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种子名称： [FreeTutorials.Eu] [UDEMY] Projects in Machine Learning Beginner To Professional - FTU]
文件类型： 视频
文件数目： 57个文件
文件大小： 4.23 GB
收录时间： 2018-12-15 04:31
已经下载： 3次
资源热度： 199
最近下载： 2024-12-24 21:05

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[FreeTutorials.Eu] [UDEMY] Projects in Machine Learning Beginner To Professional - FTU].torrent

10. Project 5 Object Recognition/1. Intro.mp47.21MB

10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4180.54MB

10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4205.6MB

10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4170.79MB

11. Project 6 Image Super Resolution/1. Intro.mp49.56MB

11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4258.79MB

11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4357.57MB

12. Project 7 Text Classification/1. Intro.mp45MB

12. Project 7 Text Classification/2. Feature Engineering.mp4375.39MB

12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4204.23MB

13. Project 8 - KMeans/1. Intro.mp411.21MB

13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4230.86MB

13. Project 8 - KMeans/3. Evaluation and Visualization.mp4209.48MB

14. Project 9 PCA/1. Intro.mp43.69MB

14. Project 9 PCA/2. The Elbow Method.mp4114.2MB

14. Project 9 PCA/3. PCA Compression and Visualization.mp4185MB

1. An Introduction to Machine Learning/1. Introduction.mp41.71MB

1. An Introduction to Machine Learning/2. What is Machine Learning.mp429.19MB

1. An Introduction to Machine Learning/3. Types and Applications of ML.mp453.05MB

1. An Introduction to Machine Learning/4. AI vs ML.mp422.88MB

1. An Introduction to Machine Learning/5. Essential Math for ML and AI.mp435.79MB

2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp425.47MB

2. Supervised Learning - part 1/2. Linear Methods for Classification.mp434.14MB

2. Supervised Learning - part 1/3. Linear Methods for Regression.mp427.01MB

2. Supervised Learning - part 1/4. Support Vector Machines.mp435.79MB

2. Supervised Learning - part 1/5. Basis Expansions.mp421.32MB

2. Supervised Learning - part 1/6. Model Selection Procedures.mp426.93MB

2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.mp431.01MB

2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp436.22MB

3. Unsupervised Learning/1. Introduction to Unsupervised Learning.mp431.78MB

3. Unsupervised Learning/2. Association Rules.mp428.5MB

3. Unsupervised Learning/3. Cluster Analysis.mp427.95MB

3. Unsupervised Learning/4. Reinforcement Learning.mp420.96MB

3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.mp421.95MB

4. Neural Networks/1. Introduction to Neural Networks.mp422.71MB

4. Neural Networks/2. The Perceptron.mp417.12MB

4. Neural Networks/3. The Backpropagation Algorithm.mp422.64MB

4. Neural Networks/4. Training Procedures.mp424.04MB

4. Neural Networks/5. Convolutional Neural Networks.mp432.04MB

5. Real World Machine Learning/1. Introduction to Real World ML.mp425.58MB

5. Real World Machine Learning/2. Choosing an Algorithm.mp419.14MB

5. Real World Machine Learning/3. Design and Analysis of ML Experiments.mp419.79MB

5. Real World Machine Learning/4. Common Software for ML.mp431.33MB

6. Warmup Project/1. Setting up OpenAI Gym.mp430.12MB

6. Warmup Project/2. Building and Training the Network Part 1.mp436.02MB

6. Warmup Project/3. Building and Training the Network Part 2.mp463.34MB

7. Project 1Board Game Review Prediction/1. Intro.mp47.55MB

7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.mp417.73MB

7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.mp435.5MB

7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.mp435.82MB

8. Project 2 Credit Card Fraud Detection/1. Intro.mp47.57MB

8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.mp437.57MB

8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.mp448.91MB

9. Project 4 Intro to Natural Language Processing/1. Intro.mp416.95MB

9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.mp4198.34MB

9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.mp4323.06MB

9. Project 4 Intro to Natural Language Processing/4. Text Classification.mp4216.93MB