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【文档书籍】 Matthew Kirk - Thoughtful Machine Learning - 2015

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Examples/examples-master/.gitignore 49 Bytes
Examples/examples-master/2-k-nearest-neighbors/app.rb 1.2 kB
Examples/examples-master/2-k-nearest-neighbors/config.ru 66 Bytes
Examples/examples-master/2-k-nearest-neighbors/config/bootstrap.rb 106 Bytes
Examples/examples-master/2-k-nearest-neighbors/data/haarcascade_frontalface_alt.xml 919.9 kB
Examples/examples-master/2-k-nearest-neighbors/Gemfile 221 Bytes
Examples/examples-master/2-k-nearest-neighbors/Gemfile.lock 801 Bytes
Examples/examples-master/2-k-nearest-neighbors/lib/face.rb 912 Bytes
Examples/examples-master/2-k-nearest-neighbors/lib/image.rb 1.4 kB
Examples/examples-master/2-k-nearest-neighbors/lib/neighborhood.rb 1.9 kB
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【影视】 [ CourseWikia.com ] Pearson - AWS Certified Machine Learning - Specialty

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~Get Your Files Here !/Lesson 2 Exploratory Data Analysis/004. 2.3 Analyze data for machine learning.mp4 27.0 MB
~Get Your Files Here !/Lesson 2 Exploratory Data Analysis/002. 2.1 Sanitize and prepare data for modeling.mp4 26.2 MB
~Get Your Files Here !/Lesson 1 Data Engineering/003. 1.2 Identify and implement a data ingestion solution.mp4 25.8 MB
~Get Your Files Here !/Lesson 4 Evaluating Models/006. 4.5 Implement machine learning best practices.mp4 25.7 MB
~Get Your Files Here !/Lesson 1 Data Engineering/002. 1.1 Create data repositories for machine learning.mp4 25.5 MB
~Get Your Files Here !/Lesson 3 Training Models/003. 3.2 Select the appropriate model for a machine learning problem.mp4 24.2 MB
~Get Your Files Here !/Lesson 3 Training Models/002. 3.1 Frame business problems as machine learning problems.mp4 23.5 MB
~Get Your Files Here !/Lesson 4 Evaluating Models/003. 4.2 Use other methods for hyperparameter optimization.mp4 23.3 MB
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~Get Your Files Here !/Lesson 2 Exploratory Data Analysis/005. 2.4 Visualize data for machine learning.mp4 22.1 MB
~Get Your Files Here !/Lesson 4 Evaluating Models/005. 4.4 Compare models with different metrics.mp4 21.8 MB
~Get Your Files Here !/Lesson 5 Machine Learning Implementation and Operations/005. 5.4 Apply basic AWS security practices to machine learning solutions.mp4 21.6 MB
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~Get Your Files Here !/Lesson 5 Machine Learning Implementation and Operations/003. 5.2 Address scaling concerns.mp4 20.7 MB
~Get Your Files Here !/Lesson 5 Machine Learning Implementation and Operations/002. 5.1 Build machine learning solutions for production.mp4 20.5 MB
~Get Your Files Here !/Introduction/001. AWS Certified Machine Learning Specialty Introduction.mp4 20.3 MB

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【影视】 Cluster Analysis and Unsupervised Machine Learning in Python

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Chapter 7 Setting Up Your Environment (Appendix)/002. Anaconda Environment Setup.mp4 69.7 MB
Chapter 6 Gaussian Mixture Models (GMMs)/002. Write a Gaussian Mixture Model in Python Code.mp4 65.8 MB
Chapter 5 Hierarchical Clustering/005. Application Donald Trump vs. Hillary Clinton Tweets.mp4 52.8 MB
Chapter 7 Setting Up Your Environment (Appendix)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.mp4 51.5 MB
Chapter 4 K-Means Clustering/007. Hard K-Means Exercise 3 Solution.mp4 47.8 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 43.6 MB
Chapter 5 Hierarchical Clustering/004. Application Evolution.mp4 39.5 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/004. What order should I take your courses in (part 2).mp4 39.3 MB
Chapter 4 K-Means Clustering/021. K-Means Application Finding Clusters of Related Words.mp4 37.2 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/003. Proof that using Jupyter Notebook is the same as not using it.mp4 36.2 MB
Chapter 6 Gaussian Mixture Models (GMMs)/001. Gaussian Mixture Model (GMM) Algorithm.mp4 31.9 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/001. How to Code Yourself (part 1).mp4 31.0 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/004. How to use Github & Extra Coding Tips (Optional).mp4 30.6 MB
Chapter 4 K-Means Clustering/003. Hard K-Means Exercise 1 Solution.mp4 30.6 MB
Chapter 4 K-Means Clustering/013. Soft K-Means in Python Code.mp4 30.4 MB
Chapter 4 K-Means Clustering/008. Hard K-Means Objective Theory.mp4 29.9 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/003. What order should I take your courses in (part 1).mp4 29.5 MB
Chapter 4 K-Means Clustering/002. Hard K-Means Exercise Prompt 1.mp4 25.9 MB
Chapter 6 Gaussian Mixture Models (GMMs)/008. Expectation-Maximization (pt 1).mp4 24.5 MB
Chapter 6 Gaussian Mixture Models (GMMs)/007. GMM vs Bayes Classifier (pt 2).mp4 23.2 MB

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