本站已收录 番号和无损神作磁力链接/BT种子 

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

种子简介

种子名称: GetFreeCourses.Co-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: 5.52 GB
收录时间: 2022-7-10 02:18
已经下载: 3
资源热度: 150
最近下载: 2024-5-27 18:05

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:26d13019aa97745e46f06a6e199ca5a7cf57f5bb&dn=GetFreeCourses.Co-Udemy-10 Days of No Code Artificial Intelligence Bootcamp 复制链接到迅雷、QQ旋风进行下载,或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

GetFreeCourses.Co-Udemy-10 Days of No Code Artificial Intelligence Bootcamp.torrent
  • 10. Day 8 Deploy an AI model to predict customer sentiment from Text/1. Introduction to Day 8.mp425.74MB
  • 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
  • 10. Day 8 Deploy an AI model to predict customer sentiment from Text/2. Task 1. Project Card and Demo.mp457.92MB
  • 10. Day 8 Deploy an AI model to predict customer sentiment from Text/3. Task 2. Business Case, Reading Materials and Quiz.mp469.04MB
  • 10. Day 8 Deploy an AI model to predict customer sentiment from Text/5. Task 3. Data Exploration.mp438.49MB
  • 10. Day 8 Deploy an AI model to predict customer sentiment from Text/6. Task 4. DataRobot Demo Data Upload.mp444.79MB
  • 10. Day 8 Deploy an AI model to predict customer sentiment from Text/7. Task 5. DataRobot Demo Data Analysis.mp4112.26MB
  • 10. Day 8 Deploy an AI model to predict customer sentiment from Text/8. Task 6. DataRobot Demo Model Training.mp427.42MB
  • 10. Day 8 Deploy an AI model to predict customer sentiment from Text/9. Task 7. DataRobot Demo Model Deployment.mp435.6MB
  • 11. Day 9 Predict credit card default using AWS SageMaker Autopilot/1. Introduction Day 9.mp434.32MB
  • 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
  • 11. Day 9 Predict credit card default using AWS SageMaker Autopilot/2. Task 1. Project Card.mp418.24MB
  • 11. Day 9 Predict credit card default using AWS SageMaker Autopilot/3. Task 2. AI Applications in Business.mp459MB
  • 11. Day 9 Predict credit card default using AWS SageMaker Autopilot/5. Task 3. AWS 101.mp420.76MB
  • 11. Day 9 Predict credit card default using AWS SageMaker Autopilot/6. Task 4. AWS S3 EC2 and SageMaker.mp472.29MB
  • 11. Day 9 Predict credit card default using AWS SageMaker Autopilot/7. Task 5. AWS SageMaker Autopilot Demo 1.mp487.63MB
  • 11. Day 9 Predict credit card default using AWS SageMaker Autopilot/8. Task 5. AWS SageMaker Autopilot Demo 2.mp443.51MB
  • 11. Day 9 Predict credit card default using AWS SageMaker Autopilot/9. Task 5. AWS SageMaker Autopilot Demo 3.mp462.14MB
  • 12. Day 10 Google Vertex AI-Powered Regression Model Prediction/1. Task 1. The Rise of Machine Learning in Higher Education.mp480.32MB
  • 12. Day 10 Google Vertex AI-Powered Regression Model Prediction/3. Task 2. Machine Learning Regression.mp4100.07MB
  • 12. Day 10 Google Vertex AI-Powered Regression Model Prediction/4. Task 3. Vertex AI Demo Part 1 Setup and Upload.mp4115.88MB
  • 12. Day 10 Google Vertex AI-Powered Regression Model Prediction/5. Task 4. Vertex AI Demo Part 2 Model Training.mp485.6MB
  • 12. Day 10 Google Vertex AI-Powered Regression Model Prediction/6. Task 5. Machine Learning Regression Models Metrics.mp499.26MB
  • 12. Day 10 Google Vertex AI-Powered Regression Model Prediction/7. Task 6. Vertex AI Demo Part 3 Deploy Model.mp432.79MB
  • 12. Day 10 Google Vertex AI-Powered Regression Model Prediction/8. Task 7. Recap and Concluding Remarks.mp447.18MB
  • 12. Day 10 Google Vertex AI-Powered Regression Model Prediction/9. End of Day 10.mp416.3MB
  • 2. Welcome to the Course!/1. Main Course Intro.mp434.35MB
  • 2. Welcome to the Course!/2. Course Introduction and Best Practices.mp465.79MB
  • 2. Welcome to the Course!/3. AI Superpowers.mp467.99MB
  • 2. Welcome to the Course!/4. Key AI Components.mp4100.54MB
  • 2. Welcome to the Course!/5. Course Outline.mp437.63MB
  • 3. Day 1 Develop an AI model to classify fashion elements using Google Teachable/1. Introduction to Day 1.mp426MB
  • 3. Day 1 Develop an AI model to classify fashion elements using Google Teachable/2. Task 1. Project Card and Demo.mp416.49MB
  • 3. Day 1 Develop an AI model to classify fashion elements using Google Teachable/3. Task 2. AI Applications in Fashion.mp4119.45MB
  • 3. Day 1 Develop an AI model to classify fashion elements using Google Teachable/5. Task 3. Data Exploration.mp437.07MB
  • 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.mp40B
  • 3. Day 1 Develop an AI model to classify fashion elements using Google Teachable/7. Task 5. Export and Deploy Model in Google Teachable Machines.mp40B
  • 3. Day 1 Develop an AI model to classify fashion elements using Google Teachable/8. Task 6. Final Project.mp418.85MB
  • 3. Day 1 Develop an AI model to classify fashion elements using Google Teachable/9. End of Day 1.mp49.69MB
  • 4. Day 2 Deep Dive into AI technicalities/1. Introduction to Day 2.mp425.26MB
  • 4. Day 2 Deep Dive into AI technicalities/10. End of Day 2.mp411.19MB
  • 4. Day 2 Deep Dive into AI technicalities/2. Task 1. Project Overview.mp429.17MB
  • 4. Day 2 Deep Dive into AI technicalities/3. Task 2. Artificial Neural Networks (ANNs) Simplified.mp497.03MB
  • 4. Day 2 Deep Dive into AI technicalities/5. Task 3. AI Training vs. Testing Process.mp422.08MB
  • 4. Day 2 Deep Dive into AI technicalities/6. Task 4. AI Lingo.mp475.58MB
  • 4. Day 2 Deep Dive into AI technicalities/7. Task 5. Confusion Matrix.mp458.78MB
  • 4. Day 2 Deep Dive into AI technicalities/8. Task 6. Final Project Part A.mp485.85MB
  • 4. Day 2 Deep Dive into AI technicalities/9. Task 7. Final Project Part B.mp474.13MB
  • 5. Day 3 Detect and classify face masks using Google Teachable Machines/1. Introduction Day 3.mp426.53MB
  • 5. Day 3 Detect and classify face masks using Google Teachable Machines/10. Task 8. Final Project.mp492.39MB
  • 5. Day 3 Detect and classify face masks using Google Teachable Machines/11. End of Day 3.mp49.18MB
  • 5. Day 3 Detect and classify face masks using Google Teachable Machines/2. Task 1. Project Card and Demo.mp453.8MB
  • 5. Day 3 Detect and classify face masks using Google Teachable Machines/3. Task 2. Business Case.mp453.04MB
  • 5. Day 3 Detect and classify face masks using Google Teachable Machines/5. Task 3. Google Teachable Machines Demo Data Collection.mp467.06MB
  • 5. Day 3 Detect and classify face masks using Google Teachable Machines/6. Task 4. Google Teachable Machines Demo Model Training.mp49.18MB
  • 5. Day 3 Detect and classify face masks using Google Teachable Machines/7. Task 5. Google Teachable Machines Demo Model EvaluationDeployment.mp459.24MB
  • 5. Day 3 Detect and classify face masks using Google Teachable Machines/8. Task 6. Classifier Models KPIs.mp466.14MB
  • 5. Day 3 Detect and classify face masks using Google Teachable Machines/9. Task 7. Precision vs. Recall.mp487.95MB
  • 6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/1. Introduction Day 4.mp421.07MB
  • 6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/10. Task 8. 3D Visualization in Tensorspace.JS.mp464.83MB
  • 6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/11. Task 9. ResNet Visualization in TensorSpace.JS.mp496.11MB
  • 6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/12. Task 10. Final Project.mp451.84MB
  • 6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/13. End of Day 4.mp49.06MB
  • 6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/2. Task 1. Project Card and Demo.mp447.6MB
  • 6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/3. Task 2. Artificial Neural Networks 101.mp488.61MB
  • 6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/5. Task 3. Visualize ANNs in GTP.mp428.99MB
  • 6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/6. Task 4. Final Project Part A.mp4136.93MB
  • 6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/7. Task 5. Convolutional Neural Networks (CNNs).mp490.15MB
  • 6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/8. Task 6. CNNs Visualization.mp4101.24MB
  • 6. Day 4 Visualize Artificial Intelligence Models Using Tensorspace.JS and GTP/9. Task 7. LeNet Architecture Overview.mp438.37MB
  • 7. Day 5 Develop an ML Model to predict used car prices using DataRobot/1. Introduction Day 5.mp425.07MB
  • 7. Day 5 Develop an ML Model to predict used car prices using DataRobot/10. Task 8. DataRobot Demo Model Deployment.mp439.26MB
  • 7. Day 5 Develop an ML Model to predict used car prices using DataRobot/11. Task 9. Technicalities.mp465.56MB
  • 7. Day 5 Develop an ML Model to predict used car prices using DataRobot/12. Task 10. Final Project Part A.mp436.24MB
  • 7. Day 5 Develop an ML Model to predict used car prices using DataRobot/13. Task 11. Final Project Part B.mp496.73MB
  • 7. Day 5 Develop an ML Model to predict used car prices using DataRobot/14. End of Day 5.mp47.09MB
  • 7. Day 5 Develop an ML Model to predict used car prices using DataRobot/2. Task 1. Project Card and Demo.mp447.72MB
  • 7. Day 5 Develop an ML Model to predict used car prices using DataRobot/3. Task 2. Success Stories and Business Case.mp453.89MB
  • 7. Day 5 Develop an ML Model to predict used car prices using DataRobot/5. Task 3. Data Overview.mp47.61MB
  • 7. Day 5 Develop an ML Model to predict used car prices using DataRobot/6. Task 4. DataRobot Demo Data Upload.mp448.64MB
  • 7. Day 5 Develop an ML Model to predict used car prices using DataRobot/7. Task 5. DataRobot Demo Exploratory Data Analysis.mp460.82MB
  • 7. Day 5 Develop an ML Model to predict used car prices using DataRobot/8. Task 6. DataRobot Demo Model Training.mp443.42MB
  • 7. Day 5 Develop an ML Model to predict used car prices using DataRobot/9. Task 7. DataRobot Demo Model Assessment.mp468.42MB
  • 8. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/1. Introduction Day 6.mp430.61MB
  • 8. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/10. Task 7. Classification Models KPIs.mp427.81MB
  • 8. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/11. Task 8. Model Assessment.mp4121.15MB
  • 8. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/12. Task 9. Final Project.mp436.75MB
  • 8. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/13. End of Day 6.mp44.31MB
  • 8. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/2. Task 1. Project Card and Demo.mp431.1MB
  • 8. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/3. Task 2. Success Stories and Business Case.mp445.5MB
  • 8. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/6. Task 3. Data Overview.mp432.75MB
  • 8. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/7. Task 4. DataRobot Demo Data Upload.mp434.73MB
  • 8. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/8. Task 5. DataRobot Demo Data Exploration.mp452.82MB
  • 8. Day 6 Develop an AI model to predict employee’s attrition using DataRobot/9. Task 6. DataRobot Demo Model Training.mp442.5MB
  • 9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/1. Introduction Day 7.mp440.87MB
  • 9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/10. Task 8. Final Project.mp498.66MB
  • 9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/11. End of Day 7.mp410.16MB
  • 9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/2. Task 1. Project Card and Demo.mp452.99MB
  • 9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/3. Task 2. Business Case and Success Stories.mp451.37MB
  • 9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/5. Task 3. Data Exploration.mp45.7MB
  • 9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/6. Task 4. DataRobot Demo Data Upload.mp444.73MB
  • 9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/7. Task 5. DataRobot Demo Model Training.mp482.55MB
  • 9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/8. Task 6. DataRobot Demo Deploy Model.mp437.79MB
  • 9. Day 7 Develop an AI model to detect Diabetic Retinopathy Using DataRobot/9. Task 7. Explainable AI.mp4121.64MB