Pluralsight Path. ML with Java (2021)

Creation Time	Sept. 24, 2024, 7:35 a.m.
Last Access Time	April 13, 2025, 5:02 a.m.
File Size	1.5 GB
Keywords	Pluralsight Java ML 2021 Path with
Total Requests	136
Total Files	270
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/exercise.7z 38.5 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/5. Data Transformation/4. Demo - Data Transformation Pipeline.mp4 34.4 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/6. Data Preparation at Scale/5. Demo - Developing Beam SDK Pipelines.mp4 34.2 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/4. Implementing a Machine Learning Workflow with DL4J/4. Demo - Data Preprocessing with DL4J.mp4 32.0 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/2. Ingesting Data from Files in Various Formats/5. Demo - Ingestion.mp4 28.7 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/4. Implementing a Machine Learning Workflow with DL4J/3. Demo - Data Preparation and Loading with DL4J (Part 2 - DL4J DataSetIt.mp4 28.1 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/8. Demo - Coding for Selenium.mp4 27.0 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/4. Demo - Using the File Watcher API.mp4 26.0 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/3. Demo - Visualizing Cluster Assignments.mp4 24.8 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/08. Demo - Training and Evaluating a Multiple Regression Model.mp4 24.8 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/5. Demo - Using the Quartz Scheduler Library.mp4 24.7 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/3. Implementing Classification Models/5. Demo - Performing Classification on Text Data.mp4 23.7 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/09. Demo - Feature Selection and Ranking.mp4 23.1 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/3. Implementing Classification Models/4. Demo - Encoding Text Data in Numeric Form.mp4 22.9 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/3. Implementing Classification Models/2. Demo - Building and Evaluating a Classification Model.mp4 22.4 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/8. Demo - Deploying a Model Using SpringBoot.mp4 21.8 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/07. Demo - Building and Evaluating a Logistic Regression Classification .mp4 21.7 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/3. Implementing Classification Models/1. Demo - Feature Selection and Data Processing.mp4 21.2 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/03. Demo - Loading and Exploring Data.mp4 21.1 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/09. Demo - Performing Clustering and Evaluating Clustering Models.mp4 21.1 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/13. Demo - Serializing and Visualizing a Decision Tree Model.mp4 20.9 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/4. Implementing a Machine Learning Workflow with DL4J/5. Demo - Implementing a Twitter Sentiment Classifier with DL4J.mp4 20.4 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/10. Demo - Processing and Saving Processed Data.mp4 20.3 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/1. Demo - Normalizing and Visualizing Data.mp4 20.1 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/4. Data Cleaning Using Regex and Formatter/5. Demo - Data Cleaning Pipeline.mp4 19.6 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/06. Demo - Exploring the Dataset.mp4 19.1 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/12. Demo - Train a Model with Normalized Data.mp4 18.6 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/5. Implementing a Machine Learning Workflow with Spark MLlib/3. Demo - Data Preprocessing with Spark MLlib.mp4 18.4 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/07. Demo - Training and Evaluating a Regression Model.mp4 18.1 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/06. Demo - Performing Predictions Using the Classification Model.mp4 17.4 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/exercise.7z 16.6 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/11. Demo - Assign Roles and Perform Attribute Selection.mp4 16.5 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/04. Demo - Building and Training a Regression Model.mp4 16.3 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/09. Demo - Using a Pretrained Model for Image Segmentation.mp4 16.1 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/02. Demo - Getting Set up with a Maven Project.mp4 16.1 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/2. Understanding the Java Machine Learning Ecosystem/5. Demo - Spark MLlib Showcase.mp4 16.0 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/07. Demo - Build and Evaluate a Linear Regression Model.mp4 15.7 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/3. Implementing a Machine Learning Workflow with Weka/5. Demo - Evaluation and Visualization with Programmatic Weka.mp4 15.5 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/11. Demo - Making Predictions Using a Deployed Model.mp4 15.3 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/05. Demo - Exploring the Weka Workbench.mp4 15.0 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/10. Demo - Evaluate a Model Using Cross-validation.mp4 15.0 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/5. Demo - Performing Hierarchical Clustering.mp4 14.9 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/2. Ingesting Data from Files in Various Formats/1. Introduction.mp4 14.9 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/2. Understanding the Java Machine Learning Ecosystem/4. Demo - Deeplearning4j (DL4J) Showcase.mp4 14.8 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/06. Demo - Loading and Exploring the Dataset.mp4 14.7 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/3. Implementing Classification Models/3. Demo - Building and Visualizing a Decision Tree Model.mp4 14.7 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/10. Demo - Serializing and Deserializing Trained Models.mp4 14.3 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/6. Data Preparation at Scale/1. Introduction.mp4 13.9 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/04. Demo - Building a Fully Connected Neural Network for Image Classifica.mp4 13.6 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/6. Data Preparation at Scale/6. Demo - Deploying Beam SDK Pipelines to GCP Dataflow.mp4 13.5 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/08. Demo - Using a Pretrained Model for Image Classification.mp4 13.1 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/05. Demo - Setting up a Repository and Importing Data.mp4 12.7 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/7. Demo - Serializing Trained Model Parameters.mp4 12.6 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/2. Demo - Performing K-means Clustering.mp4 12.4 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/4. Implementing a Machine Learning Workflow with DL4J/2. Demo - Data Preparation and Loading with DL4J (Part 1 - Setup).mp4 12.2 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/06. Demo - Training and Evaluating a Ridge Regression Model.mp4 12.1 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/5. Implementing a Machine Learning Workflow with Spark MLlib/2. Demo - Data Preparation and Loading with Spark MLlib.mp4 12.1 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/05. Demo - Evaluating a Regression Model.mp4 12.1 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/1. Introduction.mp4 12.1 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/12. Demo - Regression Using Support Vector Machines and Multilayer Perceptrons.mp4 11.9 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/11. Demo - Answering Questions with Google BERT.mp4 11.7 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/4. Data Cleaning Using Regex and Formatter/1. Introduction.mp4 11.7 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/09. Demo - Perform Attribute Selection.mp4 11.3 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/04. Demo - Environment and Project Setup.mp4 11.2 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/2. Ingesting Data from Files in Various Formats/3. Ingesting CSV and Excel Files.mp4 11.0 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/3. Implementing a Machine Learning Workflow with Weka/6. Demo - The Full Workflow in One Go with Weka GUI.mp4 10.9 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/2. Understanding the Java Machine Learning Ecosystem/3. Demo - Weka Showcase.mp4 10.4 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/3. Implementing a Machine Learning Workflow with Weka/2. Demo - Data Preparation and Loading with Programmatic Weka.mp4 10.4 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/04. Demo - Download and Setup RapidMiner.mp4 10.4 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/08. Demo - Train Model on Training Data and Evaluate Using T.mp4 10.3 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/6. Demo - Performing EM Clustering.mp4 10.3 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/4. Demo - Exploring and Visualizing Data.mp4 10.0 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/5. Data Transformation/3. Scaling, Data Skew, and Data Bias.mp4 9.8 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/2. Folder Monitoring.mp4 9.6 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/6. Data Preparation at Scale/4. Beam SDK Engines and GCP Dataflow.mp4 9.5 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/05. Demo - Training the Image Classification Model.mp4 9.0 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/4. Data Cleaning Using Regex and Formatter/2. Lambdas and Streams.mp4 8.8 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/4. Data Cleaning Using Regex and Formatter/4. Using Regular Expressions in Java.mp4 8.5 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/5. Implementing a Machine Learning Workflow with Spark MLlib/1. Introduction.mp4 8.4 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/11. Demo - Evaluating a Model Using Cross Validation.mp4 7.8 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/5. Data Transformation/1. Introduction.mp4 7.6 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/2. Ingesting Data from Files in Various Formats/4. Ingesting JSON and XML Files.mp4 7.5 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/3. Implementing a Machine Learning Workflow with Weka/1. Introduction.mp4 7.5 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/5. Implementing a Machine Learning Workflow with Spark MLlib/5. Demo - Performance and Evaluation and Visualization with Spark.mp4 7.5 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/4. Data Cleaning Using Regex and Formatter/3. Regular Expressions Overview.mp4 7.5 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/5. Data Transformation/2. Data Transformation Basics.mp4 7.4 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/4. Implementing a Machine Learning Workflow with DL4J/1. Introduction.mp4 7.3 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/6. Data Preparation at Scale/3. Beam SDK Concepts.mp4 6.9 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/4. Implementing a Machine Learning Workflow with DL4J/6. Demo - Performance and Evaluation and Visualization with DL4J.mp4 6.6 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/7. Demo - Using the Selenium IDE.mp4 6.6 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/2. Understanding the Java Machine Learning Ecosystem/2. Introduction.mp4 6.4 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/08. Demo - Building and Evaluating a Decision Tree Classification Model.mp4 6.4 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/07. Brief Overview of Transfer Learning.mp4 6.2 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/3. Task Scheduling.mp4 6.1 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/5. Implementing a Machine Learning Workflow with Spark MLlib/4. Demo - Implementing an Image Classifier with Spark MLlib.mp4 5.7 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/6. Selenium.mp4 5.7 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/6. Data Preparation at Scale/2. Distributed Data Pipelines.mp4 5.6 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/01. Introducing DJL.mp4 5.5 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/01. Introducing JSAT.mp4 5.3 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/03. Demo - Setting up the Maven Project and Dependencies.mp4 5.3 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/02. Brief Overview of Neural Networks.mp4 5.1 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/1. Course Overview/1. Course Overview.mp4 4.7 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/03. Introducing RapidMiner.mp4 4.4 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/3. Implementing a Machine Learning Workflow with Weka/3. Demo - Data Preprocessing with Programmatic Weka.mp4 4.1 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.mp4 4.0 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/03. Introducing Weka.mp4 4.0 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.mp4 4.0 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/1. Course Overview/1. Course Overview.mp4 3.9 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/02. Prerequisites and Course Outline.mp4 3.8 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/02. Prerequisites and Course Outline.mp4 3.6 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/3. Implementing a Machine Learning Workflow with Weka/4. Demo - Implementing K-means with Programmatic Weka.mp4 3.6 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/exercise.7z 3.5 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/6. Data Preparation at Scale/8. Wrap Up.mp4 2.8 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/2. Understanding the Java Machine Learning Ecosystem/6. Summary.mp4 2.6 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/9. Summary and Further Study.mp4 2.6 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/12. Summary and Further Study.mp4 2.5 MB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/10. Introducing Google BERT.mp4 2.3 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/2. Ingesting Data from Files in Various Formats/2. What Is Data Preparation.mp4 1.9 MB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/exercise.7z 1.2 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/4. Implementing a Machine Learning Workflow with DL4J/7. Summary.mp4 1.1 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/9. Summary.mp4 1.1 MB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/2. Ingesting Data from Files in Various Formats/6. Summary.mp4 1.0 MB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/3. Implementing a Machine Learning Workflow with Weka/7. Summary.mp4 1006.7 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/6. Data Preparation at Scale/7. Summary.mp4 954.9 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/5. Implementing a Machine Learning Workflow with Spark MLlib/6. Summary.mp4 943.4 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/5. Data Transformation/5. Summary.mp4 818.2 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/4. Data Cleaning Using Regex and Formatter/6. Summary.mp4 640.1 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/01. Version Check.mp4 546.5 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/01. Version Check.mp4 516.2 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/cover.jpg 465.5 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/cover.jpg 455.6 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/cover.jpg 427.3 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/2. Understanding the Java Machine Learning Ecosystem/1. Version Check.mp4 375.8 KB
scr 2024-05.png 110.7 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/cover.jpg 90.6 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/4. Implementing a Machine Learning Workflow with DL4J/4. Demo - Data Preprocessing with DL4J.vtt 9.9 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/06. Demo - Exploring the Dataset.vtt 9.9 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/3. Implementing Classification Models/5. Demo - Performing Classification on Text Data.vtt 9.8 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/5. Data Transformation/4. Demo - Data Transformation Pipeline.vtt 9.7 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/5. Data Transformation/3. Scaling, Data Skew, and Data Bias.vtt 9.4 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/8. Demo - Deploying a Model Using SpringBoot.vtt 9.3 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/09. Demo - Feature Selection and Ranking.vtt 9.2 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/2. Folder Monitoring.vtt 9.0 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/6. Data Preparation at Scale/4. Beam SDK Engines and GCP Dataflow.vtt 9.0 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/3. Implementing Classification Models/1. Demo - Feature Selection and Data Processing.vtt 8.9 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/12. Demo - Train a Model with Normalized Data.vtt 8.9 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/06. Demo - Performing Predictions Using the Classification Model.vtt 8.8 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/4. Data Cleaning Using Regex and Formatter/2. Lambdas and Streams.vtt 8.7 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/13. Demo - Serializing and Visualizing a Decision Tree Model.vtt 8.7 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/1. Demo - Normalizing and Visualizing Data.vtt 8.5 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/2. Ingesting Data from Files in Various Formats/3. Ingesting CSV and Excel Files.vtt 8.5 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/04. Demo - Building a Fully Connected Neural Network for Image Classifica.vtt 8.5 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/6. Data Preparation at Scale/5. Demo - Developing Beam SDK Pipelines.vtt 8.4 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/09. Demo - Performing Clustering and Evaluating Clustering Models.vtt 8.4 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/11. Demo - Making Predictions Using a Deployed Model.vtt 8.3 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/3. Implementing Classification Models/2. Demo - Building and Evaluating a Classification Model.vtt 8.2 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/2. Ingesting Data from Files in Various Formats/5. Demo - Ingestion.vtt 8.2 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/07. Demo - Building and Evaluating a Logistic Regression Classification .vtt 8.1 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/4. Implementing a Machine Learning Workflow with DL4J/3. Demo - Data Preparation and Loading with DL4J (Part 2 - DL4J DataSetIt.vtt 8.1 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/4. Demo - Using the File Watcher API.vtt 8.0 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/3. Demo - Visualizing Cluster Assignments.vtt 7.8 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/07. Demo - Build and Evaluate a Linear Regression Model.vtt 7.6 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/4. Data Cleaning Using Regex and Formatter/5. Demo - Data Cleaning Pipeline.vtt 7.5 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/8. Demo - Coding for Selenium.vtt 7.5 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/11. Demo - Assign Roles and Perform Attribute Selection.vtt 7.4 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/05. Demo - Exploring the Weka Workbench.vtt 7.3 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/4. Data Cleaning Using Regex and Formatter/4. Using Regular Expressions in Java.vtt 7.2 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/3. Implementing Classification Models/4. Demo - Encoding Text Data in Numeric Form.vtt 7.1 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/03. Demo - Loading and Exploring Data.vtt 7.0 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/07. Demo - Training and Evaluating a Regression Model.vtt 7.0 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/5. Implementing a Machine Learning Workflow with Spark MLlib/3. Demo - Data Preprocessing with Spark MLlib.vtt 6.9 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/08. Demo - Training and Evaluating a Multiple Regression Model.vtt 6.9 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/5. Data Transformation/2. Data Transformation Basics.vtt 6.9 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/09. Demo - Using a Pretrained Model for Image Segmentation.vtt 6.9 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/5. Demo - Performing Hierarchical Clustering.vtt 6.9 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/5. Demo - Using the Quartz Scheduler Library.vtt 6.8 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/4. Implementing a Machine Learning Workflow with DL4J/1. Introduction.vtt 6.5 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/10. Demo - Evaluate a Model Using Cross-validation.vtt 6.3 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/04. Demo - Building and Training a Regression Model.vtt 6.2 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/6. Data Preparation at Scale/6. Demo - Deploying Beam SDK Pipelines to GCP Dataflow.vtt 6.2 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/10. Demo - Processing and Saving Processed Data.vtt 6.1 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/08. Demo - Using a Pretrained Model for Image Classification.vtt 6.0 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/5. Implementing a Machine Learning Workflow with Spark MLlib/2. Demo - Data Preparation and Loading with Spark MLlib.vtt 5.9 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/4. Implementing a Machine Learning Workflow with DL4J/5. Demo - Implementing a Twitter Sentiment Classifier with DL4J.vtt 5.9 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/02. Demo - Getting Set up with a Maven Project.vtt 5.8 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/05. Demo - Setting up a Repository and Importing Data.vtt 5.7 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/04. Demo - Environment and Project Setup.vtt 5.6 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/2. Ingesting Data from Files in Various Formats/4. Ingesting JSON and XML Files.vtt 5.6 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/2. Understanding the Java Machine Learning Ecosystem/3. Demo - Weka Showcase.vtt 5.5 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/6. Data Preparation at Scale/3. Beam SDK Concepts.vtt 5.5 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/3. Implementing a Machine Learning Workflow with Weka/1. Introduction.vtt 5.5 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/10. Demo - Serializing and Deserializing Trained Models.vtt 5.4 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/3. Implementing a Machine Learning Workflow with Weka/6. Demo - The Full Workflow in One Go with Weka GUI.vtt 5.4 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/2. Understanding the Java Machine Learning Ecosystem/2. Introduction.vtt 5.4 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/09. Demo - Perform Attribute Selection.vtt 5.4 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/06. Demo - Loading and Exploring the Dataset.vtt 5.2 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/2. Demo - Performing K-means Clustering.vtt 5.2 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/4. Data Cleaning Using Regex and Formatter/3. Regular Expressions Overview.vtt 5.2 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/04. Demo - Download and Setup RapidMiner.vtt 5.2 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/4. Implementing a Machine Learning Workflow with DL4J/2. Demo - Data Preparation and Loading with DL4J (Part 1 - Setup).vtt 5.2 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/5. Implementing a Machine Learning Workflow with Spark MLlib/1. Introduction.vtt 5.2 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/6. Data Preparation at Scale/2. Distributed Data Pipelines.vtt 5.1 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/3. Implementing Classification Models/3. Demo - Building and Visualizing a Decision Tree Model.vtt 5.1 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/06. Demo - Training and Evaluating a Ridge Regression Model.vtt 5.1 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/11. Demo - Answering Questions with Google BERT.vtt 5.0 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/12. Demo - Regression Using Support Vector Machines and Multilayer Perceptrons.vtt 5.0 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/6. Demo - Performing EM Clustering.vtt 5.0 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/2. Understanding the Java Machine Learning Ecosystem/4. Demo - Deeplearning4j (DL4J) Showcase.vtt 5.0 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/6. Selenium.vtt 5.0 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/08. Demo - Train Model on Training Data and Evaluate Using T.vtt 4.9 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/05. Demo - Evaluating a Regression Model.vtt 4.8 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/3. Implementing a Machine Learning Workflow with Weka/5. Demo - Evaluation and Visualization with Programmatic Weka.vtt 4.7 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/3. Task Scheduling.vtt 4.7 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/05. Demo - Training the Image Classification Model.vtt 4.7 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/07. Brief Overview of Transfer Learning.vtt 4.6 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/4. Demo - Exploring and Visualizing Data.vtt 4.6 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/7. Demo - Serializing Trained Model Parameters.vtt 4.5 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/01. Introducing DJL.vtt 4.5 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/01. Introducing JSAT.vtt 4.4 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/2. Understanding the Java Machine Learning Ecosystem/5. Demo - Spark MLlib Showcase.vtt 4.3 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/02. Brief Overview of Neural Networks.vtt 4.3 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/3. Implementing a Machine Learning Workflow with Weka/2. Demo - Data Preparation and Loading with Programmatic Weka.vtt 4.0 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/03. Introducing RapidMiner.vtt 3.8 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/2. Ingesting Data from Files in Various Formats/1. Introduction.vtt 3.8 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/playlist.m3u 3.7 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/6. Data Preparation at Scale/1. Introduction.vtt 3.5 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/02. Prerequisites and Course Outline.vtt 3.5 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/02. Prerequisites and Course Outline.vtt 3.3 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/03. Introducing Weka.vtt 3.3 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/1. Introduction.vtt 3.1 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.vtt 3.1 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.vtt 3.1 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/4. Data Cleaning Using Regex and Formatter/1. Introduction.vtt 2.9 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/11. Demo - Evaluating a Model Using Cross Validation.vtt 2.6 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/2. Understanding the Java Machine Learning Ecosystem/6. Summary.vtt 2.6 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/playlist.m3u 2.6 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/3. Using JSAT to Implement Machine Learning Models/08. Demo - Building and Evaluating a Decision Tree Classification Model.vtt 2.5 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/4. Implementing a Machine Learning Workflow with DL4J/6. Demo - Performance and Evaluation and Visualization with DL4J.vtt 2.5 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/5. Implementing a Machine Learning Workflow with Spark MLlib/4. Demo - Implementing an Image Classifier with Spark MLlib.vtt 2.5 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/5. Implementing a Machine Learning Workflow with Spark MLlib/5. Demo - Performance and Evaluation and Visualization with Spark.vtt 2.5 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/7. Demo - Using the Selenium IDE.vtt 2.5 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/4. Implementing Clustering Models/9. Summary and Further Study.vtt 2.5 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/1. Course Overview/1. Course Overview.vtt 2.4 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/12. Summary and Further Study.vtt 2.4 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/03. Demo - Setting up the Maven Project and Dependencies.vtt 2.3 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/2. Ingesting Data from Files in Various Formats/2. What Is Data Preparation.vtt 2.3 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/playlist.m3u 2.3 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/playlist.m3u 2.3 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/~i.txt 2.2 KB
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/4. Using DJL to Implement Machine Learning Models/10. Introducing Google BERT.vtt 2.1 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/5. Data Transformation/1. Introduction.vtt 2.0 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/1. Course Overview/1. Course Overview.vtt 1.7 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/3. Implementing a Machine Learning Workflow with Weka/3. Demo - Data Preprocessing with Programmatic Weka.vtt 1.7 KB
~i.txt 1.5 KB
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/~i.txt 1.5 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/3. Implementing a Machine Learning Workflow with Weka/4. Demo - Implementing K-means with Programmatic Weka.vtt 1.4 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/~i.txt 1.3 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/~i.txt 1.3 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/2. Ingesting Data from Files in Various Formats/6. Summary.vtt 1.2 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/3. Automating Data Collection and Scheduling/9. Summary.vtt 1.2 KB
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/4. Implementing a Machine Learning Workflow with DL4J/7. Summary.vtt 1.0 KB
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/6. Data Preparation at Scale/7. Summary.vtt 880 bytes
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/3. Implementing a Machine Learning Workflow with Weka/7. Summary.vtt 880 bytes
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/5. Data Transformation/5. Summary.vtt 834 bytes
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/5. Implementing a Machine Learning Workflow with Spark MLlib/6. Summary.vtt 800 bytes
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/6. Data Preparation at Scale/8. Wrap Up.vtt 639 bytes
A1. Preparing Data for Machine Learning with Java (Federico Mestrone, 2020)/4. Data Cleaning Using Regex and Formatter/6. Summary.vtt 585 bytes
B1. Exploring Java Machine Learning Environments (Nicolae Caprarescu, 2021)/2. Understanding the Java Machine Learning Ecosystem/1. Version Check.vtt 7 bytes
C1. Implementing Machine Learning Workflow with Weka (Janani Ravi, 2020)/2. Implementing Regression Models/01. Version Check.vtt 7 bytes
C2. Implementing Machine Learning Workflow with RapidMiner (Janani Ravi, 2020)/2. Implementing Machine Learning Models with RapidMiner Studio/01. Version Check.vtt 7 bytes

Pluralsight Path. ML with Java (2021)

File List

Download Torrent

Related Resources

Copyright Infringement