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【压缩文件】 [LinkedIn Learning] Getting Started with AI and Machine Learning - Complete 7 Courses

收录时间:2024-08-25 文档个数:408 文档大小:1.9 GB 最近下载:2025-05-15 人气:8230 磁力链接

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
Artificial Intelligence Foundations Thinking Machines/2 - The Rise of Machine Learning/3. Perceptrons.mp4 14.8 MB

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【压缩文件】 [CourserHub.com] Coursera - Data Science Statistics and Machine Learning Specialization

收录时间:2023-12-17 文档个数:729 文档大小:4.3 GB 最近下载:2025-05-16 人气:8010 磁力链接

data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/06_syllabus_Coursera-SwiftKey.zip 574.7 MB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/02_task-0-understanding-the-problem/02_task-0-understanding-the-problem_Coursera-SwiftKey.zip 574.7 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/01_week-4-new-videos/02_glms.mp4 80.3 MB
data-products/04_r-packages/01_r-packages/04_building-r-packages-demo.mp4 71.9 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/04_hodgepodge/02_hodgepodge.mp4 70.2 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/03_model-selection-part-ii.mp4 65.8 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/01_multivariable-regression-examples-part-i.mp4 65.8 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/02_multivariable-regression-examples-part-ii.mp4 64.3 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/04_07-03-asymptotics-and-confidence-intervals.mp4 49.5 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/04_model-selection-part-iii.mp4 47.3 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/02_logistic-regression-part-i.mp4 46.8 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/03_poisson-regression/02_poisson-regression-part-i.mp4 46.7 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/03_adjustment/02_adjustment-examples.mp4 44.6 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/03_poisson-regression/03_poisson-regression-part-ii.mp4 41.1 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/02_multivariable-regression-part-i.mp4 37.0 MB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/02_module-12-multiple-comparisons/01_12-01-multiple-comparisons.mp4 36.9 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/02_module-6-distributions/03_06-02-normal-distribution.mp4 36.4 MB
regression-models/01_week-1-least-squares-and-linear-regression/04_regression-to-the-mean/02_regression-to-the-mean.mp4 33.2 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/04_residuals-again/03_residuals-and-diagnostics-part-ii.mp4 32.1 MB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/03_residuals-coding-example.mp4 31.9 MB

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【压缩文件】 Pluralsight Path. Machine Learning Literacy. Practical Application (2021)

收录时间:2023-12-30 文档个数:388 文档大小:1.5 GB 最近下载:2025-05-16 人气:7903 磁力链接

5. Machine Learning for Retail (Janani Ravi, 2021)/exercise.7z 39.2 MB
3. Foundations of Statistics and Probability for Machine Learning (Janani Ravi, 2021)/4. Performing Regression Analysis/5. Demo - Regression Analysis Using a Single Predictor.mp4 14.2 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/2. Introducing Data-driven Decision Making/4. Steps in Data-driven Decision Making.mp4 14.1 MB
3. Foundations of Statistics and Probability for Machine Learning (Janani Ravi, 2021)/3. Interpreting Data Using Statistical Test/8. Demo - Paired Samples t-test.mp4 14.0 MB
4. Machine Learning for Financial Services (Janani Ravi, 2021)/exercise.7z 13.9 MB
6. Machine Learning for Healthcare (Janani Ravi, 2021)/2. Exploring Applications of Machine Learning in Healthcare/8. Convolutional Neural Networks to Work with Images.mp4 13.9 MB
6. Machine Learning for Healthcare (Janani Ravi, 2021)/5. Applying Machine Learning Techniques to Healthcare Data/5. Demo - Predicting Liver Disease - Performing Classification.mp4 13.8 MB
3. Foundations of Statistics and Probability for Machine Learning (Janani Ravi, 2021)/2. Understanding Descriptive Statistics and Probability Distributions/12. Demo - Skewness and Kurtosis.mp4 13.6 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/4. Applying Data-driven Decision Making/4. Case Study BADIR Framework - Winery and Wedding Event Company.mp4 13.4 MB
6. Machine Learning for Healthcare (Janani Ravi, 2021)/5. Applying Machine Learning Techniques to Healthcare Data/3. Demo - Predicting Blood Pressure - Performing Regression.mp4 13.4 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/4. Applying Data-driven Decision Making/1. Case Study - Hospitality Industry.mp4 13.2 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/3. Exploring Decision Frameworks/6. Porters Five Forces Framework.mp4 13.1 MB
1. Key Concepts Machine Learning (Janani Ravi, 2021)/4. Applying Machine Learning to Complex Data/6. Applying Machine Learning to Speech Data.mp4 13.1 MB
5. Machine Learning for Retail (Janani Ravi, 2021)/2. Exploring Applications of Machine Learning in Retail/09. Machine Learning for Visual Search.mp4 13.0 MB
3. Foundations of Statistics and Probability for Machine Learning (Janani Ravi, 2021)/3. Interpreting Data Using Statistical Test/6. Demo - Two Sample t-test Part I.mp4 12.7 MB
6. Machine Learning for Healthcare (Janani Ravi, 2021)/4. Case Study - Diagnosis Using Medical Imaging/1. Diagnosis Using Medical Imaging - Background and Context.mp4 12.5 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/3. Exploring Decision Frameworks/1. Data-enabled Decision Theory.mp4 12.5 MB
6. Machine Learning for Healthcare (Janani Ravi, 2021)/3. Case Study - Disease Detection Using Machine Learning/1. Chronic Disease Detection - Background and Context.mp4 12.5 MB
3. Foundations of Statistics and Probability for Machine Learning (Janani Ravi, 2021)/4. Performing Regression Analysis/6. Demo - Preprocessing Data for Multiple Regression.mp4 12.4 MB
2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/4. Applying Data-driven Decision Making/2. Case Study - Digital Gaming Platform.mp4 12.4 MB

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【压缩文件】 Deep Purple - Machine Head 1973 (2003 SACD ISO)

收录时间:2017-02-08 文档个数:20 文档大小:4.0 GB 最近下载:2025-05-15 人气:7514 磁力链接

Deep Purple - Machine Head.iso 4.0 GB
Scans/machine head 09.jpg 992.0 kB
Scans/machine head 08.jpg 872.0 kB
Scans/machine head 10.jpg 867.3 kB
Scans/machine head 05.jpg 835.5 kB
Scans/machine head 07.jpg 823.9 kB
Scans/machine head 04.jpg 804.0 kB
Scans/machine head 01.jpg 803.7 kB
Scans/machine head 03.jpg 783.6 kB
Scans/machine head 12.jpg 774.3 kB
Scans/machine head 06.jpg 766.1 kB
Scans/machine head 14.jpg 752.6 kB
Scans/machine head 11.jpg 740.3 kB
Scans/machine head 13.jpg 739.6 kB
Scans/machine head 02.jpg 621.5 kB
Cover/DeepPurple_MachineHead_Cover_Back.jpg 570.6 kB
Cover/Disc.jpg 173.5 kB
Cover/DeepPurple_MachineHead_Cover.jpg 130.3 kB
folder.jpg 26.5 kB
foo_dr.txt 1.2 kB

猜你喜欢： SACD Head Purple 1973 Deep Machine 2003 ISO

【压缩文件】 Pluralsight Path. Building Machine Learning Solutions with scikit-learn (2019)

收录时间:2023-12-17 文档个数:820 文档大小:3.1 GB 最近下载:2025-05-16 人气:7443 磁力链接

C2. Scaling scikit-learn Solutions (Janani Ravi, 2019)/exercise.7z 140.7 MB
B1. Building Neural Networks with scikit-learn (Janani Ravi, 2019)/exercise.7z 96.2 MB
C1. Preparing Data for Modeling with scikit-learn (Janani Ravi, 2019)/exercise.7z 47.5 MB
A1. Building Your First scikit-learn Solution (Janani Ravi, 2019)/2. Exploring scikit-learn for Machine Learning/07. Exploring scikit-learn Libraries.mp4 37.6 MB
A2. Building Classification Models with scikit-learn (Janani Ravi, 2019)/exercise.7z 30.4 MB
C3. Model Evaluation and Selection Using scikit-learn (Chetan Prabhu, 2019)/5. Model Selection Techniques/1. Model Selection Techniques.mp4 27.8 MB
B2. Reducing Dimensions in Data with scikit-learn (Janani Ravi, 2019)/exercise.7z 24.5 MB
C3. Model Evaluation and Selection Using scikit-learn (Chetan Prabhu, 2019)/3. Evaluation Methods for Classification Models/7. Demo.mp4 21.1 MB
C3. Model Evaluation and Selection Using scikit-learn (Chetan Prabhu, 2019)/2. What Is Model Evaluation and Selection/1. Model Evaluation and Selection.mp4 21.0 MB
C1. Preparing Data for Modeling with scikit-learn (Janani Ravi, 2019)/6. Working with Specialized Datasets/3. Exploring Internal Datasets.mp4 19.6 MB
A4. Building Clustering Models with scikit-learn (Janani Ravi, 2019)/2. Building a Simple Clustering Model in scikit-learn/09. Evaluating K-means Clustering.mp4 18.9 MB
C1. Preparing Data for Modeling with scikit-learn (Janani Ravi, 2019)/7. Performing Kernel Approximations/5. Comparing Classifiers Trained Using Implicit and Explict Features.mp4 18.5 MB
C2. Scaling scikit-learn Solutions (Janani Ravi, 2019)/3. Observing the Factors Affecting Prediction Latency/06. Demo - Observing the Influence of Model Complexity.mp4 18.2 MB
C1. Preparing Data for Modeling with scikit-learn (Janani Ravi, 2019)/6. Working with Specialized Datasets/4. Creating Artificial Datasets for Regression, Classification, Clustering, and Dimensionality Reduc.mp4 18.1 MB
C1. Preparing Data for Modeling with scikit-learn (Janani Ravi, 2019)/6. Working with Specialized Datasets/5. Generating Manifold Data.mp4 17.2 MB
C1. Preparing Data for Modeling with scikit-learn (Janani Ravi, 2019)/5. Preparing Image Data for Machine Learning/5. Using Dictionary Learning to Denoise and Reconstruct Images.mp4 17.2 MB
A3. Building Regression Models with scikit-learn (Janani Ravi, 2019)/3. Building a Simple Linear Model/2. Simple Linear Regression.mp4 17.0 MB
C1. Preparing Data for Modeling with scikit-learn (Janani Ravi, 2019)/5. Preparing Image Data for Machine Learning/6. Clustering Image Data Using a Pixel Connectivity Graph.mp4 16.9 MB
C2. Scaling scikit-learn Solutions (Janani Ravi, 2019)/5. Implementing Multicore Parallelism in scikit-learn/08. Demo - Preparing Data for Multi-label Classification.mp4 16.8 MB
C1. Preparing Data for Modeling with scikit-learn (Janani Ravi, 2019)/3. Understanding and Implementing Novelty and Outlier Detection/07. Outlier Detection Using Local Outlier Factor.mp4 16.2 MB

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【压缩文件】 Deep Purple - Machine Head (SACD-R)

收录时间:2017-02-20 文档个数:2 文档大小:4.0 GB 最近下载:2025-05-16 人气:7270 磁力链接

Head.iso 4.0 GB
sacd_log.txt 2.4 kB

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【压缩文件】 [FreeCoursesOnline.Me] Coursera - Machine Learning on Google Cloud Specialization (Google Cloud Training)

收录时间:2023-12-26 文档个数:9 文档大小:1.4 GB 最近下载:2025-05-15 人气:7164 磁力链接

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5. Art-science-ml.zip 198.2 MB
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