| ファイル | サイズ |
|---|
| 01.Getting ready!/0101.The Course Overview.mp4 | 9.76 MB |
| 01.Getting ready!/0102.Introduction to Machine Learning.mp4 | 59.14 MB |
| 01.Getting ready!/0103.Tour of the JavaScript Machine Learning Landscape.mp4 | 29.84 MB |
| 01.Getting ready!/0104.Setting Up Our Machine Learning Environment.mp4 | 95.73 MB |
| 02.Diving Headfirst into Supervised Learning/0201.Understand Regression with Linear Regression.mp4 | 47.45 MB |
| 02.Diving Headfirst into Supervised Learning/0202.Understanding How Linear Regression Works.mp4 | 19.72 MB |
| 02.Diving Headfirst into Supervised Learning/0203.Predicting Salaries after College Using Linear Regression.mp4 | 69.85 MB |
| 02.Diving Headfirst into Supervised Learning/0204.Understand Classification with Logistic Regression.mp4 | 29.84 MB |
| 02.Diving Headfirst into Supervised Learning/0205.Classifying Clothes Using Logistic Regression.mp4 | 22.48 MB |
| 03.Improving Models/0301.Model Evaluation.mp4 | 25.78 MB |
| 03.Improving Models/0302.Better Measures than Accuracy.mp4 | 29.85 MB |
| 03.Improving Models/0303.Understanding the Results.mp4 | 18.93 MB |
| 03.Improving Models/0304.Improving the Models.mp4 | 22.56 MB |
| 04. Using Support Vector Machine and Random Forests for Complex Problems/0401.What are Support Vector Machines.mp4 | 18.42 MB |
| 04. Using Support Vector Machine and Random Forests for Complex Problems/0402.Using SVM Kernels to Transform Problems.mp4 | 12.05 MB |
| 04. Using Support Vector Machine and Random Forests for Complex Problems/0403.Image Classifier Using SVM.mp4 | 33.34 MB |
| 04. Using Support Vector Machine and Random Forests for Complex Problems/0404.Making Better Decision with Decision Trees.mp4 | 70.53 MB |
| 04. Using Support Vector Machine and Random Forests for Complex Problems/0405.Combining Decision Trees to Make Better Predictions.mp4 | 23.61 MB |
| 04. Using Support Vector Machine and Random Forests for Complex Problems/0406.Predicting Customer Churn Using Random Forests.mp4 | 20.10 MB |
| 05.Finding Hidden Value in Unlabeled Data/0501.Introduction and Advantage of Unsupervised Learning.mp4 | 26.33 MB |
| 05.Finding Hidden Value in Unlabeled Data/0502.Grouping Unlabeled Data in Meaningful Ways Using K-means Clustering.mp4 | 37.53 MB |
| 05.Finding Hidden Value in Unlabeled Data/0503.Using Principal Component Analysis to Speed-up Machine Learning Algorithms.mp4 | 39.46 MB |
| 05.Finding Hidden Value in Unlabeled Data/0504.Analyzing Plant Species Using K-means Clustering.mp4 | 75.80 MB |
| 06.Deep Neural Networks/0601.Introduction to Neural Networks.mp4 | 15.85 MB |
| 06.Deep Neural Networks/0602.How a Neural Network Works.mp4 | 58.10 MB |
| 06.Deep Neural Networks/0603.Neural Networks in Tensorflow.js.mp4 | 68.38 MB |
| 06.Deep Neural Networks/0604.Multiclass Classification Using TensorFlow.js.mp4 | 60.69 MB |
| Discuss.FTUForum.com.html | 31.89 kB |
| Exercise Files/exercise_files.zip | 172.00 B |
| FreeCoursesOnline.Me.html | 108.30 kB |
| FTUForum.com.html | 100.44 kB |
| How you can help Team-FTU.txt | 235.00 B |
| Torrent Downloaded From GloDls.to.txt | 84.00 B |
| [TGx]Downloaded from torrentgalaxy.org.txt | 524.00 B |
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