[FreeCoursesOnline.Me] MANNING - Machine Learning for Mere Mortals torrent, magnet, bt

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

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2021-08-26

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U01M01 The basics.mp4

34.68MB

U01M02 Machine Learning versus Artificial Intelligence.mp4

33.01MB

U01M03 Supervised learning.mp4

43.06MB

U01M04 Unsupervised learning.mp4

16.22MB

U01M05 Reinforcement learning.mp4

28.4MB

U01M06 A quick math refresher.mp4

11.02MB

U01M07 Slope of a line.mp4

45.1MB

U01M08 Scalars, vectors, and tensors.mp4

26.47MB

U01M09 Matrices and matrix arithmetic.mp4

13.44MB

U01M10 Set up your computing environment.mp4

1.83MB

U01M11 Install Python tools.mp4

11.18MB

U01M12 Create virtualenv environment.mp4

5.88MB

U01M13 Install Tensorflow.mp4

18.31MB

U01M14 The projects.mp4

10.06MB

U02M01 Supervised learning.mp4

22.32MB

U02M02 Trend lines.mp4

4.62MB

U02M03 Cost functions.mp4

3.8MB

U02M04 Minimizing cost functions.mp4

8.78MB

U02M05 Visualizing data.mp4

34.97MB

U02M06 Using linear regression to predict values.mp4

22.84MB

U02M07 More complicated functions.mp4

1.71MB

U02M08 Working with matrices.mp4

4.61MB

U02M09 Letting Tensorflow do the hard work.mp4

14.17MB

U03M01 More supervised learning.mp4

4.72MB

U03M02 What are features_.mp4

5.63MB

U03M03 What makes a good feature_.mp4

15.53MB

U03M04 Decision trees.mp4

10.58MB

U03M05 K-nearest neighbor.mp4

9.92MB

U03M06 Linear classification.mp4

7.89MB

U03M07 Making it work in Tensorflow.mp4

21.22MB

U03M08 Creating a spam filter.mp4

13.66MB

U03M09 Tools and data for email classification.mp4

36MB

U03M10 Classifying emails.mp4

9.15MB

U04M01 How clustering works.mp4

82.12MB

U04M02 Clustering algorithms.mp4

56.82MB

U04M03 Introducing k-means.mp4

56.87MB

U04M06 Assigning Points to a Centroid in K-means).mp4

34.33MB

U05M01 What are neural networks, and how do they work.mp4

68.7MB

U05M02 The Tensorflow Playground interface.mp4

14.04MB

U05M03 Adding nodes to use multiple models in the TensorFlow Playground.mp4

12.81MB

U05M04 What hidden layers are, and how to use them with TensorFlow Playground.mp4

43.92MB

U05M05 What is the activation function in a neural network_.mp4

35.82MB

U06M01 Using Neural Networks.mp4

56.56MB

U06M02 How encoding non-numeric data works.mp4

64.84MB

U06M03 One hot encoding.mp4

84.5MB

U06M04 How image recognition relates to a neural network.mp4

95.14MB

U07M01 Encoding and Representation.mp4

21.27MB

U07M02 Numeric representation of data.mp4

40.61MB

U07M03 Text representation of data.mp4

31.82MB

U07M04 Representation of image data.mp4

34.06MB

U07M05 Representation of audio data.mp4

28.39MB

U07M06 Analytics, stock prices, and other time series data.mp4

43.63MB

U07M07 Preparing data_ finding the data set.mp4

31.31MB

U07M08 Preparing data_ Features engineering.mp4

61.38MB

U07M09 Principal Component Analysis_ The mathematical way to determine features.mp4

23.11MB

U07M10 Feature selection.mp4

34.54MB

U07M11 Geometry of the data space and the curse of dimensionality.mp4

58.61MB

U08M01 The difference between an algorithm and a model.mp4

50.27MB

U08M02 Chaining together models.mp4

146.62MB

U09M01 Improving performance in machine learning routines.mp4

89.81MB

U09M02 Using parallelization.mp4

57.25MB

U09M03 Outliers.mp4

204.64MB

U09M05 What should we do with outliers_.mp4

119.1MB

U09M06 Robustness and noise.mp4

40.25MB

U09M07 Overfitting.mp4

104.22MB

U09M08 Regularization.mp4

272.46MB

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