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2. Exploring Java Machine Learning Environments/exercise.zip 86.3 MB
1. Preparing Data for Machine Learning with Java/5. Data Transformation/4. Demo - Data Transformation Pipeline.mp4 36.0 MB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/5. Demo - Developing Beam SDK Pipelines.mp4 35.9 MB
2. Exploring Java Machine Learning Environments/4. Implementing a Machine Learning Workflow with DL4J/4. Demo - Data Preprocessing with DL4J.mp4 33.5 MB
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1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/4. Demo - Using the File Watcher API.mp4 27.2 MB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/3. Demo - Visualizing Cluster Assignments.mp4 26.0 MB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/08. Demo - Training and Evaluating a Multiple Regression Model.mp4 26.0 MB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/5. Demo - Using the Quartz Scheduler Library.mp4 25.9 MB
3. Implementing Machine Learning Workflow with Weka/3. Implementing Classification Models/5. Demo - Performing Classification on Text Data.mp4 24.9 MB
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【压缩文件】 [FreeCourseSite.com] Udemy - AWS Certified Solutions Architect Associate Training SAA-C03

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【压缩文件】 [FreeCourseSite.com] Udemy -Ultimate AWS Certified Solutions Architect Professional 2022

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【压缩文件】 [CourseClub.Me] Pluralsight - Building Machine Learning Solutions With Java - Learning Paths

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2. Exploring Java Machine Learning Environments/exercise.zip 86.3 MB
1. Preparing Data for Machine Learning with Java/5. Data Transformation/4. Demo - Data Transformation Pipeline.mp4 36.0 MB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/5. Demo - Developing Beam SDK Pipelines.mp4 35.9 MB
2. Exploring Java Machine Learning Environments/4. Implementing a Machine Learning Workflow with DL4J/4. Demo - Data Preprocessing with DL4J.mp4 33.5 MB
1. Preparing Data for Machine Learning with Java/2. Ingesting Data from Files in Various Formats/5. Demo - Ingestion.mp4 30.1 MB
2. Exploring Java Machine Learning Environments/4. Implementing a Machine Learning Workflow with DL4J/3. Demo - Data Preparation and Loading with DL4J (Part 2 - DL4J DataSetIt.mp4 29.5 MB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/8. Demo - Coding for Selenium.mp4 28.3 MB
1. Preparing Data for Machine Learning with Java/exercise.zip 27.3 MB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/4. Demo - Using the File Watcher API.mp4 27.2 MB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/3. Demo - Visualizing Cluster Assignments.mp4 26.0 MB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/08. Demo - Training and Evaluating a Multiple Regression Model.mp4 26.0 MB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/5. Demo - Using the Quartz Scheduler Library.mp4 25.9 MB
3. Implementing Machine Learning Workflow with Weka/3. Implementing Classification Models/5. Demo - Performing Classification on Text Data.mp4 24.9 MB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/09. Demo - Feature Selection and Ranking.mp4 24.2 MB
3. Implementing Machine Learning Workflow with Weka/3. Implementing Classification Models/4. Demo - Encoding Text Data in Numeric Form.mp4 24.0 MB
3. Implementing Machine Learning Workflow with Weka/3. Implementing Classification Models/2. Demo - Building and Evaluating a Classification Model.mp4 23.5 MB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/8. Demo - Deploying a Model Using SpringBoot.mp4 22.9 MB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/07. Demo - Building and Evaluating a Logistic Regression Classification .mp4 22.7 MB
3. Implementing Machine Learning Workflow with Weka/3. Implementing Classification Models/1. Demo - Feature Selection and Data Processing.mp4 22.2 MB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/03. Demo - Loading and Exploring Data.mp4 22.2 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Amazon AWS Certified Solutions Architect- Zero to Hero.zip

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【压缩文件】 [ FreeCourseWeb.com ] AWS Security Cookbook- Practical solutions for managing security policies, monitoring, auditing, and compliance with AWS.zip

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【压缩文件】 IDM.Computer.Solutions.UEStudio.v2023.1.0.19.x64-BTCR

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

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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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