磁力链接

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API Integration

文件列表

  • 01.Getting ready!/0104.Setting Up Our Machine Learning Environment.mp4 100.4 MB
  • 05.Finding Hidden Value in Unlabeled Data/0504.Analyzing Plant Species Using K-means Clustering.mp4 79.5 MB
  • 04. Using Support Vector Machine and Random Forests for Complex Problems/0404.Making Better Decision with Decision Trees.mp4 74.0 MB
  • 02.Diving Headfirst into Supervised Learning/0203.Predicting Salaries after College Using Linear Regression.mp4 73.2 MB
  • 06.Deep Neural Networks/0603.Neural Networks in Tensorflow.js.mp4 71.7 MB
  • 06.Deep Neural Networks/0604.Multiclass Classification Using TensorFlow.js.mp4 63.6 MB
  • 01.Getting ready!/0102.Introduction to Machine Learning.mp4 62.0 MB
  • 06.Deep Neural Networks/0602.How a Neural Network Works.mp4 60.9 MB
  • 02.Diving Headfirst into Supervised Learning/0201.Understand Regression with Linear Regression.mp4 49.8 MB
  • 05.Finding Hidden Value in Unlabeled Data/0503.Using Principal Component Analysis to Speed-up Machine Learning Algorithms.mp4 41.4 MB
  • 05.Finding Hidden Value in Unlabeled Data/0502.Grouping Unlabeled Data in Meaningful Ways Using K-means Clustering.mp4 39.4 MB
  • 04. Using Support Vector Machine and Random Forests for Complex Problems/0403.Image Classifier Using SVM.mp4 35.0 MB
  • 03.Improving Models/0302.Better Measures than Accuracy.mp4 31.3 MB
  • 02.Diving Headfirst into Supervised Learning/0204.Understand Classification with Logistic Regression.mp4 31.3 MB
  • 01.Getting ready!/0103.Tour of the JavaScript Machine Learning Landscape.mp4 31.3 MB
  • 05.Finding Hidden Value in Unlabeled Data/0501.Introduction and Advantage of Unsupervised Learning.mp4 27.6 MB
  • 03.Improving Models/0301.Model Evaluation.mp4 27.0 MB
  • 04. Using Support Vector Machine and Random Forests for Complex Problems/0405.Combining Decision Trees to Make Better Predictions.mp4 24.8 MB
  • 03.Improving Models/0304.Improving the Models.mp4 23.7 MB
  • 02.Diving Headfirst into Supervised Learning/0205.Classifying Clothes Using Logistic Regression.mp4 23.6 MB
  • 04. Using Support Vector Machine and Random Forests for Complex Problems/0406.Predicting Customer Churn Using Random Forests.mp4 21.1 MB
  • 02.Diving Headfirst into Supervised Learning/0202.Understanding How Linear Regression Works.mp4 20.7 MB
  • 03.Improving Models/0303.Understanding the Results.mp4 19.8 MB
  • 04. Using Support Vector Machine and Random Forests for Complex Problems/0401.What are Support Vector Machines.mp4 19.3 MB
  • 06.Deep Neural Networks/0601.Introduction to Neural Networks.mp4 16.6 MB
  • 04. Using Support Vector Machine and Random Forests for Complex Problems/0402.Using SVM Kernels to Transform Problems.mp4 12.6 MB
  • 01.Getting ready!/0101.The Course Overview.mp4 10.2 MB
  • FreeCoursesOnline.Me.html 110.9 kB
  • FTUForum.com.html 102.8 kB
  • Discuss.FTUForum.com.html 32.7 kB
  • [TGx]Downloaded from torrentgalaxy.org.txt 524 Bytes
  • How you can help Team-FTU.txt 235 Bytes
  • Exercise Files/exercise_files.zip 172 Bytes
  • Torrent Downloaded From GloDls.to.txt 84 Bytes

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