[FreeCoursesOnline.Me] MANNING - Machine Learning for Mere Mortals

大小 2.69 GB

文件数 70

Info Hash: 801C8A91963034D9453043AD07EB54CA5D40987A

收录时间 2026-02-06 09:14:12

更新时间 2026-02-06 09:14:12

文件列表 (70)

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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

28.4 MB

U01M06 A quick math refresher.mp4

11.02 MB

U01M07 Slope of a line.mp4

45.1 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

3.8 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 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

68.7 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

84.5 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

119.1 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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