MB
01 Welcome to the course!/006 BONUS_ Meet your instructors.html 2.2 kB
02 -------------------- Part 1_ Data Preprocessing --------------------/007 Welcome to Part 1 - Data Preprocessing-subtitle-en.srt 2.6 kB
02 -------------------- Part 1_ Data Preprocessing --------------------/007 Welcome to Part 1 - Data Preprocessing.mp4 3.1 MB
02 -------------------- Part 1_ Data Preprocessing --------------------/008 Get the dataset-subtitle-en.srt 11.4 kB
02 -------------------- Part 1_ Data Preprocessing --------------------/008 Get the dataset.mp4 22.2 MB
02 -------------------- Part 1_ Data Preprocessing --------------------/009 Importing the Libraries-subtitle-en.srt 8.6 kB
02 -------------------- Part 1_ Data Preprocessing --------------------/009 Importing the Libraries.mp4 11.6 MB
02 -------------------- Part 1_ Data Preprocessing --------------------/010 Importing the Dataset-subtitle-en.srt 19.1 kB
02 -------------------- Part 1_ Data Preprocessing --------------------/010 Importing the Dataset.mp4 24.4 MB
02 -------------------- Part 1_ Data Preprocessing --------------------/012 Missing Data-subtitle-en.srt 24.2 kB
02 -------------------- Part 1_ Data Preprocessing --------------------/012 Missing Data.mp4 33.7 MB
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- 【影视】 Tom Mitchell - Machine Learning
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收录时间:2018-11-20
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Course Project Guidelines.docx 31.9 kB
homework/homework4_code.zip 63.7 kB
additional notes/additional notes for ch8.pdf 125.4 kB
19_SSL_EoML.pdf 138.3 kB
additional notes/additional notes for ch7.pdf 154.6 kB
additional notes/additional notes for ch5.pdf 155.7 kB
19_colt98_final.ps 161.9 kB
additional notes/additional notes for ch2.pdf 163.5 kB
additional notes/additional notes for ch9.pdf 166.8 kB
homework/homework1.pdf 169.3 kB
homework/homework3.pdf 170.3 kB
recitation/r01_math_decision_trees.pdf 170.4 kB
16_perceptron-notes.pdf 173.5 kB
homework/homework4.pdf 176.6 kB
08_sc-2015.pdf 181.0 kB
homework/homework2.pdf 182.6 kB
homework/homework3_sol.pdf 183.9 kB
additional notes/additional notes for ch3.pdf 185.1 kB
18_cs229-notes3.pdf 193.3 kB
07_NBayesLogReg.pdf 193.6 kB
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- 【影视】 Higher.Learning.1995.720p.BluRay.x264-SiNNERS[rarbg]
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Higher.Learning.1995.720p.BluRay.x264-SiNNERS.mkv 5.9 GB
higher.learning.1995.720p.bluray.x264-sinners.nfo 18.3 kB
RARBG_DO_NOT_MIRROR.exe 99 Bytes
RARBG.txt 30 Bytes
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