udemy artificial intelligence -移花宫 -武林禁地，闲人禁止入内

[GigaCourse.com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

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
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

[磁力链接] 添加时间:2021-05-18 大小:7.5 GB 最近下载:2025-05-19 热度:2715

[GigaCourse.Com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB

[磁力链接] 添加时间:2022-03-04 大小:7.3 GB 最近下载:2025-05-20 热度:1350

GetFreeCourses.Co-Udemy-Tensorflow 2.0 Deep Learning and Artificial Intelligence

18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB

[磁力链接] 添加时间:2023-12-17 大小:7.3 GB 最近下载:2025-05-18 热度:4437

[Tutorialsplanet.NET] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

18/2. Anaconda Environment Setup.mp4 189.7 MB
18/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB

[磁力链接] 添加时间:2022-03-14 大小:7.3 GB 最近下载:2025-05-16 热度:1103

[FreeCourseSite.com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB

[磁力链接] 添加时间:2022-03-24 大小:7.3 GB 最近下载:2025-04-23 热度:219

[FreeCourseSite.com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB

[磁力链接] 添加时间:2024-01-15 大小:7.3 GB 最近下载:2025-05-10 热度:1434

[DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

18. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Appendix FAQ/3. 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
18. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 128.6 MB
18. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
18. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 87.6 MB

[磁力链接] 添加时间:2022-01-11 大小:7.2 GB 最近下载:2025-02-06 热度:42

[FreeCourseSite.com] Udemy - Artificial Intelligence A-Z™ 2023 Build an AI with ChatGPT4

18 - A3C Visualization/100 - Watching our AI play Breakout.mp4 278.3 MB
12 - Deep Convolutional QLearning Implementation/67 - Doom Step 13.mp4 239.2 MB
7 - Deep QLearning Implementation/39 - Self Driving Car Step 13.mp4 225.1 MB
7 - Deep QLearning Implementation/28 - Self Driving Car Step 2.mp4 211.5 MB
12 - Deep Convolutional QLearning Implementation/70 - Doom Step 16.mp4 202.1 MB
20 - Annex 1 Artificial Neural Networks/103 - What is Deep Learning.mp4 187.1 MB
7 - Deep QLearning Implementation/38 - Self Driving Car Step 12.mp4 158.1 MB
8 - Deep QLearning Visualization/46 - Self Driving Car Level 4.mp4 149.1 MB
21 - Annex 2 Convolutional Neural Networks/116 - Step 2 Pooling.mp4 146.7 MB
13 - Deep Convolutional QLearning Visualization/74 - Doom Step 19.mp4 146.1 MB
12 - Deep Convolutional QLearning Implementation/68 - Doom Step 14.mp4 141.9 MB
13 - Deep Convolutional QLearning Visualization/73 - Doom Step 18.mp4 139.0 MB
7 - Deep QLearning Implementation/35 - Self Driving Car Step 9.mp4 115.3 MB
18 - A3C Visualization/101 - THANK YOU Video.mp4 111.4 MB
21 - Annex 2 Convolutional Neural Networks/113 - What are convolutional neural networks.mp4 109.4 MB
7 - Deep QLearning Implementation/37 - Self Driving Car Step 11.mp4 105.6 MB
17 - A3C Implementation/91 - Breakout Step 6.mp4 105.4 MB
17 - A3C Implementation/97 - Breakout Step 12.mp4 105.4 MB
21 - Annex 2 Convolutional Neural Networks/118 - Step 4 Full Connection.mp4 104.3 MB
16 - A3C Intuition/79 - The three As in A3C.mp4 99.3 MB

[磁力链接] 添加时间:2023-12-20 大小:7.2 GB 最近下载:2025-05-20 热度:12003

GetFreeCourses.Co-Udemy-Artificial Intelligence A-Z™ 2023 Build an AI with ChatGPT4

18 - A3C Visualization/100 - Watching our AI play Breakout.mp4 278.3 MB
12 - Deep Convolutional QLearning Implementation/67 - Doom Step 13.mp4 239.2 MB
7 - Deep QLearning Implementation/39 - Self Driving Car Step 13.mp4 225.1 MB
7 - Deep QLearning Implementation/28 - Self Driving Car Step 2.mp4 211.5 MB
12 - Deep Convolutional QLearning Implementation/70 - Doom Step 16.mp4 202.1 MB
20 - Annex 1 Artificial Neural Networks/103 - What is Deep Learning.mp4 187.1 MB
7 - Deep QLearning Implementation/38 - Self Driving Car Step 12.mp4 158.1 MB
8 - Deep QLearning Visualization/46 - Self Driving Car Level 4.mp4 149.1 MB
21 - Annex 2 Convolutional Neural Networks/116 - Step 2 Pooling.mp4 146.7 MB
13 - Deep Convolutional QLearning Visualization/74 - Doom Step 19.mp4 146.1 MB
12 - Deep Convolutional QLearning Implementation/68 - Doom Step 14.mp4 141.9 MB
13 - Deep Convolutional QLearning Visualization/73 - Doom Step 18.mp4 139.0 MB
7 - Deep QLearning Implementation/35 - Self Driving Car Step 9.mp4 115.3 MB
18 - A3C Visualization/101 - THANK YOU Video.mp4 111.4 MB
21 - Annex 2 Convolutional Neural Networks/113 - What are convolutional neural networks.mp4 109.4 MB
7 - Deep QLearning Implementation/37 - Self Driving Car Step 11.mp4 105.6 MB
17 - A3C Implementation/91 - Breakout Step 6.mp4 105.4 MB
17 - A3C Implementation/97 - Breakout Step 12.mp4 105.4 MB
21 - Annex 2 Convolutional Neural Networks/118 - Step 4 Full Connection.mp4 104.3 MB
16 - A3C Intuition/79 - The three As in A3C.mp4 99.3 MB

[磁力链接] 添加时间:2024-01-30 大小:7.2 GB 最近下载:2025-05-19 热度:1616

[GigaCourse.Com] Udemy - 10 Days of No Code Artificial Intelligence Bootcamp

02. Welcome to the Course!/01.1 10 Days of No Code AI - Course Package.zip 954.5 MB
03. Day 1 Develop an AI model to classify fashion elements using Google Teachable/06. Task 4. Model Training and Testing in Google Teachable Machines.mp4 145.1 MB
06. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/06. Task 4. Final Project Part A.mp4 143.6 MB
09. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/09. Task 7. Explainable AI.mp4 127.6 MB
08. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/11. Task 8. Model Assessment.mp4 127.0 MB
03. Day 1 Develop an AI model to classify fashion elements using Google Teachable/03. Task 2. AI Applications in Fashion.mp4 125.3 MB
12. Day 10 Google Vertex AI-Powered Regression Model Prediction/04. Task 3. Vertex AI Demo Part 1 Setup and Upload.mp4 121.5 MB
10. Day 8 Deploy an AI model to predict customer sentiment from Text/07. Task 5. DataRobot Demo Data Analysis.mp4 117.7 MB
06. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/08. Task 6. CNNs Visualization.mp4 106.2 MB
02. Welcome to the Course!/04. Key AI Components.mp4 105.4 MB
12. Day 10 Google Vertex AI-Powered Regression Model Prediction/03. Task 2. Machine Learning Regression.mp4 104.9 MB
12. Day 10 Google Vertex AI-Powered Regression Model Prediction/06. Task 5. Machine Learning Regression Models Metrics.mp4 104.1 MB
09. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/10. Task 8. Final Project.mp4 103.4 MB
04. Day 2 Deep Dive into AI technicalities/03. Task 2. Artificial Neural Networks (ANNs) Simplified.mp4 101.7 MB
07. Day 5 Develop an ML Model to predict used car prices using DataRobot/13. Task 11. Final Project Part B.mp4 101.4 MB
06. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/11. Task 9. ResNet Visualization in TensorSpace.JS.mp4 100.8 MB
05. Day 3 Detect and classify face masks using Google Teachable Machines/10. Task 8. Final Project.mp4 96.9 MB
06. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/07. Task 5. Convolutional Neural Networks (CNNs).mp4 94.5 MB
06. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/03. Task 2. Artificial Neural Networks 101.mp4 92.9 MB
11. Day 9 Predict credit card default using AWS SageMaker Autopilot/14. Task 8. Final Project Solution - AWS AutoPilot Demo 3.mp4 92.3 MB

[磁力链接] 添加时间:2022-01-28 大小:7.1 GB 最近下载:2025-05-19 热度:3303

[GigaCourse.Com] Udemy - 10 Days of No Code Artificial Intelligence Bootcamp

2. Welcome to the Course!/1.1 10 Days of No Code AI - Course Package.zip 954.5 MB
3. Day 1 Develop an AI model to classify fashion elements using Google Teachable/6. Task 4. Model Training and Testing in Google Teachable Machines.mp4 145.1 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/6. Task 4. Final Project Part A.mp4 143.6 MB
9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/9. Task 7. Explainable AI.mp4 127.6 MB
8. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/11. Task 8. Model Assessment.mp4 127.0 MB
3. Day 1 Develop an AI model to classify fashion elements using Google Teachable/3. Task 2. AI Applications in Fashion.mp4 125.3 MB
12. Day 10 Google Vertex AI-Powered Regression Model Prediction/4. Task 3. Vertex AI Demo Part 1 Setup and Upload.mp4 121.5 MB
10. Day 8 Deploy an AI model to predict customer sentiment from Text/7. Task 5. DataRobot Demo Data Analysis.mp4 117.7 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/8. Task 6. CNNs Visualization.mp4 106.2 MB
2. Welcome to the Course!/4. Key AI Components.mp4 105.4 MB
12. Day 10 Google Vertex AI-Powered Regression Model Prediction/3. Task 2. Machine Learning Regression.mp4 104.9 MB
12. Day 10 Google Vertex AI-Powered Regression Model Prediction/6. Task 5. Machine Learning Regression Models Metrics.mp4 104.1 MB
9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/10. Task 8. Final Project.mp4 103.4 MB
4. Day 2 Deep Dive into AI technicalities/3. Task 2. Artificial Neural Networks (ANNs) Simplified.mp4 101.7 MB
7. Day 5 Develop an ML Model to predict used car prices using DataRobot/13. Task 11. Final Project Part B.mp4 101.4 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/11. Task 9. ResNet Visualization in TensorSpace.JS.mp4 100.8 MB
5. Day 3 Detect and classify face masks using Google Teachable Machines/10. Task 8. Final Project.mp4 96.9 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/7. Task 5. Convolutional Neural Networks (CNNs).mp4 94.5 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/3. Task 2. Artificial Neural Networks 101.mp4 92.9 MB
11. Day 9 Predict credit card default using AWS SageMaker Autopilot/14. Task 8. Final Project Solution - AWS AutoPilot Demo 3.mp4 92.3 MB

[磁力链接] 添加时间:2025-02-12 大小:7.1 GB 最近下载:2025-05-14 热度:34

[FreeCourseSite.com] Udemy - 10 Days of No Code Artificial Intelligence Bootcamp

2. Welcome to the Course!/1.1 10 Days of No Code AI - Course Package.zip 954.5 MB
3. Day 1 Develop an AI model to classify fashion elements using Google Teachable/6. Task 4. Model Training and Testing in Google Teachable Machines.mp4 145.1 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/6. Task 4. Final Project Part A.mp4 143.6 MB
9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/9. Task 7. Explainable AI.mp4 127.6 MB
8. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/11. Task 8. Model Assessment.mp4 127.0 MB
3. Day 1 Develop an AI model to classify fashion elements using Google Teachable/3. Task 2. AI Applications in Fashion.mp4 125.3 MB
12. Day 10 Google Vertex AI-Powered Regression Model Prediction/4. Task 3. Vertex AI Demo Part 1 Setup and Upload.mp4 121.5 MB
10. Day 8 Deploy an AI model to predict customer sentiment from Text/7. Task 5. DataRobot Demo Data Analysis.mp4 117.7 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/8. Task 6. CNNs Visualization.mp4 106.2 MB
2. Welcome to the Course!/4. Key AI Components.mp4 105.4 MB
12. Day 10 Google Vertex AI-Powered Regression Model Prediction/3. Task 2. Machine Learning Regression.mp4 104.9 MB
12. Day 10 Google Vertex AI-Powered Regression Model Prediction/6. Task 5. Machine Learning Regression Models Metrics.mp4 104.1 MB
9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/10. Task 8. Final Project.mp4 103.4 MB
4. Day 2 Deep Dive into AI technicalities/3. Task 2. Artificial Neural Networks (ANNs) Simplified.mp4 101.7 MB
7. Day 5 Develop an ML Model to predict used car prices using DataRobot/13. Task 11. Final Project Part B.mp4 101.4 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/11. Task 9. ResNet Visualization in TensorSpace.JS.mp4 100.8 MB
5. Day 3 Detect and classify face masks using Google Teachable Machines/10. Task 8. Final Project.mp4 96.9 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/7. Task 5. Convolutional Neural Networks (CNNs).mp4 94.5 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/3. Task 2. Artificial Neural Networks 101.mp4 92.9 MB
11. Day 9 Predict credit card default using AWS SageMaker Autopilot/14. Task 8. Final Project Solution - AWS AutoPilot Demo 3.mp4 92.3 MB

[磁力链接] 添加时间:2024-02-15 大小:7.1 GB 最近下载:2025-05-19 热度:1169

[Udemy] 10 Days of No Code Artificial Intelligence Bootcamp (10.2021)

2. Welcome to the Course!/1.1 10 Days of No Code AI - Course Package.zip 954.5 MB
3. Day 1 Develop an AI model to classify fashion elements using Google Teachable/6. Task 4. Model Training and Testing in Google Teachable Machines.mp4 145.1 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/6. Task 4. Final Project Part A.mp4 143.6 MB
9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/9. Task 7. Explainable AI.mp4 127.6 MB
8. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/11. Task 8. Model Assessment.mp4 127.0 MB
3. Day 1 Develop an AI model to classify fashion elements using Google Teachable/3. Task 2. AI Applications in Fashion.mp4 125.3 MB
12. Day 10 Google Vertex AI-Powered Regression Model Prediction/4. Task 3. Vertex AI Demo Part 1 Setup and Upload.mp4 121.5 MB
10. Day 8 Deploy an AI model to predict customer sentiment from Text/7. Task 5. DataRobot Demo Data Analysis.mp4 117.7 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/8. Task 6. CNNs Visualization.mp4 106.2 MB
2. Welcome to the Course!/4. Key AI Components.mp4 105.4 MB
12. Day 10 Google Vertex AI-Powered Regression Model Prediction/3. Task 2. Machine Learning Regression.mp4 104.9 MB
12. Day 10 Google Vertex AI-Powered Regression Model Prediction/6. Task 5. Machine Learning Regression Models Metrics.mp4 104.1 MB
9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/10. Task 8. Final Project.mp4 103.4 MB
4. Day 2 Deep Dive into AI technicalities/3. Task 2. Artificial Neural Networks (ANNs) Simplified.mp4 101.7 MB
7. Day 5 Develop an ML Model to predict used car prices using DataRobot/13. Task 11. Final Project Part B.mp4 101.4 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/11. Task 9. ResNet Visualization in TensorSpace.JS.mp4 100.8 MB
5. Day 3 Detect and classify face masks using Google Teachable Machines/10. Task 8. Final Project.mp4 96.9 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/7. Task 5. Convolutional Neural Networks (CNNs).mp4 94.5 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/3. Task 2. Artificial Neural Networks 101.mp4 92.9 MB
11. Day 9 Predict credit card default using AWS SageMaker Autopilot/14. Task 8. Final Project Solution - AWS AutoPilot Demo 3.mp4 92.3 MB

[磁力链接] 添加时间:2022-03-02 大小:7.1 GB 最近下载:2025-05-18 热度:4986

[ FreeCourseWeb.com ] Udemy - Tensorflow 2.0- Deep Learning and Artificial Intelligence.zip

[ FreeCourseWeb.com ] Udemy - Tensorflow 2.0- Deep Learning and Artificial Intelligence.zip 7.0 GB

[磁力链接] 添加时间:2021-05-23 大小:7.0 GB 最近下载:2025-05-06 热度:733

GetFreeCourses.Co-Udemy-10 Days of No Code Artificial Intelligence Bootcamp

2. Welcome to the Course!/1.1 10 Days of No Code AI - Course Package.zip 954.5 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/6. Task 4. Final Project Part A.mp4 143.6 MB
9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/9. Task 7. Explainable AI.mp4 127.6 MB
8. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/11. Task 8. Model Assessment.mp4 127.0 MB
3. Day 1 Develop an AI model to classify fashion elements using Google Teachable/3. Task 2. AI Applications in Fashion.mp4 125.3 MB
12. Day 10 Google Vertex AI-Powered Regression Model Prediction/4. Task 3. Vertex AI Demo Part 1 Setup and Upload.mp4 121.5 MB
10. Day 8 Deploy an AI model to predict customer sentiment from Text/7. Task 5. DataRobot Demo Data Analysis.mp4 117.7 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/8. Task 6. CNNs Visualization.mp4 106.2 MB
2. Welcome to the Course!/4. Key AI Components.mp4 105.4 MB
12. Day 10 Google Vertex AI-Powered Regression Model Prediction/3. Task 2. Machine Learning Regression.mp4 104.9 MB
12. Day 10 Google Vertex AI-Powered Regression Model Prediction/6. Task 5. Machine Learning Regression Models Metrics.mp4 104.1 MB
9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/10. Task 8. Final Project.mp4 103.4 MB
4. Day 2 Deep Dive into AI technicalities/3. Task 2. Artificial Neural Networks (ANNs) Simplified.mp4 101.7 MB
7. Day 5 Develop an ML Model to predict used car prices using DataRobot/13. Task 11. Final Project Part B.mp4 101.4 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/11. Task 9. ResNet Visualization in TensorSpace.JS.mp4 100.8 MB
5. Day 3 Detect and classify face masks using Google Teachable Machines/10. Task 8. Final Project.mp4 96.9 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/7. Task 5. Convolutional Neural Networks (CNNs).mp4 94.5 MB
6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/3. Task 2. Artificial Neural Networks 101.mp4 92.9 MB
11. Day 9 Predict credit card default using AWS SageMaker Autopilot/14. Task 8. Final Project Solution - AWS AutoPilot Demo 3.mp4 92.3 MB
5. Day 3 Detect and classify face masks using Google Teachable Machines/9. Task 7. Precision vs. Recall.mp4 92.2 MB

[磁力链接] 添加时间:2024-01-10 大小:6.9 GB 最近下载:2025-05-20 热度:1355

[FreeCourseSite.com] Udemy - Artificial Intelligence Masterclass

3. Step 2 - Convolutional Neural Network/8. Step 4 - Full Connection.mp4 203.7 MB
12. The Final Run/1. The Whole Implementation.mp4 200.9 MB
7. Step 6 - Recurrent Neural Network/6. LSTM Practical Intuition.mp4 196.5 MB
6. Step 5 - Implementing the CNN-VAE/7. Implementing the Training operations.mp4 196.1 MB
9. Step 8 - Implementing the MDN-RNN/9. Implementing the Training operations (Part 1).mp4 186.1 MB
9. Step 8 - Implementing the MDN-RNN/10. Implementing the Training operations (Part 2).mp4 170.8 MB
12. The Final Run/3. Installing the required packages.mp4 166.4 MB
1. Introduction/2. Introduction + Course Structure + Demo.mp4 164.4 MB
10. Step 9 - Reinforcement Learning/3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4 161.7 MB
11. Step 10 - Deep NeuroEvolution/4. Genetic Algorithms.mp4 156.4 MB
9. Step 8 - Implementing the MDN-RNN/7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.mp4 154.1 MB
11. Step 10 - Deep NeuroEvolution/5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4 151.1 MB
11. Step 10 - Deep NeuroEvolution/6. Parameter-Exploring Policy Gradients (PEPG).mp4 150.9 MB
1. Introduction/3. Your Three Best Resources.mp4 150.2 MB
3. Step 2 - Convolutional Neural Network/6. Step 2 - Pooling.mp4 147.0 MB
7. Step 6 - Recurrent Neural Network/5. LSTMs.mp4 143.2 MB
6. Step 5 - Implementing the CNN-VAE/4. Building the Encoder part of the VAE.mp4 140.1 MB
9. Step 8 - Implementing the MDN-RNN/5. Building the RNN - Setting up the Input, Target, and Output of the RNN.mp4 137.5 MB
9. Step 8 - Implementing the MDN-RNN/4. Building the RNN - Creating an LSTM cell with Dropout.mp4 133.3 MB
9. Step 8 - Implementing the MDN-RNN/6. Building the RNN - Getting the Deterministic Output of the RNN.mp4 131.6 MB

[磁力链接] 添加时间:2021-04-05 大小:6.6 GB 最近下载:2025-05-20 热度:3480

[Tutorialsplanet.NET] Udemy - Financial Engineering and Artificial Intelligence in Python

12. Setting Up Your Environment FAQ/1. Anaconda Environment Setup.mp4 189.6 MB
12. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
3. Time Series Analysis/18. ARIMA in Code (pt 1).mp4 141.8 MB
3. Time Series Analysis/28. ARIMA in Code (pt 3).mp4 117.4 MB
3. Time Series Analysis/27. ARIMA in Code (pt 2).mp4 115.2 MB
14. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
14. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
6. VIP The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4 110.3 MB
7. VIP Reinforcement Learning for Algorithmic Trading/5. Q-Learning for Algorithmic Trading in Code.mp4 108.0 MB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/5. HMM for Modeling Volatility Clustering in Code.mp4 106.9 MB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/4. Statistical Factor Models (Code).mp4 105.9 MB
4. Portfolio Optimization and CAPM/8. Visualizing Random Portfolios and Monte Carlo Simulation (pt 2).mp4 93.0 MB
14. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
2. Financial Basics/5. Understanding Financial Data (Code).mp4 79.2 MB
4. Portfolio Optimization and CAPM/7. Visualizing Random Portfolios and Monte Carlo Simulation (pt 1).mp4 77.0 MB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/3. Statistical Factor Models (Advanced).mp4 76.6 MB
13. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).mp4 75.3 MB
3. Time Series Analysis/3. Random Walk Hypothesis.mp4 74.9 MB
5. VIP Algorithmic Trading/6. Machine Learning-Based Trading Strategy in Code.mp4 72.9 MB
13. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.mp4 72.8 MB

[磁力链接] 添加时间:2022-03-20 大小:6.6 GB 最近下载:2025-05-19 热度:6187

[Tutorialsplanet.NET] Udemy - Financial Engineering and Artificial Intelligence in Python

12. Setting Up Your Environment FAQ/1. Anaconda Environment Setup.mp4 189.6 MB
12. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
3. Time Series Analysis/18. ARIMA in Code (pt 1).mp4 141.8 MB
3. Time Series Analysis/28. ARIMA in Code (pt 3).mp4 117.4 MB
3. Time Series Analysis/27. ARIMA in Code (pt 2).mp4 115.2 MB
14. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
14. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
6. VIP The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4 110.3 MB
7. VIP Reinforcement Learning for Algorithmic Trading/5. Q-Learning for Algorithmic Trading in Code.mp4 108.0 MB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/5. HMM for Modeling Volatility Clustering in Code.mp4 106.9 MB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/4. Statistical Factor Models (Code).mp4 105.9 MB
4. Portfolio Optimization and CAPM/8. Visualizing Random Portfolios and Monte Carlo Simulation (pt 2).mp4 93.0 MB
14. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
2. Financial Basics/5. Understanding Financial Data (Code).mp4 79.2 MB
4. Portfolio Optimization and CAPM/7. Visualizing Random Portfolios and Monte Carlo Simulation (pt 1).mp4 77.0 MB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/3. Statistical Factor Models (Advanced).mp4 76.6 MB
13. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).mp4 75.3 MB
3. Time Series Analysis/3. Random Walk Hypothesis.mp4 74.9 MB
5. VIP Algorithmic Trading/6. Machine Learning-Based Trading Strategy in Code.mp4 72.9 MB
13. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.mp4 72.8 MB

[磁力链接] 添加时间:2024-03-04 大小:6.6 GB 最近下载:2025-05-19 热度:1441

[FreeTutorials.Us] Udemy - Artificial Intelligence Masterclass

12. The Final Run/1. The Whole Implementation.mp4 286.9 MB
1. Introduction/2. Introduction + Course Structure + Demo.mp4 204.8 MB
3. Step 2 - Convolutional Neural Network/8. Step 4 - Full Connection.mp4 203.7 MB
7. Step 6 - Recurrent Neural Network/6. LSTM Practical Intuition.mp4 196.5 MB
6. Step 5 - Implementing the CNN-VAE/7. Implementing the Training operations.mp4 196.1 MB
9. Step 8 - Implementing the MDN-RNN/9. Implementing the Training operations (Part 1).mp4 186.1 MB
9. Step 8 - Implementing the MDN-RNN/10. Implementing the Training operations (Part 2).mp4 170.8 MB
12. The Final Run/3. Installing the required packages.mp4 166.4 MB
10. Step 9 - Reinforcement Learning/3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4 161.7 MB
11. Step 10 - Deep NeuroEvolution/4. Genetic Algorithms.mp4 156.4 MB
9. Step 8 - Implementing the MDN-RNN/7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.mp4 154.1 MB
11. Step 10 - Deep NeuroEvolution/5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4 151.1 MB
11. Step 10 - Deep NeuroEvolution/6. Parameter-Exploring Policy Gradients (PEPG).mp4 150.9 MB
3. Step 2 - Convolutional Neural Network/6. Step 2 - Pooling.mp4 147.0 MB
7. Step 6 - Recurrent Neural Network/5. LSTMs.mp4 143.2 MB
1. Introduction/4. Your Three Best Resources.mp4 141.0 MB
6. Step 5 - Implementing the CNN-VAE/4. Building the Encoder part of the VAE.mp4 140.1 MB
9. Step 8 - Implementing the MDN-RNN/5. Building the RNN - Setting up the Input, Target, and Output of the RNN.mp4 137.5 MB
9. Step 8 - Implementing the MDN-RNN/4. Building the RNN - Creating an LSTM cell with Dropout.mp4 133.3 MB
9. Step 8 - Implementing the MDN-RNN/6. Building the RNN - Getting the Deterministic Output of the RNN.mp4 131.6 MB

[磁力链接] 添加时间:2021-05-02 大小:6.6 GB 最近下载:2025-05-19 热度:2740

[Udemy] Financial Engineering and Artificial Intelligence in Python (2020) [En]

11. Setting Up Your Environment FAQ/1. Windows-Focused Environment Setup 2018.mp4 189.4 MB
11. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
3. Time Series Analysis/18. ARIMA in Code (pt 1).mp4 142.0 MB
3. Time Series Analysis/28. ARIMA in Code (pt 3).mp4 117.4 MB
3. Time Series Analysis/27. ARIMA in Code (pt 2).mp4 115.1 MB
13. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
13. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.8 MB
6. VIP The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4 110.2 MB
7. VIP Reinforcement Learning for Algorithmic Trading/5. Q-Learning for Algorithmic Trading in Code.mp4 108.1 MB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/5. HMM for Modeling Volatility Clustering in Code.mp4 106.9 MB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/4. Statistical Factor Models (Code).mp4 106.0 MB
4. Portfolio Optimization and CAPM/8. Visualizing Random Portfolios and Monte Carlo Simulation (pt 2).mp4 93.0 MB
13. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
2. Financial Basics/5. Understanding Financial Data (Code).mp4 79.3 MB
4. Portfolio Optimization and CAPM/7. Visualizing Random Portfolios and Monte Carlo Simulation (pt 1).mp4 77.2 MB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/3. Statistical Factor Models (Advanced).mp4 76.7 MB
12. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).mp4 75.4 MB
3. Time Series Analysis/3. Random Walk Hypothesis.mp4 74.9 MB
5. VIP Algorithmic Trading/6. Machine Learning-Based Trading Strategy in Code.mp4 72.9 MB
12. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.mp4 72.9 MB

[磁力链接] 添加时间:2021-04-14 大小:6.5 GB 最近下载:2025-05-20 热度:1958