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种子名称： [GigaCourse.Com] Udemy - 10 Days of No Code Artificial Intelligence Bootcamp
文件类型： 视频
文件数目： 111个文件
文件大小： 5.71 GB
收录时间： 2022-1-5 07:29
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最近下载： 2024-12-24 20:23

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

02. Welcome to the Course!/01. Main Course Intro.mp434.35MB

02. Welcome to the Course!/02. Course Introduction and Best Practices.mp465.79MB

02. Welcome to the Course!/03. AI Superpowers.mp467.99MB

02. Welcome to the Course!/04. Key AI Components.mp4100.54MB

02. Welcome to the Course!/05. Course Outline.mp437.63MB

03. Day 1 Develop an AI model to classify fashion elements using Google Teachable/01. Introduction to Day 1.mp426MB

03. Day 1 Develop an AI model to classify fashion elements using Google Teachable/02. Task 1. Project Card and Demo.mp416.49MB

03. Day 1 Develop an AI model to classify fashion elements using Google Teachable/03. Task 2. AI Applications in Fashion.mp4119.45MB

03. Day 1 Develop an AI model to classify fashion elements using Google Teachable/05. Task 3. Data Exploration.mp437.07MB

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.mp4138.34MB

03. Day 1 Develop an AI model to classify fashion elements using Google Teachable/07. Task 5. Export and Deploy Model in Google Teachable Machines.mp447.44MB

03. Day 1 Develop an AI model to classify fashion elements using Google Teachable/08. Task 6. Final Project.mp418.85MB

03. Day 1 Develop an AI model to classify fashion elements using Google Teachable/09. End of Day 1.mp49.69MB

04. Day 2 Deep Dive into AI technicalities/01. Introduction to Day 2.mp425.26MB

04. Day 2 Deep Dive into AI technicalities/02. Task 1. Project Overview.mp429.17MB

04. Day 2 Deep Dive into AI technicalities/03. Task 2. Artificial Neural Networks (ANNs) Simplified.mp497.03MB

04. Day 2 Deep Dive into AI technicalities/05. Task 3. AI Training vs. Testing Process.mp422.08MB

04. Day 2 Deep Dive into AI technicalities/06. Task 4. AI Lingo.mp475.58MB

04. Day 2 Deep Dive into AI technicalities/07. Task 5. Confusion Matrix.mp458.78MB

04. Day 2 Deep Dive into AI technicalities/08. Task 6. Final Project Part A.mp485.85MB

04. Day 2 Deep Dive into AI technicalities/09. Task 7. Final Project Part B.mp474.13MB

04. Day 2 Deep Dive into AI technicalities/10. End of Day 2.mp411.19MB

05. Day 3 Detect and classify face masks using Google Teachable Machines/01. Introduction Day 3.mp426.53MB

05. Day 3 Detect and classify face masks using Google Teachable Machines/02. Task 1. Project Card and Demo.mp453.8MB

05. Day 3 Detect and classify face masks using Google Teachable Machines/03. Task 2. Business Case.mp453.04MB

05. Day 3 Detect and classify face masks using Google Teachable Machines/05. Task 3. Google Teachable Machines Demo Data Collection.mp467.06MB

05. Day 3 Detect and classify face masks using Google Teachable Machines/06. Task 4. Google Teachable Machines Demo Model Training.mp49.18MB

05. Day 3 Detect and classify face masks using Google Teachable Machines/07. Task 5. Google Teachable Machines Demo Model EvaluationDeployment.mp459.24MB

05. Day 3 Detect and classify face masks using Google Teachable Machines/08. Task 6. Classifier Models KPIs.mp466.14MB

05. Day 3 Detect and classify face masks using Google Teachable Machines/09. Task 7. Precision vs. Recall.mp487.95MB

05. Day 3 Detect and classify face masks using Google Teachable Machines/10. Task 8. Final Project.mp492.39MB

05. Day 3 Detect and classify face masks using Google Teachable Machines/11. End of Day 3.mp49.18MB

06. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/01. Introduction Day 4.mp421.07MB

06. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/02. Task 1. Project Card and Demo.mp447.6MB

06. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/03. Task 2. Artificial Neural Networks 101.mp488.61MB

06. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/05. Task 3. Visualize ANNs in GTP.mp428.99MB

06. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/06. Task 4. Final Project Part A.mp4136.93MB

06. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/07. Task 5. Convolutional Neural Networks (CNNs).mp490.15MB

06. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/08. Task 6. CNNs Visualization.mp4101.24MB

06. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/09. Task 7. LeNet Architecture Overview.mp438.37MB

06. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/10. Task 8. 3D Visualization in Tensorspace.JS.mp464.83MB

06. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/11. Task 9. ResNet Visualization in TensorSpace.JS.mp496.11MB

06. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/12. Task 10. Final Project.mp451.84MB

06. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/13. End of Day 4.mp49.06MB

07. Day 5 Develop an ML Model to predict used car prices using DataRobot/01. Introduction Day 5.mp425.07MB

07. Day 5 Develop an ML Model to predict used car prices using DataRobot/02. Task 1. Project Card and Demo.mp447.72MB

07. Day 5 Develop an ML Model to predict used car prices using DataRobot/03. Task 2. Success Stories and Business Case.mp453.89MB

07. Day 5 Develop an ML Model to predict used car prices using DataRobot/05. Task 3. Data Overview.mp47.61MB

07. Day 5 Develop an ML Model to predict used car prices using DataRobot/06. Task 4. DataRobot Demo Data Upload.mp448.64MB

07. Day 5 Develop an ML Model to predict used car prices using DataRobot/07. Task 5. DataRobot Demo Exploratory Data Analysis.mp460.82MB

07. Day 5 Develop an ML Model to predict used car prices using DataRobot/08. Task 6. DataRobot Demo Model Training.mp443.42MB

07. Day 5 Develop an ML Model to predict used car prices using DataRobot/09. Task 7. DataRobot Demo Model Assessment.mp468.42MB

07. Day 5 Develop an ML Model to predict used car prices using DataRobot/10. Task 8. DataRobot Demo Model Deployment.mp439.26MB

07. Day 5 Develop an ML Model to predict used car prices using DataRobot/11. Task 9. Technicalities.mp465.56MB

07. Day 5 Develop an ML Model to predict used car prices using DataRobot/12. Task 10. Final Project Part A.mp436.24MB

07. Day 5 Develop an ML Model to predict used car prices using DataRobot/13. Task 11. Final Project Part B.mp496.73MB

07. Day 5 Develop an ML Model to predict used car prices using DataRobot/14. End of Day 5.mp47.09MB

08. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/01. Introduction Day 6.mp430.61MB

08. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/02. Task 1. Project Card and Demo.mp431.1MB

08. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/03. Task 2. Success Stories and Business Case.mp445.5MB

08. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/06. Task 3. Data Overview.mp432.75MB

08. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/07. Task 4. DataRobot Demo Data Upload.mp434.73MB

08. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/08. Task 5. DataRobot Demo Data Exploration.mp452.82MB

08. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/09. Task 6. DataRobot Demo Model Training.mp442.5MB

08. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/10. Task 7. Classification Models KPIs.mp427.81MB

08. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/11. Task 8. Model Assessment.mp4121.15MB

08. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/12. Task 9. Final Project.mp436.75MB

08. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/13. End of Day 6.mp44.31MB

09. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/01. Introduction Day 7.mp440.87MB

09. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/02. Task 1. Project Card and Demo.mp452.99MB

09. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/03. Task 2. Business Case and Success Stories.mp451.37MB

09. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/05. Task 3. Data Exploration.mp45.7MB

09. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/06. Task 4. DataRobot Demo Data Upload.mp444.73MB

09. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/07. Task 5. DataRobot Demo Model Training.mp482.55MB

09. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/08. Task 6. DataRobot Demo Deploy Model.mp437.79MB

09. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/09. Task 7. Explainable AI.mp4121.64MB

09. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/10. Task 8. Final Project.mp498.66MB

09. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/11. End of Day 7.mp410.16MB

10. Day 8 Deploy an AI model to predict customer sentiment from Text/01. Introduction to Day 8.mp425.74MB

10. Day 8 Deploy an AI model to predict customer sentiment from Text/02. Task 1. Project Card and Demo.mp457.92MB

10. Day 8 Deploy an AI model to predict customer sentiment from Text/03. Task 2. Business Case, Reading Materials and Quiz.mp469.04MB

10. Day 8 Deploy an AI model to predict customer sentiment from Text/05. Task 3. Data Exploration.mp438.49MB

10. Day 8 Deploy an AI model to predict customer sentiment from Text/06. Task 4. DataRobot Demo Data Upload.mp444.79MB

10. Day 8 Deploy an AI model to predict customer sentiment from Text/07. Task 5. DataRobot Demo Data Analysis.mp4112.26MB

10. Day 8 Deploy an AI model to predict customer sentiment from Text/08. Task 6. DataRobot Demo Model Training.mp427.42MB

10. Day 8 Deploy an AI model to predict customer sentiment from Text/09. Task 7. DataRobot Demo Model Deployment.mp435.6MB

10. Day 8 Deploy an AI model to predict customer sentiment from Text/10. Task 8. Final Project Part A.mp438.93MB

10. Day 8 Deploy an AI model to predict customer sentiment from Text/11. Task 9. Final Project Part B.mp452.55MB

10. Day 8 Deploy an AI model to predict customer sentiment from Text/12. End of Day 8.mp47.86MB

11. Day 9 Predict credit card default using AWS SageMaker Autopilot/01. Introduction Day 9.mp434.32MB

11. Day 9 Predict credit card default using AWS SageMaker Autopilot/02. Task 1. Project Card.mp418.24MB

11. Day 9 Predict credit card default using AWS SageMaker Autopilot/03. Task 2. AI Applications in Business.mp459MB

11. Day 9 Predict credit card default using AWS SageMaker Autopilot/05. Task 3. AWS 101.mp420.76MB

11. Day 9 Predict credit card default using AWS SageMaker Autopilot/06. Task 4. AWS S3 EC2 and SageMaker.mp472.29MB

11. Day 9 Predict credit card default using AWS SageMaker Autopilot/07. Task 5. AWS SageMaker Autopilot Demo 1.mp487.63MB

11. Day 9 Predict credit card default using AWS SageMaker Autopilot/08. Task 5. AWS SageMaker Autopilot Demo 2.mp443.51MB

11. Day 9 Predict credit card default using AWS SageMaker Autopilot/09. Task 5. AWS SageMaker Autopilot Demo 3.mp462.14MB

11. Day 9 Predict credit card default using AWS SageMaker Autopilot/10. Task 6. Delete Endpoint.mp410.51MB

11. Day 9 Predict credit card default using AWS SageMaker Autopilot/11. Task 7. Final Project Overview.mp424.82MB

11. Day 9 Predict credit card default using AWS SageMaker Autopilot/12. Task 8. Final Project Solution - AWS AutoPilot Demo 1.mp472.76MB

11. Day 9 Predict credit card default using AWS SageMaker Autopilot/13. Task 8. Final Project Solution - AWS AutoPilot Demo 2.mp450.68MB

11. Day 9 Predict credit card default using AWS SageMaker Autopilot/14. Task 8. Final Project Solution - AWS AutoPilot Demo 3.mp488.06MB

11. Day 9 Predict credit card default using AWS SageMaker Autopilot/15. End of Day 9.mp44.87MB

12. Day 10 Google Vertex AI-Powered Regression Model Prediction/01. Task 1. The Rise of Machine Learning in Higher Education.mp480.32MB

12. Day 10 Google Vertex AI-Powered Regression Model Prediction/03. Task 2. Machine Learning Regression.mp4100.07MB

12. Day 10 Google Vertex AI-Powered Regression Model Prediction/04. Task 3. Vertex AI Demo Part 1 Setup and Upload.mp4115.88MB

12. Day 10 Google Vertex AI-Powered Regression Model Prediction/05. Task 4. Vertex AI Demo Part 2 Model Training.mp485.6MB

12. Day 10 Google Vertex AI-Powered Regression Model Prediction/06. Task 5. Machine Learning Regression Models Metrics.mp499.26MB

12. Day 10 Google Vertex AI-Powered Regression Model Prediction/07. Task 6. Vertex AI Demo Part 3 Deploy Model.mp432.79MB

12. Day 10 Google Vertex AI-Powered Regression Model Prediction/08. Task 7. Recap and Concluding Remarks.mp447.18MB

12. Day 10 Google Vertex AI-Powered Regression Model Prediction/09. End of Day 10.mp416.3MB