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Building Computer Vision Applications with Python/Ex_Files_Computer_Vision_Deep_Dive_in_Python.zip 152.8 MB
Building Computer Vision Applications with Python/6 - Fun with Cuts/2. Stitching two images together.mp4 46.3 MB
Machine Learning Foundations Linear Algebra/2 - Vectors Basics/1. Introduction to vectors.mp4 31.4 MB
Building Computer Vision Applications with Python/4 - Filters/3. Median filters.mp4 26.6 MB
Machine Learning Foundations Linear Algebra/1 - Introduction to Linear Algebra/2. Applications of linear algebra in ML.mp4 23.9 MB
Building Computer Vision Applications with Python/3 - From Color to Black and White/4. Adaptive thresholding.mp4 22.0 MB
Building Computer Vision Applications with Python/2 - The Basics of Image Processing/3. Image file management.mp4 20.1 MB
Reinforcement Learning Foundations/1 - Getting Started with Reinforcement Learning/3. Markov decision process.mp4 18.2 MB
Machine Learning Foundations Linear Algebra/3 - Vector Projections and Basis/3. Changing basis of vectors.mp4 18.0 MB
Machine Learning Foundations Linear Algebra/5 - Gaussian Elimination/1. Solving linear equations using Gaussian elimination.mp4 17.9 MB
Artificial Intelligence Foundations Thinking Machines/3 - Finding the Right Approach/1. Match patterns.mp4 16.3 MB
Artificial Intelligence Foundations Neural Networks/3 - Other Types of Neural Networks/1. Convolutional neural networks (CNN).mp4 16.3 MB
Reinforcement Learning Foundations/4 - Temporal Difference Methods/2. SARSA.mp4 15.9 MB
Reinforcement Learning Foundations/1 - Getting Started with Reinforcement Learning/2. A basic RL problem.mp4 15.8 MB
Artificial Intelligence Foundations Thinking Machines/4 - Common AI Programs/2. Natural language processing.mp4 15.2 MB
Machine Learning Foundations Linear Algebra/6 - Matrices from Orthogonality to Gram–Schmidt Process/2. Transforming to the new basis.mp4 15.1 MB
Hands-On PyTorch Machine Learning/5 - Torchtext/2. Torchtext for translation.mp4 15.0 MB
Artificial Intelligence Foundations Thinking Machines/4 - Common AI Programs/1. Robotics.mp4 14.9 MB
Building Computer Vision Applications with Python/4 - Filters/5. Edge detection filters.mp4 14.9 MB
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4. Classifying Data with Logistic Regression/1. How to explore data for logistic regression in Python.mp4 39.8 MB
4. Classifying Data with Logistic Regression/4. How to interpret a logistic regression model in Python.mp4 29.9 MB
1. Introduction/4. Using GitHub Codespaces with this course.mp4 22.8 MB
4. Classifying Data with Logistic Regression/2. How to prepare data for logistic regression in Python.mp4 22.0 MB
4. Classifying Data with Logistic Regression/3. How to build a logistic regression model in Python.mp4 18.7 MB
2. Regression/3. Common types of regression.mp4 14.9 MB
3. Logistic Regression/3. Interpreting the coefficients of logistic regression.mp4 14.8 MB
3. Logistic Regression/2. Making predictions with logistic regression.mp4 14.1 MB
3. Logistic Regression/1. What is logistic regression.mp4 11.6 MB
2. Regression/1. What is regression.mp4 9.8 MB
2. Regression/2. The anatomy of a regression model.mp4 9.8 MB
1. Introduction/3. Using the exercise files.mp4 5.2 MB
3. Logistic Regression/4. Why and when to use logistic regression.mp4 4.8 MB
5. Conclusion/1. Next steps.mp4 4.4 MB
1. Introduction/1. Classifying data with logistic regression.mp4 4.4 MB
1. Introduction/2. What you should know.mp4 2.9 MB
4. Classifying Data with Logistic Regression/1. How to explore data for logistic regression in Python.srt 17.5 kB
4. Classifying Data with Logistic Regression/4. How to interpret a logistic regression model in Python.srt 11.8 kB
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4. Working with Regression Trees/1. How to build a regression tree in Python.mp4 23.9 MB
2. Decision Trees/5. How to prune a decision tree.mp4 21.2 MB
4. Working with Regression Trees/3. How to prune a regression tree in Python.mp4 18.8 MB
3. Working with Classification Trees/1. How to build a classification tree in Python.mp4 18.6 MB
2. Decision Trees/3. How do classification trees measure impurity.mp4 16.1 MB
2. Decision Trees/2. How is a classification tree built.mp4 15.4 MB
2. Decision Trees/4. How is a regression tree built.mp4 15.1 MB
3. Working with Classification Trees/3. How to prune a classification tree in Python.mp4 14.8 MB
4. Working with Regression Trees/2. How to visualize a regression tree in Python.mp4 14.1 MB
3. Working with Classification Trees/2. How to visualize a classification tree in Python.mp4 13.2 MB
2. Decision Trees/1. What is a decision tree.mp4 13.0 MB
2. Decision Trees/6. Why and when to use a decision tree.mp4 10.4 MB
1. Introduction/4. Using the exercise files.mp4 5.5 MB
5. Conclusion/1. Next steps with decision trees.mp4 4.5 MB
1. Introduction/3. The tools you need.mp4 3.5 MB
1. Introduction/1. Making decisions with Python.mp4 3.4 MB
1. Introduction/2. What you should know.mp4 3.1 MB
Exercise Files/03/03e.ipynb 11.5 kB
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4. Working with Regression Trees/1. How to build a regression tree in Python.srt 10.6 kB

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【影视】 Linkedin Learning Machine Learning With Python-K-Means Clustering

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3. Segmenting Data with K-Means Clustering/1. How to segment data with k-means clustering in Python.mp4 31.2 MB
2. Understanding K-Means Clustering/3. Choosing the right number of clusters.mp4 26.6 MB
3. Segmenting Data with K-Means Clustering/4. How to interpret the results of k-means clustering in Python.mp4 18.9 MB
3. Segmenting Data with K-Means Clustering/3. How to find the right number of clusters in Python.mp4 18.3 MB
2. Understanding K-Means Clustering/1. What is clustering.mp4 16.9 MB
3. Segmenting Data with K-Means Clustering/2. How to evaluate and visualize clusters in Python.mp4 14.2 MB
2. Understanding K-Means Clustering/2. What is k-means clustering.mp4 11.0 MB
2. Understanding K-Means Clustering/4. Why and when to use k-means clustering.mp4 9.4 MB
1. Introduction/4. Using the exercise files.mp4 6.2 MB
4. Conclusion/1. Next steps.mp4 4.7 MB
1. Introduction/1. Getting started with Python and k-means clustering.mp4 4.0 MB
1. Introduction/2. What you should know.mp4 3.9 MB
1. Introduction/2. What you should know_1.mp4 3.3 MB
1. Introduction/3. The tools you need.mp4 3.2 MB
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Exercise Files/02/02b.ipynb 15.2 kB
2. Understanding K-Means Clustering/3. Choosing the right number of clusters.srt 11.9 kB
3. Segmenting Data with K-Means Clustering/1. How to segment data with k-means clustering in Python.srt 11.4 kB
3. Segmenting Data with K-Means Clustering/4. How to interpret the results of k-means clustering in Python.srt 7.7 kB
2. Understanding K-Means Clustering/1. What is clustering.srt 7.5 kB

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