| ملف | حجم |
|---|
| 0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles _ Community based Forum.url | 377.00 B |
| 0. Websites you may like/1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url | 286.00 B |
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| 0. Websites you may like/How you can help our Group!.txt | 204.00 B |
| U01M01 The basics.mp4 | 34.68 MB |
| U01M02 Machine Learning versus Artificial Intelligence.mp4 | 33.01 MB |
| U01M03 Supervised learning.mp4 | 43.06 MB |
| U01M04 Unsupervised learning.mp4 | 16.22 MB |
| U01M05 Reinforcement learning.mp4 | 28.40 MB |
| U01M06 A quick math refresher.mp4 | 11.02 MB |
| U01M07 Slope of a line.mp4 | 45.10 MB |
| U01M08 Scalars, vectors, and tensors.mp4 | 26.47 MB |
| U01M09 Matrices and matrix arithmetic.mp4 | 13.44 MB |
| U01M10 Set up your computing environment.mp4 | 1.83 MB |
| U01M11 Install Python tools.mp4 | 11.18 MB |
| U01M12 Create virtualenv environment.mp4 | 5.88 MB |
| U01M13 Install Tensorflow.mp4 | 18.31 MB |
| U01M14 The projects.mp4 | 10.06 MB |
| U02M01 Supervised learning.mp4 | 22.32 MB |
| U02M02 Trend lines.mp4 | 4.62 MB |
| U02M03 Cost functions.mp4 | 3.80 MB |
| U02M04 Minimizing cost functions.mp4 | 8.78 MB |
| U02M05 Visualizing data.mp4 | 34.97 MB |
| U02M06 Using linear regression to predict values.mp4 | 22.84 MB |
| U02M07 More complicated functions.mp4 | 1.71 MB |
| U02M08 Working with matrices.mp4 | 4.61 MB |
| U02M09 Letting Tensorflow do the hard work.mp4 | 14.17 MB |
| U03M01 More supervised learning.mp4 | 4.72 MB |
| U03M02 What are features_.mp4 | 5.63 MB |
| U03M03 What makes a good feature_.mp4 | 15.53 MB |
| U03M04 Decision trees.mp4 | 10.58 MB |
| U03M05 K-nearest neighbor.mp4 | 9.92 MB |
| U03M06 Linear classification.mp4 | 7.89 MB |
| U03M07 Making it work in Tensorflow.mp4 | 21.22 MB |
| U03M08 Creating a spam filter.mp4 | 13.66 MB |
| U03M09 Tools and data for email classification.mp4 | 36.00 MB |
| U03M10 Classifying emails.mp4 | 9.15 MB |
| U04M01 How clustering works.mp4 | 82.12 MB |
| U04M02 Clustering algorithms.mp4 | 56.82 MB |
| U04M03 Introducing k-means.mp4 | 56.87 MB |
| U04M06 Assigning Points to a Centroid in K-means).mp4 | 34.33 MB |
| U05M01 What are neural networks, and how do they work.mp4 | 68.70 MB |
| U05M02 The Tensorflow Playground interface.mp4 | 14.04 MB |
| U05M03 Adding nodes to use multiple models in the TensorFlow Playground.mp4 | 12.81 MB |
| U05M04 What hidden layers are, and how to use them with TensorFlow Playground.mp4 | 43.92 MB |
| U05M05 What is the activation function in a neural network_.mp4 | 35.82 MB |
| U06M01 Using Neural Networks.mp4 | 56.56 MB |
| U06M02 How encoding non-numeric data works.mp4 | 64.84 MB |
| U06M03 One hot encoding.mp4 | 84.50 MB |
| U06M04 How image recognition relates to a neural network.mp4 | 95.14 MB |
| U07M01 Encoding and Representation.mp4 | 21.27 MB |
| U07M02 Numeric representation of data.mp4 | 40.61 MB |
| U07M03 Text representation of data.mp4 | 31.82 MB |
| U07M04 Representation of image data.mp4 | 34.06 MB |
| U07M05 Representation of audio data.mp4 | 28.39 MB |
| U07M06 Analytics, stock prices, and other time series data.mp4 | 43.63 MB |
| U07M07 Preparing data_ finding the data set.mp4 | 31.31 MB |
| U07M08 Preparing data_ Features engineering.mp4 | 61.38 MB |
| U07M09 Principal Component Analysis_ The mathematical way to determine features.mp4 | 23.11 MB |
| U07M10 Feature selection.mp4 | 34.54 MB |
| U07M11 Geometry of the data space and the curse of dimensionality.mp4 | 58.61 MB |
| U08M01 The difference between an algorithm and a model.mp4 | 50.27 MB |
| U08M02 Chaining together models.mp4 | 146.62 MB |
| U09M01 Improving performance in machine learning routines.mp4 | 89.81 MB |
| U09M02 Using parallelization.mp4 | 57.25 MB |
| U09M03 Outliers.mp4 | 204.64 MB |
| U09M05 What should we do with outliers_.mp4 | 119.10 MB |
| U09M06 Robustness and noise.mp4 | 40.25 MB |
| U09M07 Overfitting.mp4 | 104.22 MB |
| U09M08 Regularization.mp4 | 272.46 MB |
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