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08 - Automatic Differentiation/006 Machine Learning with Autodiff.mp4 223.5 MB
04 - Eigenvectors and Eigenvalues/004 Eigenvectors and Eigenvalues.mp4 212.1 MB
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09 - Partial Derivative Calculus/001 Segment Intro.mp4 141.2 MB
05 - Matrix Operations for Machine Learning/005 Regression with the Pseudoinverse.mp4 140.7 MB
01 - Data Structures for Linear Algebra/002 What Linear Algebra Is.mp4 139.5 MB
08 - Automatic Differentiation/005 The Line Equation as a Tensor Graph.mp4 122.3 MB
06 - Limits/007 Calculating Limits.mp4 107.3 MB
04 - Eigenvectors and Eigenvalues/001 Segment Intro.mp4 106.5 MB
05 - Matrix Operations for Machine Learning/004 The Moore-Penrose Pseudoinverse.mp4 102.5 MB
05 - Matrix Operations for Machine Learning/003 Data Compression with SVD.mp4 101.7 MB
04 - Eigenvectors and Eigenvalues/003 Affine Transformations.mp4 100.6 MB
01 - Data Structures for Linear Algebra/006 Scalars.mp4 96.6 MB
09 - Partial Derivative Calculus/010 Point-by-Point Regression.mp4 95.1 MB
04 - Eigenvectors and Eigenvalues/008 Determinants and Eigenvalues.mp4 93.7 MB
04 - Eigenvectors and Eigenvalues/009 Eigendecomposition.mp4 88.0 MB
05 - Matrix Operations for Machine Learning/002 Singular Value Decomposition.mp4 80.4 MB
04 - Eigenvectors and Eigenvalues/010 Eigenvector and Eigenvalue Applications.mp4 79.4 MB
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【影视】 [GigaCourse.Com] Udemy - Machine Learning with SciKit-Learn with Python

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9. Cross Validation/9. Text Data Example.mp4 94.2 MB
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5. Matlplotlib/2. Understanding Various Functions of Pyplot.mp4 89.6 MB
9. Cross Validation/14. Parameter Tuning.mp4 89.3 MB
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【影视】 AWS Certified Machine Learning Specialty 2020 - Hands On!

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03 Exploratory Data Analysis/047 Lab Preparing Data for TF-IDF with Spark and EMR Part 3.mp4 133.9 MB
05 ML Implementation and Operations/106 Lab Tuning Deploying and Predicting with Tensorflow on SageMaker - Part 3.mp4 97.2 MB
04 Modeling/051 Convolutional Neural Networks.mp4 93.4 MB
03 Exploratory Data Analysis/046 Lab Preparing Data for TF-IDF with Spark and EMR Part 2.mp4 87.7 MB
03 Exploratory Data Analysis/029 Example Preparing Data for Machine Learning in a Jupyter Notebook.mp4 86.8 MB
05 ML Implementation and Operations/105 Lab Tuning Deploying and Predicting with Tensorflow on SageMaker - Part 2.mp4 84.6 MB
04 Modeling/094 Lab Tuning a Convolutional Neural Network on EC2 Part 2.mp4 84.4 MB
01 Introduction/002 Course Introduction What to Expect.mp4 82.0 MB
04 Modeling/093 Lab Tuning a Convolutional Neural Network on EC2 Part 1.mp4 81.8 MB
04 Modeling/079 Reinforcement Learning in SageMaker.mp4 71.5 MB
04 Modeling/049 Introduction to Deep Learning.mp4 66.7 MB
04 Modeling/052 Recurrent Neural Networks.mp4 62.4 MB
04 Modeling/095 Lab Tuning a Convolutional Neural Network on EC2 Part 3.mp4 59.3 MB
03 Exploratory Data Analysis/040 Imputing Missing Data.mp4 55.9 MB
02 Data Engineering/011 Lab 1.2 - Kinesis Data Analytics.mp4 55.4 MB
03 Exploratory Data Analysis/043 Binning Transforming Encoding Scaling and Shuffling.mp4 55.2 MB
04 Modeling/061 Introducing Amazon SageMaker.mp4 53.8 MB
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