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

磁力链接/BT种子名称

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

磁力链接/BT种子简介

种子哈希：ed4024bda10728a40d0bdc9c4385e9531971d646
文件大小： 2.69G
已经下载：18次
下载速度：极快
收录时间：2022-01-28
最近下载：2024-08-28

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文件列表

  • U09M08 Regularization.mp4 285.7 MB
  • U09M03 Outliers.mp4 214.6 MB
  • U08M02 Chaining together models.mp4 153.7 MB
  • U09M05 What should we do with outliers_.mp4 124.9 MB
  • U09M07 Overfitting.mp4 109.3 MB
  • U06M04 How image recognition relates to a neural network.mp4 99.8 MB
  • U09M01 Improving performance in machine learning routines.mp4 94.2 MB
  • U06M03 One hot encoding.mp4 88.6 MB
  • U04M01 How clustering works.mp4 86.1 MB
  • U05M01 What are neural networks, and how do they work.mp4 72.0 MB
  • U06M02 How encoding non-numeric data works.mp4 68.0 MB
  • U07M08 Preparing data_ Features engineering.mp4 64.4 MB
  • U07M11 Geometry of the data space and the curse of dimensionality.mp4 61.5 MB
  • U09M02 Using parallelization.mp4 60.0 MB
  • U04M03 Introducing k-means.mp4 59.6 MB
  • U04M02 Clustering algorithms.mp4 59.6 MB
  • U06M01 Using Neural Networks.mp4 59.3 MB
  • U08M01 The difference between an algorithm and a model.mp4 52.7 MB
  • U01M07 Slope of a line.mp4 47.3 MB
  • U05M04 What hidden layers are, and how to use them with TensorFlow Playground.mp4 46.1 MB
  • U07M06 Analytics, stock prices, and other time series data.mp4 45.8 MB
  • U01M03 Supervised learning.mp4 45.2 MB
  • U07M02 Numeric representation of data.mp4 42.6 MB
  • U09M06 Robustness and noise.mp4 42.2 MB
  • U03M09 Tools and data for email classification.mp4 37.7 MB
  • U05M05 What is the activation function in a neural network_.mp4 37.6 MB
  • U02M05 Visualizing data.mp4 36.7 MB
  • U01M01 The basics.mp4 36.4 MB
  • U07M10 Feature selection.mp4 36.2 MB
  • U04M06 Assigning Points to a Centroid in K-means).mp4 36.0 MB
  • U07M04 Representation of image data.mp4 35.7 MB
  • U01M02 Machine Learning versus Artificial Intelligence.mp4 34.6 MB
  • U07M03 Text representation of data.mp4 33.4 MB
  • U07M07 Preparing data_ finding the data set.mp4 32.8 MB
  • U01M05 Reinforcement learning.mp4 29.8 MB
  • U07M05 Representation of audio data.mp4 29.8 MB
  • U01M08 Scalars, vectors, and tensors.mp4 27.8 MB
  • U07M09 Principal Component Analysis_ The mathematical way to determine features.mp4 24.2 MB
  • U02M06 Using linear regression to predict values.mp4 23.9 MB
  • U02M01 Supervised learning.mp4 23.4 MB
  • U07M01 Encoding and Representation.mp4 22.3 MB
  • U03M07 Making it work in Tensorflow.mp4 22.3 MB
  • U01M13 Install Tensorflow.mp4 19.2 MB
  • U01M04 Unsupervised learning.mp4 17.0 MB
  • U03M03 What makes a good feature_.mp4 16.3 MB
  • U02M09 Letting Tensorflow do the hard work.mp4 14.9 MB
  • U05M02 The Tensorflow Playground interface.mp4 14.7 MB
  • U03M08 Creating a spam filter.mp4 14.3 MB
  • U01M09 Matrices and matrix arithmetic.mp4 14.1 MB
  • U05M03 Adding nodes to use multiple models in the TensorFlow Playground.mp4 13.4 MB
  • U01M11 Install Python tools.mp4 11.7 MB
  • U01M06 A quick math refresher.mp4 11.6 MB
  • U03M04 Decision trees.mp4 11.1 MB
  • U01M14 The projects.mp4 10.5 MB
  • U03M05 K-nearest neighbor.mp4 10.4 MB
  • U03M10 Classifying emails.mp4 9.6 MB
  • U02M04 Minimizing cost functions.mp4 9.2 MB
  • U03M06 Linear classification.mp4 8.3 MB
  • U01M12 Create virtualenv environment.mp4 6.2 MB
  • U03M02 What are features_.mp4 5.9 MB
  • U03M01 More supervised learning.mp4 5.0 MB
  • U02M02 Trend lines.mp4 4.8 MB
  • U02M08 Working with matrices.mp4 4.8 MB
  • U02M03 Cost functions.mp4 4.0 MB
  • U01M10 Set up your computing environment.mp4 1.9 MB
  • U02M07 More complicated functions.mp4 1.8 MB
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