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

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种子哈希：801c8a91963034d9453043ad07eb54ca5d40987a
文档大小：2.9 GB
文档个数：70个文档
下载次数：2146次
下载速度：极快
收录时间：2022-01-15
最近下载：2025-05-16
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文档列表

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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0. Websites you may like/How you can help our Group!.txt 204 Bytes

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