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[Tutorialsplanet.NET] Udemy -Projects in Machine Learning Beginner To Professional

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2019-11-25 11:10 2024-11-7 16:34 176 4.23 GB 57
磁力链接
magnet:?xt=urn:btih:89c9a8c6f25a0a3da9ad16d71d4c84a524a31924
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjg5YzlhOGM2ZjI1YTBhM2RhOWFkMTZkNzFkNGM4NGE1MjRhMzE5MjRaWg==
二维码链接
[Tutorialsplanet.NET] Udemy -Projects in Machine Learning Beginner To Professional的二维码
种子下载(838888不存储任何种子文件)
种子下载线路1(迅雷)--推荐
种子下载线路2(比特彗星)
种子下载线路3(torcache)
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相关链接

Tutorialsplanet NET Udemy -Projects in Machine Learning Beginner To Professional

文件列表
  1. 1. An Introduction to Machine Learning/1. Introduction.mp41.71MB
  2. 1. An Introduction to Machine Learning/2. What is Machine Learning.mp429.19MB
  3. 1. An Introduction to Machine Learning/3. Types and Applications of ML.mp453.05MB
  4. 1. An Introduction to Machine Learning/4. AI vs ML.mp422.88MB
  5. 1. An Introduction to Machine Learning/5. Essential Math for ML and AI.mp435.79MB
  6. 10. Project 5 Object Recognition/1. Intro.mp47.21MB
  7. 10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4180.54MB
  8. 10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4205.6MB
  9. 10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4170.79MB
  10. 11. Project 6 Image Super Resolution/1. Intro.mp49.56MB
  11. 11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4258.79MB
  12. 11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4357.57MB
  13. 12. Project 7 Text Classification/1. Intro.mp45MB
  14. 12. Project 7 Text Classification/2. Feature Engineering.mp4375.39MB
  15. 12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4204.23MB
  16. 13. Project 8 - KMeans/1. Intro.mp411.21MB
  17. 13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4230.86MB
  18. 13. Project 8 - KMeans/3. Evaluation and Visualization.mp4209.48MB
  19. 14. Project 9 PCA/1. Intro.mp43.69MB
  20. 14. Project 9 PCA/2. The Elbow Method.mp4114.2MB
  21. 14. Project 9 PCA/3. PCA Compression and Visualization.mp4185MB
  22. 2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp425.47MB
  23. 2. Supervised Learning - part 1/2. Linear Methods for Classification.mp434.14MB
  24. 2. Supervised Learning - part 1/3. Linear Methods for Regression.mp427.01MB
  25. 2. Supervised Learning - part 1/4. Support Vector Machines.mp435.79MB
  26. 2. Supervised Learning - part 1/5. Basis Expansions.mp421.32MB
  27. 2. Supervised Learning - part 1/6. Model Selection Procedures.mp426.93MB
  28. 2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.mp431.01MB
  29. 2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp436.22MB
  30. 3. Unsupervised Learning/1. Introduction to Unsupervised Learning.mp431.78MB
  31. 3. Unsupervised Learning/2. Association Rules.mp428.5MB
  32. 3. Unsupervised Learning/3. Cluster Analysis.mp427.95MB
  33. 3. Unsupervised Learning/4. Reinforcement Learning.mp420.96MB
  34. 3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.mp421.95MB
  35. 4. Neural Networks/1. Introduction to Neural Networks.mp422.71MB
  36. 4. Neural Networks/2. The Perceptron.mp417.12MB
  37. 4. Neural Networks/3. The Backpropagation Algorithm.mp422.64MB
  38. 4. Neural Networks/4. Training Procedures.mp424.04MB
  39. 4. Neural Networks/5. Convolutional Neural Networks.mp432.04MB
  40. 5. Real World Machine Learning/1. Introduction to Real World ML.mp425.58MB
  41. 5. Real World Machine Learning/2. Choosing an Algorithm.mp419.14MB
  42. 5. Real World Machine Learning/3. Design and Analysis of ML Experiments.mp419.79MB
  43. 5. Real World Machine Learning/4. Common Software for ML.mp431.33MB
  44. 6. Warmup Project/1. Setting up OpenAI Gym.mp430.12MB
  45. 6. Warmup Project/2. Building and Training the Network Part 1.mp436.02MB
  46. 6. Warmup Project/3. Building and Training the Network Part 2.mp463.34MB
  47. 7. Project 1Board Game Review Prediction/1. Intro.mp47.55MB
  48. 7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.mp417.73MB
  49. 7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.mp435.5MB
  50. 7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.mp435.82MB
  51. 8. Project 2 Credit Card Fraud Detection/1. Intro.mp47.57MB
  52. 8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.mp437.57MB
  53. 8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.mp448.91MB
  54. 9. Project 4 Intro to Natural Language Processing/1. Intro.mp416.95MB
  55. 9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.mp4198.34MB
  56. 9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.mp4323.06MB
  57. 9. Project 4 Intro to Natural Language Processing/4. Text Classification.mp4216.93MB
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