[CourseClub.Me] Pluralsight - Building Machine Learning Solutions With Java - Learning Paths - 磁力管家

BT种子名称

分享给好友

BT种子基本信息

种子哈希：d5a11062e05d4f36b8f828b54b5b34b2d7d771b2
文档大小：1.7 GB
文档个数：268个文档
下载次数：1570次
下载速度：极快
收录时间：2024-01-10
最近下载：2025-05-15
DMCA/屏蔽：DMCA/屏蔽

下载磁力链接

magnet:?xt=urn:btih:D5A11062E05D4F36B8F828B54B5B34B2D7D771B2
复制磁力链接到utorrent、Bitcomet、迅雷、115、百度网盘等下载工具进行下载。

下载BT种子

磁力链接种子下载迅雷下载二维码迅雷看看
磁力链接在线播放？试试百度云网盘离线下载播放！

[CourseClub.Me] Pluralsight - Building Machine Learning Solutions With Java - Learning Paths的二维码

文档列表

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
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/09. Demo - Performing Clustering and Evaluating Clustering Models.mp4 22.1 MB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/13. Demo - Serializing and Visualizing a Decision Tree Model.mp4 21.9 MB
2. Exploring Java Machine Learning Environments/4. Implementing a Machine Learning Workflow with DL4J/5. Demo - Implementing a Twitter Sentiment Classifier with DL4J.mp4 21.4 MB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/10. Demo - Processing and Saving Processed Data.mp4 21.3 MB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/1. Demo - Normalizing and Visualizing Data.mp4 21.0 MB
1. Preparing Data for Machine Learning with Java/4. Data Cleaning Using Regex and Formatter/5. Demo - Data Cleaning Pipeline.mp4 20.6 MB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/06. Demo - Exploring the Dataset.mp4 20.0 MB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/12. Demo - Train a Model with Normalized Data.mp4 19.5 MB
2. Exploring Java Machine Learning Environments/5. Implementing a Machine Learning Workflow with Spark MLlib/3. Demo - Data Preprocessing with Spark MLlib.mp4 19.3 MB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/07. Demo - Training and Evaluating a Regression Model.mp4 19.0 MB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/06. Demo - Performing Predictions Using the Classification Model.mp4 18.2 MB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/11. Demo - Assign Roles and Perform Attribute Selection.mp4 17.3 MB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/04. Demo - Building and Training a Regression Model.mp4 17.1 MB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/09. Demo - Using a Pretrained Model for Image Segmentation.mp4 16.8 MB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/02. Demo - Getting Set up with a Maven Project.mp4 16.8 MB
2. Exploring Java Machine Learning Environments/2. Understanding the Java Machine Learning Ecosystem/5. Demo - Spark MLlib Showcase.mp4 16.7 MB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/07. Demo - Build and Evaluate a Linear Regression Model.mp4 16.4 MB
2. Exploring Java Machine Learning Environments/3. Implementing a Machine Learning Workflow with Weka/5. Demo - Evaluation and Visualization with Programmatic Weka.mp4 16.2 MB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/11. Demo - Making Predictions Using a Deployed Model.mp4 16.1 MB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/05. Demo - Exploring the Weka Workbench.mp4 15.7 MB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/10. Demo - Evaluate a Model Using Cross-validation.mp4 15.7 MB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/5. Demo - Performing Hierarchical Clustering.mp4 15.7 MB
1. Preparing Data for Machine Learning with Java/2. Ingesting Data from Files in Various Formats/1. Introduction.mp4 15.6 MB
2. Exploring Java Machine Learning Environments/2. Understanding the Java Machine Learning Ecosystem/4. Demo - Deeplearning4j (DL4J) Showcase.mp4 15.5 MB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/06. Demo - Loading and Exploring the Dataset.mp4 15.4 MB
3. Implementing Machine Learning Workflow with Weka/3. Implementing Classification Models/3. Demo - Building and Visualizing a Decision Tree Model.mp4 15.4 MB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/10. Demo - Serializing and Deserializing Trained Models.mp4 15.0 MB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/1. Introduction.mp4 14.6 MB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/04. Demo - Building a Fully Connected Neural Network for Image Classifica.mp4 14.2 MB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/6. Demo - Deploying Beam SDK Pipelines to GCP Dataflow.mp4 14.2 MB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/08. Demo - Using a Pretrained Model for Image Classification.mp4 13.7 MB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/05. Demo - Setting up a Repository and Importing Data.mp4 13.4 MB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/7. Demo - Serializing Trained Model Parameters.mp4 13.2 MB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/2. Demo - Performing K-means Clustering.mp4 13.0 MB
2. Exploring Java Machine Learning Environments/4. Implementing a Machine Learning Workflow with DL4J/2. Demo - Data Preparation and Loading with DL4J (Part 1 - Setup).mp4 12.8 MB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/06. Demo - Training and Evaluating a Ridge Regression Model.mp4 12.7 MB
2. Exploring Java Machine Learning Environments/5. Implementing a Machine Learning Workflow with Spark MLlib/2. Demo - Data Preparation and Loading with Spark MLlib.mp4 12.7 MB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/05. Demo - Evaluating a Regression Model.mp4 12.7 MB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/1. Introduction.mp4 12.6 MB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/12. Demo - Regression Using Support Vector Machines and Multilayer Perceptrons.mp4 12.4 MB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/11. Demo - Answering Questions with Google BERT.mp4 12.3 MB
1. Preparing Data for Machine Learning with Java/4. Data Cleaning Using Regex and Formatter/1. Introduction.mp4 12.3 MB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/09. Demo - Perform Attribute Selection.mp4 11.9 MB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/04. Demo - Environment and Project Setup.mp4 11.7 MB
1. Preparing Data for Machine Learning with Java/2. Ingesting Data from Files in Various Formats/3. Ingesting CSV and Excel Files.mp4 11.5 MB
2. Exploring Java Machine Learning Environments/3. Implementing a Machine Learning Workflow with Weka/6. Demo - The Full Workflow in One Go with Weka GUI.mp4 11.4 MB
2. Exploring Java Machine Learning Environments/2. Understanding the Java Machine Learning Ecosystem/3. Demo - Weka Showcase.mp4 10.9 MB
2. Exploring Java Machine Learning Environments/3. Implementing a Machine Learning Workflow with Weka/2. Demo - Data Preparation and Loading with Programmatic Weka.mp4 10.9 MB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/04. Demo - Download and Setup RapidMiner.mp4 10.9 MB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/08. Demo - Train Model on Training Data and Evaluate Using T.mp4 10.8 MB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/6. Demo - Performing EM Clustering.mp4 10.8 MB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/4. Demo - Exploring and Visualizing Data.mp4 10.4 MB
1. Preparing Data for Machine Learning with Java/5. Data Transformation/3. Scaling, Data Skew, and Data Bias.mp4 10.3 MB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/2. Folder Monitoring.mp4 10.1 MB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/4. Beam SDK Engines and GCP Dataflow.mp4 9.9 MB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/05. Demo - Training the Image Classification Model.mp4 9.4 MB
1. Preparing Data for Machine Learning with Java/4. Data Cleaning Using Regex and Formatter/2. Lambdas and Streams.mp4 9.2 MB
1. Preparing Data for Machine Learning with Java/4. Data Cleaning Using Regex and Formatter/4. Using Regular Expressions in Java.mp4 8.9 MB
2. Exploring Java Machine Learning Environments/5. Implementing a Machine Learning Workflow with Spark MLlib/1. Introduction.mp4 8.8 MB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/11. Demo - Evaluating a Model Using Cross Validation.mp4 8.1 MB
1. Preparing Data for Machine Learning with Java/5. Data Transformation/1. Introduction.mp4 7.9 MB
1. Preparing Data for Machine Learning with Java/2. Ingesting Data from Files in Various Formats/4. Ingesting JSON and XML Files.mp4 7.9 MB
2. Exploring Java Machine Learning Environments/3. Implementing a Machine Learning Workflow with Weka/1. Introduction.mp4 7.9 MB
2. Exploring Java Machine Learning Environments/5. Implementing a Machine Learning Workflow with Spark MLlib/5. Demo - Performance and Evaluation and Visualization with Spark .mp4 7.8 MB
1. Preparing Data for Machine Learning with Java/4. Data Cleaning Using Regex and Formatter/3. Regular Expressions Overview.mp4 7.8 MB
1. Preparing Data for Machine Learning with Java/5. Data Transformation/2. Data Transformation Basics.mp4 7.8 MB
2. Exploring Java Machine Learning Environments/4. Implementing a Machine Learning Workflow with DL4J/1. Introduction.mp4 7.6 MB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/3. Beam SDK Concepts.mp4 7.2 MB
2. Exploring Java Machine Learning Environments/4. Implementing a Machine Learning Workflow with DL4J/6. Demo - Performance and Evaluation and Visualization with DL4J.mp4 6.9 MB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/7. Demo - Using the Selenium IDE.mp4 6.9 MB
2. Exploring Java Machine Learning Environments/2. Understanding the Java Machine Learning Ecosystem/2. Introduction.mp4 6.8 MB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/08. Demo - Building and Evaluating a Decision Tree Classification Model.mp4 6.7 MB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/07. Brief Overview of Transfer Learning.mp4 6.5 MB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/3. Task Scheduling.mp4 6.4 MB
2. Exploring Java Machine Learning Environments/5. Implementing a Machine Learning Workflow with Spark MLlib/4. Demo - Implementing an Image Classifier with Spark MLlib.mp4 6.0 MB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/6. Selenium.mp4 5.9 MB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/2. Distributed Data Pipelines.mp4 5.9 MB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/01. Introducing DJL.mp4 5.7 MB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/01. Introducing JSAT.mp4 5.6 MB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/03. Demo - Setting up the Maven Project and Dependencies.mp4 5.5 MB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/02. Brief Overview of Neural Networks.mp4 5.4 MB
1. Preparing Data for Machine Learning with Java/1. Course Overview/1. Course Overview.mp4 4.9 MB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/03. Introducing RapidMiner.mp4 4.6 MB
4. Implementing Machine Learning Workflow with RapidMiner/exercise.zip 4.6 MB
2. Exploring Java Machine Learning Environments/3. Implementing a Machine Learning Workflow with Weka/3. Demo - Data Preprocessing with Programmatic Weka.mp4 4.3 MB
4. Implementing Machine Learning Workflow with RapidMiner/1. Course Overview/1. Course Overview.mp4 4.2 MB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/03. Introducing Weka.mp4 4.2 MB
3. Implementing Machine Learning Workflow with Weka/1. Course Overview/1. Course Overview.mp4 4.2 MB
2. Exploring Java Machine Learning Environments/1. Course Overview/1. Course Overview.mp4 4.0 MB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/02. Prerequisites and Course Outline.mp4 4.0 MB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/02. Prerequisites and Course Outline.mp4 3.8 MB
2. Exploring Java Machine Learning Environments/3. Implementing a Machine Learning Workflow with Weka/4. Demo - Implementing K-means with Programmatic Weka.mp4 3.8 MB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/8. Wrap Up.mp4 2.9 MB
2. Exploring Java Machine Learning Environments/2. Understanding the Java Machine Learning Ecosystem/6. Summary.mp4 2.7 MB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/9. Summary and Further Study.mp4 2.7 MB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/12. Summary and Further Study.mp4 2.6 MB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/10. Introducing Google BERT.mp4 2.4 MB
3. Implementing Machine Learning Workflow with Weka/exercise.zip 2.3 MB
1. Preparing Data for Machine Learning with Java/2. Ingesting Data from Files in Various Formats/2. What Is Data Preparation.mp4 2.0 MB
2. Exploring Java Machine Learning Environments/4. Implementing a Machine Learning Workflow with DL4J/7. Summary.mp4 1.2 MB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/9. Summary.mp4 1.1 MB
1. Preparing Data for Machine Learning with Java/2. Ingesting Data from Files in Various Formats/6. Summary.mp4 1.1 MB
2. Exploring Java Machine Learning Environments/3. Implementing a Machine Learning Workflow with Weka/7. Summary.mp4 1.0 MB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/7. Summary.mp4 977.8 kB
2. Exploring Java Machine Learning Environments/5. Implementing a Machine Learning Workflow with Spark MLlib/6. Summary.mp4 966.0 kB
1. Preparing Data for Machine Learning with Java/5. Data Transformation/5. Summary.mp4 837.8 kB
1. Preparing Data for Machine Learning with Java/4. Data Cleaning Using Regex and Formatter/6. Summary.mp4 655.5 kB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/01. Version Check.mp4 559.6 kB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/01. Version Check.mp4 528.6 kB
2. Exploring Java Machine Learning Environments/2. Understanding the Java Machine Learning Ecosystem/1. Version Check.mp4 384.9 kB
2. Exploring Java Machine Learning Environments/4. Implementing a Machine Learning Workflow with DL4J/4. Demo - Data Preprocessing with DL4J.vtt 10.2 kB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/06. Demo - Exploring the Dataset.vtt 10.2 kB
3. Implementing Machine Learning Workflow with Weka/3. Implementing Classification Models/5. Demo - Performing Classification on Text Data.vtt 10.1 kB
1. Preparing Data for Machine Learning with Java/5. Data Transformation/4. Demo - Data Transformation Pipeline.vtt 10.0 kB
1. Preparing Data for Machine Learning with Java/5. Data Transformation/3. Scaling, Data Skew, and Data Bias.vtt 9.6 kB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/8. Demo - Deploying a Model Using SpringBoot.vtt 9.5 kB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/09. Demo - Feature Selection and Ranking.vtt 9.4 kB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/2. Folder Monitoring.vtt 9.2 kB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/4. Beam SDK Engines and GCP Dataflow.vtt 9.2 kB
3. Implementing Machine Learning Workflow with Weka/3. Implementing Classification Models/1. Demo - Feature Selection and Data Processing.vtt 9.1 kB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/12. Demo - Train a Model with Normalized Data.vtt 9.1 kB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/06. Demo - Performing Predictions Using the Classification Model.vtt 9.0 kB
1. Preparing Data for Machine Learning with Java/4. Data Cleaning Using Regex and Formatter/2. Lambdas and Streams.vtt 8.9 kB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/13. Demo - Serializing and Visualizing a Decision Tree Model.vtt 8.9 kB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/1. Demo - Normalizing and Visualizing Data.vtt 8.7 kB
1. Preparing Data for Machine Learning with Java/2. Ingesting Data from Files in Various Formats/3. Ingesting CSV and Excel Files.vtt 8.7 kB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/04. Demo - Building a Fully Connected Neural Network for Image Classifica.vtt 8.7 kB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/5. Demo - Developing Beam SDK Pipelines.vtt 8.6 kB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/09. Demo - Performing Clustering and Evaluating Clustering Models.vtt 8.6 kB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/11. Demo - Making Predictions Using a Deployed Model.vtt 8.5 kB
3. Implementing Machine Learning Workflow with Weka/3. Implementing Classification Models/2. Demo - Building and Evaluating a Classification Model.vtt 8.4 kB
1. Preparing Data for Machine Learning with Java/2. Ingesting Data from Files in Various Formats/5. Demo - Ingestion.vtt 8.4 kB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/07. Demo - Building and Evaluating a Logistic Regression Classification .vtt 8.3 kB
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.vtt 8.3 kB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/4. Demo - Using the File Watcher API.vtt 8.2 kB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/3. Demo - Visualizing Cluster Assignments.vtt 8.0 kB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/07. Demo - Build and Evaluate a Linear Regression Model.vtt 7.8 kB
1. Preparing Data for Machine Learning with Java/4. Data Cleaning Using Regex and Formatter/5. Demo - Data Cleaning Pipeline.vtt 7.7 kB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/8. Demo - Coding for Selenium.vtt 7.7 kB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/11. Demo - Assign Roles and Perform Attribute Selection.vtt 7.5 kB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/05. Demo - Exploring the Weka Workbench.vtt 7.4 kB
1. Preparing Data for Machine Learning with Java/4. Data Cleaning Using Regex and Formatter/4. Using Regular Expressions in Java.vtt 7.4 kB
3. Implementing Machine Learning Workflow with Weka/3. Implementing Classification Models/4. Demo - Encoding Text Data in Numeric Form.vtt 7.3 kB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/03. Demo - Loading and Exploring Data.vtt 7.2 kB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/07. Demo - Training and Evaluating a Regression Model.vtt 7.1 kB
2. Exploring Java Machine Learning Environments/5. Implementing a Machine Learning Workflow with Spark MLlib/3. Demo - Data Preprocessing with Spark MLlib.vtt 7.1 kB
1. Preparing Data for Machine Learning with Java/5. Data Transformation/2. Data Transformation Basics.vtt 7.1 kB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/08. Demo - Training and Evaluating a Multiple Regression Model.vtt 7.1 kB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/5. Demo - Performing Hierarchical Clustering.vtt 7.0 kB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/09. Demo - Using a Pretrained Model for Image Segmentation.vtt 7.0 kB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/5. Demo - Using the Quartz Scheduler Library.vtt 7.0 kB
2. Exploring Java Machine Learning Environments/4. Implementing a Machine Learning Workflow with DL4J/1. Introduction.vtt 6.7 kB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/10. Demo - Evaluate a Model Using Cross-validation.vtt 6.5 kB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/04. Demo - Building and Training a Regression Model.vtt 6.4 kB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/6. Demo - Deploying Beam SDK Pipelines to GCP Dataflow.vtt 6.4 kB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/10. Demo - Processing and Saving Processed Data.vtt 6.3 kB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/08. Demo - Using a Pretrained Model for Image Classification.vtt 6.2 kB
2. Exploring Java Machine Learning Environments/5. Implementing a Machine Learning Workflow with Spark MLlib/2. Demo - Data Preparation and Loading with Spark MLlib.vtt 6.0 kB
2. Exploring Java Machine Learning Environments/4. Implementing a Machine Learning Workflow with DL4J/5. Demo - Implementing a Twitter Sentiment Classifier with DL4J.vtt 6.0 kB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/02. Demo - Getting Set up with a Maven Project.vtt 5.9 kB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/05. Demo - Setting up a Repository and Importing Data.vtt 5.9 kB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/04. Demo - Environment and Project Setup.vtt 5.7 kB
2. Exploring Java Machine Learning Environments/2. Understanding the Java Machine Learning Ecosystem/3. Demo - Weka Showcase.vtt 5.7 kB
1. Preparing Data for Machine Learning with Java/2. Ingesting Data from Files in Various Formats/4. Ingesting JSON and XML Files.vtt 5.7 kB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/3. Beam SDK Concepts.vtt 5.7 kB
2. Exploring Java Machine Learning Environments/3. Implementing a Machine Learning Workflow with Weka/1. Introduction.vtt 5.6 kB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/10. Demo - Serializing and Deserializing Trained Models.vtt 5.6 kB
2. Exploring Java Machine Learning Environments/3. Implementing a Machine Learning Workflow with Weka/6. Demo - The Full Workflow in One Go with Weka GUI.vtt 5.6 kB
2. Exploring Java Machine Learning Environments/2. Understanding the Java Machine Learning Ecosystem/2. Introduction.vtt 5.5 kB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/09. Demo - Perform Attribute Selection.vtt 5.5 kB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/06. Demo - Loading and Exploring the Dataset.vtt 5.4 kB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/2. Demo - Performing K-means Clustering.vtt 5.3 kB
1. Preparing Data for Machine Learning with Java/4. Data Cleaning Using Regex and Formatter/3. Regular Expressions Overview.vtt 5.3 kB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/04. Demo - Download and Setup RapidMiner.vtt 5.3 kB
2. Exploring Java Machine Learning Environments/4. Implementing a Machine Learning Workflow with DL4J/2. Demo - Data Preparation and Loading with DL4J (Part 1 - Setup).vtt 5.3 kB
2. Exploring Java Machine Learning Environments/5. Implementing a Machine Learning Workflow with Spark MLlib/1. Introduction.vtt 5.3 kB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/2. Distributed Data Pipelines.vtt 5.3 kB
3. Implementing Machine Learning Workflow with Weka/3. Implementing Classification Models/3. Demo - Building and Visualizing a Decision Tree Model.vtt 5.2 kB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/06. Demo - Training and Evaluating a Ridge Regression Model.vtt 5.2 kB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/11. Demo - Answering Questions with Google BERT.vtt 5.2 kB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/12. Demo - Regression Using Support Vector Machines and Multilayer Perceptrons.vtt 5.1 kB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/6. Demo - Performing EM Clustering.vtt 5.1 kB
2. Exploring Java Machine Learning Environments/2. Understanding the Java Machine Learning Ecosystem/4. Demo - Deeplearning4j (DL4J) Showcase.vtt 5.1 kB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/6. Selenium.vtt 5.1 kB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/08. Demo - Train Model on Training Data and Evaluate Using T.vtt 5.0 kB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/05. Demo - Evaluating a Regression Model.vtt 4.9 kB
2. Exploring Java Machine Learning Environments/3. Implementing a Machine Learning Workflow with Weka/5. Demo - Evaluation and Visualization with Programmatic Weka.vtt 4.9 kB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/3. Task Scheduling.vtt 4.8 kB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/05. Demo - Training the Image Classification Model.vtt 4.8 kB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/4. Demo - Exploring and Visualizing Data.vtt 4.7 kB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/07. Brief Overview of Transfer Learning.vtt 4.7 kB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/7. Demo - Serializing Trained Model Parameters.vtt 4.6 kB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/01. Introducing DJL.vtt 4.6 kB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/01. Introducing JSAT.vtt 4.5 kB
2. Exploring Java Machine Learning Environments/2. Understanding the Java Machine Learning Ecosystem/5. Demo - Spark MLlib Showcase.vtt 4.4 kB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/02. Brief Overview of Neural Networks.vtt 4.4 kB
2. Exploring Java Machine Learning Environments/3. Implementing a Machine Learning Workflow with Weka/2. Demo - Data Preparation and Loading with Programmatic Weka.vtt 4.1 kB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/03. Introducing RapidMiner.vtt 3.9 kB
1. Preparing Data for Machine Learning with Java/2. Ingesting Data from Files in Various Formats/1. Introduction.vtt 3.9 kB
4. Implementing Machine Learning Workflow with RapidMiner/playlist.m3u 3.8 kB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/1. Introduction.vtt 3.6 kB
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/02. Prerequisites and Course Outline.vtt 3.6 kB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/02. Prerequisites and Course Outline.vtt 3.4 kB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/03. Introducing Weka.vtt 3.4 kB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/1. Introduction.vtt 3.2 kB
4. Implementing Machine Learning Workflow with RapidMiner/1. Course Overview/1. Course Overview.vtt 3.2 kB
3. Implementing Machine Learning Workflow with Weka/1. Course Overview/1. Course Overview.vtt 3.2 kB
1. Preparing Data for Machine Learning with Java/4. Data Cleaning Using Regex and Formatter/1. Introduction.vtt 3.0 kB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/11. Demo - Evaluating a Model Using Cross Validation.vtt 2.7 kB
2. Exploring Java Machine Learning Environments/2. Understanding the Java Machine Learning Ecosystem/6. Summary.vtt 2.7 kB
2. Exploring Java Machine Learning Environments/playlist.m3u 2.6 kB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/08. Demo - Building and Evaluating a Decision Tree Classification Model.vtt 2.6 kB
2. Exploring Java Machine Learning Environments/4. Implementing a Machine Learning Workflow with DL4J/6. Demo - Performance and Evaluation and Visualization with DL4J.vtt 2.6 kB
2. Exploring Java Machine Learning Environments/5. Implementing a Machine Learning Workflow with Spark MLlib/4. Demo - Implementing an Image Classifier with Spark MLlib.vtt 2.6 kB
2. Exploring Java Machine Learning Environments/5. Implementing a Machine Learning Workflow with Spark MLlib/5. Demo - Performance and Evaluation and Visualization with Spark .vtt 2.6 kB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/7. Demo - Using the Selenium IDE.vtt 2.5 kB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/9. Summary and Further Study.vtt 2.5 kB
2. Exploring Java Machine Learning Environments/1. Course Overview/1. Course Overview.vtt 2.4 kB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/12. Summary and Further Study.vtt 2.4 kB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/03. Demo - Setting up the Maven Project and Dependencies.vtt 2.4 kB
1. Preparing Data for Machine Learning with Java/2. Ingesting Data from Files in Various Formats/2. What Is Data Preparation.vtt 2.4 kB
1. Preparing Data for Machine Learning with Java/playlist.m3u 2.3 kB
3. Implementing Machine Learning Workflow with Weka/playlist.m3u 2.3 kB
4. Implementing Machine Learning Workflow with RapidMiner/04. Using DJL to Implement Machine Learning Models/10. Introducing Google BERT.vtt 2.2 kB
1. Preparing Data for Machine Learning with Java/5. Data Transformation/1. Introduction.vtt 2.1 kB
1. Preparing Data for Machine Learning with Java/1. Course Overview/1. Course Overview.vtt 1.7 kB
2. Exploring Java Machine Learning Environments/3. Implementing a Machine Learning Workflow with Weka/3. Demo - Data Preprocessing with Programmatic Weka.vtt 1.7 kB
2. Exploring Java Machine Learning Environments/3. Implementing a Machine Learning Workflow with Weka/4. Demo - Implementing K-means with Programmatic Weka.vtt 1.4 kB
1. Preparing Data for Machine Learning with Java/2. Ingesting Data from Files in Various Formats/6. Summary.vtt 1.2 kB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/9. Summary.vtt 1.2 kB
2. Exploring Java Machine Learning Environments/4. Implementing a Machine Learning Workflow with DL4J/7. Summary.vtt 1.1 kB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/7. Summary.vtt 880 Bytes
2. Exploring Java Machine Learning Environments/3. Implementing a Machine Learning Workflow with Weka/7. Summary.vtt 880 Bytes
1. Preparing Data for Machine Learning with Java/5. Data Transformation/5. Summary.vtt 838 Bytes
2. Exploring Java Machine Learning Environments/5. Implementing a Machine Learning Workflow with Spark MLlib/6. Summary.vtt 804 Bytes
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/8. Wrap Up.vtt 639 Bytes
1. Preparing Data for Machine Learning with Java/4. Data Cleaning Using Regex and Formatter/6. Summary.vtt 585 Bytes
0. Websites you may like/[CourseClub.Me].url 122 Bytes
1. Preparing Data for Machine Learning with Java/[CourseClub.Me].url 122 Bytes
4. Implementing Machine Learning Workflow with RapidMiner/[CourseClub.Me].url 122 Bytes
[CourseClub.Me].url 122 Bytes
0. Websites you may like/[GigaCourse.Com].url 49 Bytes
1. Preparing Data for Machine Learning with Java/[GigaCourse.Com].url 49 Bytes
4. Implementing Machine Learning Workflow with RapidMiner/[GigaCourse.Com].url 49 Bytes
[GigaCourse.Com].url 49 Bytes
2. Exploring Java Machine Learning Environments/2. Understanding the Java Machine Learning Ecosystem/1. Version Check.vtt 7 Bytes
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/01. Version Check.vtt 7 Bytes
4. Implementing Machine Learning Workflow with RapidMiner/02. Implementing Machine Learning Models with RapidMiner Studio/01. Version Check.vtt 7 Bytes

==查看完整文档列表==

下一个：aavv38.xyz@230ORECO-532 2.3 GB

24小时热门磁力链接

本周热门磁力链接

种子标签

Learning Me Building Pluralsight Java CourseClub Paths Machine Solutions

种子评价

优质的种子 (0) 假种子 (0) 有密码 (0) 低质量 (0) 有病毒 (0) 无法下载 (0)
欢迎对种子质量进行评价。

人气女优

北川ゆい Akira COCOLO Saiko あいだももあさのくるみあまいれもんいしかわ愛里いとうしいなうさみ恭香うちだまひろかぐやひめかとりこのみかないかほくすのき琴美クミコグレースくらもとまい（葉月ありさ）さとみ中村あみしいな純菜しのざきさとみ（三沢亜也）牧本千幸（つかもと友希）眞木ありさデヴィテラパトリックドミニカともさかまいともさか愛なごみもえひなこ

分享BT种子/磁力链接

亲，你知道吗？下载的人越多速度越快，赶快把本页面分享给好友一起下载吧^_^

磁力管家