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[FreeCoursesOnline.Me] MANNING - Machine Learning for Mere Mortals
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2021-12-4 22:02
2024-8-26 18:13
211
2.69 GB
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FreeCoursesOnline
Me
MANNING
-
Machine
Learning
for
Mere
Mortals
文件列表
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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