Download Pluralsight | Building Machine Learning Solutions With Java - Learning Paths Torrent

Torrent Contents Size: 1.56 GB

Pluralsight | Building Machine Learning Solutions With Java - Learning Paths

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1. Preparing Data for Machine Learning with Java

1. Course Overview

	1. Course Overview.mp4	MP4	4.7 MB
	1. Course Overview.vtt	VTT	1.7 KB

2. Ingesting Data from Files in Various Formats

1. Introduction.mp4	MP4	14.9 MB
1. Introduction.vtt	VTT	3.8 KB
2. What Is Data Preparation.mp4	MP4	1.94 MB
2. What Is Data Preparation.vtt	VTT	2.31 KB
3. Ingesting CSV and Excel Files.mp4	MP4	10.97 MB
3. Ingesting CSV and Excel Files.vtt	VTT	8.52 KB
4. Ingesting JSON and XML Files.mp4	MP4	7.55 MB
4. Ingesting JSON and XML Files.vtt	VTT	5.56 KB
5. Demo - Ingestion.mp4	MP4	28.71 MB
5. Demo - Ingestion.vtt	VTT	8.23 KB
6. Summary.mp4	MP4	1.01 MB
6. Summary.vtt	VTT	1.21 KB

3. Automating Data Collection and Scheduling

1. Introduction.mp4	MP4	12.06 MB
1. Introduction.vtt	VTT	3.11 KB
2. Folder Monitoring.mp4	MP4	9.63 MB
2. Folder Monitoring.vtt	VTT	9.02 KB
3. Task Scheduling.mp4	MP4	6.11 MB
3. Task Scheduling.vtt	VTT	4.73 KB
4. Demo - Using the File Watcher API.mp4	MP4	25.96 MB
4. Demo - Using the File Watcher API.vtt	VTT	7.99 KB
5. Demo - Using the Quartz Scheduler Library.mp4	MP4	24.66 MB
5. Demo - Using the Quartz Scheduler Library.vtt	VTT	6.84 KB
6. Selenium.mp4	MP4	5.67 MB
6. Selenium.vtt	VTT	4.96 KB
7. Demo - Using the Selenium IDE.mp4	MP4	6.55 MB
7. Demo - Using the Selenium IDE.vtt	VTT	2.49 KB
8. Demo - Coding for Selenium.mp4	MP4	26.96 MB
8. Demo - Coding for Selenium.vtt	VTT	7.52 KB
9. Summary.mp4	MP4	1.05 MB
9. Summary.vtt	VTT	1.17 KB

4. Data Cleaning Using Regex and Formatter

1. Introduction.mp4	MP4	11.71 MB
1. Introduction.vtt	VTT	2.92 KB
2. Lambdas and Streams.mp4	MP4	8.77 MB
2. Lambdas and Streams.vtt	VTT	8.74 KB
3. Regular Expressions Overview.mp4	MP4	7.47 MB
3. Regular Expressions Overview.vtt	VTT	5.2 KB
4. Using Regular Expressions in Java.mp4	MP4	8.49 MB
4. Using Regular Expressions in Java.vtt	VTT	7.22 KB
5. Demo - Data Cleaning Pipeline.mp4	MP4	19.62 MB
5. Demo - Data Cleaning Pipeline.vtt	VTT	7.53 KB
6. Summary.mp4	MP4	640.11 KB
6. Summary.vtt	VTT	585 B

5. Data Transformation

1. Introduction.mp4	MP4	7.55 MB
1. Introduction.vtt	VTT	2.05 KB
2. Data Transformation Basics.mp4	MP4	7.45 MB
2. Data Transformation Basics.vtt	VTT	6.93 KB
3. Scaling, Data Skew, and Data Bias.mp4	MP4	9.83 MB
3. Scaling, Data Skew, and Data Bias.vtt	VTT	9.39 KB
4. Demo - Data Transformation Pipeline.mp4	MP4	34.37 MB
4. Demo - Data Transformation Pipeline.vtt	VTT	9.72 KB
5. Summary.mp4	MP4	818.19 KB
5. Summary.vtt	VTT	838 B

6. Data Preparation at Scale

1. Introduction.mp4	MP4	13.88 MB
1. Introduction.vtt	VTT	3.54 KB
2. Distributed Data Pipelines.mp4	MP4	5.59 MB
2. Distributed Data Pipelines.vtt	VTT	5.15 KB
3. Beam SDK Concepts.mp4	MP4	6.89 MB
3. Beam SDK Concepts.vtt	VTT	5.52 KB
4. Beam SDK Engines and GCP Dataflow.mp4	MP4	9.45 MB
4. Beam SDK Engines and GCP Dataflow.vtt	VTT	9.01 KB
5. Demo - Developing Beam SDK Pipelines.mp4	MP4	34.22 MB
5. Demo - Developing Beam SDK Pipelines.vtt	VTT	8.43 KB
6. Demo - Deploying Beam SDK Pipelines to GCP Dataflow.mp4	MP4	13.52 MB
6. Demo - Deploying Beam SDK Pipelines to GCP Dataflow.vtt	VTT	6.22 KB
7. Summary.mp4	MP4	954.93 KB
7. Summary.vtt	VTT	880 B
8. Wrap Up.mp4	MP4	2.8 MB
8. Wrap Up.vtt	VTT	639 B

exercise.zip

ZIP

25.99 MB

playlist.m3u

M3U

2.29 KB

2. Exploring Java Machine Learning Environments

1. Course Overview

	1. Course Overview.mp4	MP4	3.85 MB
	1. Course Overview.vtt	VTT	2.38 KB

2. Understanding the Java Machine Learning Ecosystem

1. Version Check.mp4	MP4	375.85 KB
1. Version Check.vtt	VTT	7 B
2. Introduction.mp4	MP4	6.44 MB
2. Introduction.vtt	VTT	5.4 KB
3. Demo - Weka Showcase.mp4	MP4	10.44 MB
3. Demo - Weka Showcase.vtt	VTT	5.56 KB
4. Demo - Deeplearning4j (DL4J) Showcase.mp4	MP4	14.78 MB
4. Demo - Deeplearning4j (DL4J) Showcase.vtt	VTT	4.97 KB
5. Demo - Spark MLlib Showcase.mp4	MP4	15.97 MB
5. Demo - Spark MLlib Showcase.vtt	VTT	4.33 KB
6. Summary.mp4	MP4	2.59 MB
6. Summary.vtt	VTT	2.59 KB

3. Implementing a Machine Learning Workflow with Weka

1. Introduction.mp4	MP4	7.52 MB
1. Introduction.vtt	VTT	5.48 KB
2. Demo - Data Preparation and Loading with Programmatic Weka.mp4	MP4	10.43 MB
2. Demo - Data Preparation and Loading with Programmatic Weka.vtt	VTT	4.03 KB
3. Demo - Data Preprocessing with Programmatic Weka.mp4	MP4	4.1 MB
3. Demo - Data Preprocessing with Programmatic Weka.vtt	VTT	1.7 KB
4. Demo - Implementing K-means with Programmatic Weka.mp4	MP4	3.61 MB
4. Demo - Implementing K-means with Programmatic Weka.vtt	VTT	1.37 KB
5. Demo - Evaluation and Visualization with Programmatic Weka.mp4	MP4	15.47 MB
5. Demo - Evaluation and Visualization with Programmatic Weka.vtt	VTT	4.74 KB
6. Demo - The Full Workflow in One Go with Weka GUI.mp4	MP4	10.88 MB
6. Demo - The Full Workflow in One Go with Weka GUI.vtt	VTT	5.43 KB
7. Summary.mp4	MP4	1006.71 KB
7. Summary.vtt	VTT	880 B

4. Implementing a Machine Learning Workflow with DL4J

1. Introduction.mp4	MP4	7.27 MB
1. Introduction.vtt	VTT	6.55 KB
2. Demo - Data Preparation and Loading with DL4J (Part 1 - Setup).mp4	MP4	12.16 MB
2. Demo - Data Preparation and Loading with DL4J (Part 1 - Setup).vtt	VTT	5.19 KB
3. Demo - Data Preparation and Loading with DL4J (Part 2 - DL4J DataSetIt.mp4	MP4	28.14 MB
3. Demo - Data Preparation and Loading with DL4J (Part 2 - DL4J DataSetIt.vtt	VTT	8.09 KB
4. Demo - Data Preprocessing with DL4J.mp4	MP4	31.98 MB
4. Demo - Data Preprocessing with DL4J.vtt	VTT	9.94 KB
5. Demo - Implementing a Twitter Sentiment Classifier with DL4J.mp4	MP4	20.44 MB
5. Demo - Implementing a Twitter Sentiment Classifier with DL4J.vtt	VTT	5.85 KB
6. Demo - Performance and Evaluation and Visualization with DL4J.mp4	MP4	6.58 MB
6. Demo - Performance and Evaluation and Visualization with DL4J.vtt	VTT	2.52 KB
7. Summary.mp4	MP4	1.12 MB
7. Summary.vtt	VTT	1.04 KB

5. Implementing a Machine Learning Workflow with Spark MLlib

1. Introduction.mp4	MP4	8.35 MB
1. Introduction.vtt	VTT	5.17 KB
2. Demo - Data Preparation and Loading with Spark MLlib.mp4	MP4	12.09 MB
2. Demo - Data Preparation and Loading with Spark MLlib.vtt	VTT	5.86 KB
3. Demo - Data Preprocessing with Spark MLlib.mp4	MP4	18.44 MB
3. Demo - Data Preprocessing with Spark MLlib.vtt	VTT	6.94 KB
4. Demo - Implementing an Image Classifier with Spark MLlib.mp4	MP4	5.68 MB
4. Demo - Implementing an Image Classifier with Spark MLlib.vtt	VTT	2.5 KB
5. Demo - Performance and Evaluation and Visualization with Spark .mp4	MP4	7.48 MB
5. Demo - Performance and Evaluation and Visualization with Spark .vtt	VTT	2.49 KB
6. Summary.mp4	MP4	943.38 KB
6. Summary.vtt	VTT	804 B

exercise.zip

ZIP

82.31 MB

playlist.m3u

M3U

2.58 KB

3. Implementing Machine Learning Workflow with Weka

02. Implementing Regression Models

01. Version Check.mp4	MP4	516.19 KB
01. Version Check.vtt	VTT	7 B
02. Prerequisites and Course Outline.mp4	MP4	3.62 MB
02. Prerequisites and Course Outline.vtt	VTT	3.29 KB
03. Introducing Weka.mp4	MP4	3.98 MB
03. Introducing Weka.vtt	VTT	3.28 KB
04. Demo - Environment and Project Setup.mp4	MP4	11.15 MB
04. Demo - Environment and Project Setup.vtt	VTT	5.6 KB
05. Demo - Exploring the Weka Workbench.mp4	MP4	14.99 MB
05. Demo - Exploring the Weka Workbench.vtt	VTT	7.26 KB
06. Demo - Loading and Exploring the Dataset.mp4	MP4	14.73 MB
06. Demo - Loading and Exploring the Dataset.vtt	VTT	5.25 KB
07. Demo - Training and Evaluating a Regression Model.mp4	MP4	18.08 MB
07. Demo - Training and Evaluating a Regression Model.vtt	VTT	6.98 KB
08. Demo - Training and Evaluating a Multiple Regression Model.mp4	MP4	24.79 MB
08. Demo - Training and Evaluating a Multiple Regression Model.vtt	VTT	6.93 KB
09. Demo - Feature Selection and Ranking.mp4	MP4	23.08 MB
09. Demo - Feature Selection and Ranking.vtt	VTT	9.16 KB
10. Demo - Processing and Saving Processed Data.mp4	MP4	20.27 MB
10. Demo - Processing and Saving Processed Data.vtt	VTT	6.12 KB
11. Demo - Evaluating a Model Using Cross Validation.mp4	MP4	7.77 MB
11. Demo - Evaluating a Model Using Cross Validation.vtt	VTT	2.63 KB
12. Demo - Regression Using Support Vector Machines and Multilayer Perceptrons.mp4	MP4	11.86 MB
12. Demo - Regression Using Support Vector Machines and Multilayer Perceptrons.vtt	VTT	5.01 KB
13. Demo - Serializing and Visualizing a Decision Tree Model.mp4	MP4	20.87 MB
13. Demo - Serializing and Visualizing a Decision Tree Model.vtt	VTT	8.67 KB

1. Course Overview

	1. Course Overview.mp4	MP4	3.97 MB
	1. Course Overview.vtt	VTT	3.08 KB

3. Implementing Classification Models

1. Demo - Feature Selection and Data Processing.mp4	MP4	21.16 MB
1. Demo - Feature Selection and Data Processing.vtt	VTT	8.9 KB
2. Demo - Building and Evaluating a Classification Model.mp4	MP4	22.4 MB
2. Demo - Building and Evaluating a Classification Model.vtt	VTT	8.23 KB
3. Demo - Building and Visualizing a Decision Tree Model.mp4	MP4	14.72 MB
3. Demo - Building and Visualizing a Decision Tree Model.vtt	VTT	5.11 KB
4. Demo - Encoding Text Data in Numeric Form.mp4	MP4	22.9 MB
4. Demo - Encoding Text Data in Numeric Form.vtt	VTT	7.08 KB
5. Demo - Performing Classification on Text Data.mp4	MP4	23.74 MB
5. Demo - Performing Classification on Text Data.vtt	VTT	9.82 KB

4. Implementing Clustering Models

1. Demo - Normalizing and Visualizing Data.mp4	MP4	20.05 MB
1. Demo - Normalizing and Visualizing Data.vtt	VTT	8.54 KB
2. Demo - Performing K-means Clustering.mp4	MP4	12.43 MB
2. Demo - Performing K-means Clustering.vtt	VTT	5.22 KB
3. Demo - Visualizing Cluster Assignments.mp4	MP4	24.84 MB
3. Demo - Visualizing Cluster Assignments.vtt	VTT	7.82 KB
4. Demo - Exploring and Visualizing Data.mp4	MP4	9.96 MB
4. Demo - Exploring and Visualizing Data.vtt	VTT	4.62 KB
5. Demo - Performing Hierarchical Clustering.mp4	MP4	14.95 MB
5. Demo - Performing Hierarchical Clustering.vtt	VTT	6.88 KB
6. Demo - Performing EM Clustering.mp4	MP4	10.26 MB
6. Demo - Performing EM Clustering.vtt	VTT	5.01 KB
7. Demo - Serializing Trained Model Parameters.mp4	MP4	12.57 MB
7. Demo - Serializing Trained Model Parameters.vtt	VTT	4.53 KB
8. Demo - Deploying a Model Using SpringBoot.mp4	MP4	21.85 MB
8. Demo - Deploying a Model Using SpringBoot.vtt	VTT	9.29 KB
9. Summary and Further Study.mp4	MP4	2.58 MB
9. Summary and Further Study.vtt	VTT	2.47 KB

exercise.zip

ZIP

2.19 MB

playlist.m3u

M3U

2.27 KB

4. Implementing Machine Learning Workflow with RapidMiner

02. Implementing Machine Learning Models with RapidMiner Studio

01. Version Check.mp4	MP4	546.45 KB
01. Version Check.vtt	VTT	7 B
02. Prerequisites and Course Outline.mp4	MP4	3.83 MB
02. Prerequisites and Course Outline.vtt	VTT	3.49 KB
03. Introducing RapidMiner.mp4	MP4	4.42 MB
03. Introducing RapidMiner.vtt	VTT	3.84 KB
04. Demo - Download and Setup RapidMiner.mp4	MP4	10.4 MB
04. Demo - Download and Setup RapidMiner.vtt	VTT	5.19 KB
05. Demo - Setting up a Repository and Importing Data.mp4	MP4	12.74 MB
05. Demo - Setting up a Repository and Importing Data.vtt	VTT	5.74 KB
06. Demo - Exploring the Dataset.mp4	MP4	19.09 MB
06. Demo - Exploring the Dataset.vtt	VTT	9.92 KB
07. Demo - Build and Evaluate a Linear Regression Model.mp4	MP4	15.66 MB
07. Demo - Build and Evaluate a Linear Regression Model.vtt	VTT	7.64 KB
08. Demo - Train Model on Training Data and Evaluate Using T.mp4	MP4	10.33 MB
08. Demo - Train Model on Training Data and Evaluate Using T.vtt	VTT	4.86 KB
09. Demo - Perform Attribute Selection.mp4	MP4	11.32 MB
09. Demo - Perform Attribute Selection.vtt	VTT	5.36 KB
10. Demo - Evaluate a Model Using Cross-validation.mp4	MP4	14.98 MB
10. Demo - Evaluate a Model Using Cross-validation.vtt	VTT	6.34 KB
11. Demo - Assign Roles and Perform Attribute Selection.mp4	MP4	16.53 MB
11. Demo - Assign Roles and Perform Attribute Selection.vtt	VTT	7.37 KB
12. Demo - Train a Model with Normalized Data.mp4	MP4	18.55 MB
12. Demo - Train a Model with Normalized Data.vtt	VTT	8.86 KB

03. Using JSAT to Implement Machine Learning Models

01. Introducing JSAT.mp4	MP4	5.31 MB
01. Introducing JSAT.vtt	VTT	4.38 KB
02. Demo - Getting Set up with a Maven Project.mp4	MP4	16.06 MB
02. Demo - Getting Set up with a Maven Project.vtt	VTT	5.76 KB
03. Demo - Loading and Exploring Data.mp4	MP4	21.14 MB
03. Demo - Loading and Exploring Data.vtt	VTT	7.02 KB
04. Demo - Building and Training a Regression Model.mp4	MP4	16.35 MB
04. Demo - Building and Training a Regression Model.vtt	VTT	6.23 KB
05. Demo - Evaluating a Regression Model.mp4	MP4	12.09 MB
05. Demo - Evaluating a Regression Model.vtt	VTT	4.82 KB
06. Demo - Training and Evaluating a Ridge Regression Model.mp4	MP4	12.13 MB
06. Demo - Training and Evaluating a Ridge Regression Model.vtt	VTT	5.09 KB
07. Demo - Building and Evaluating a Logistic Regression Classification .mp4	MP4	21.69 MB
07. Demo - Building and Evaluating a Logistic Regression Classification .vtt	VTT	8.12 KB
08. Demo - Building and Evaluating a Decision Tree Classification Model.mp4	MP4	6.38 MB
08. Demo - Building and Evaluating a Decision Tree Classification Model.vtt	VTT	2.54 KB
09. Demo - Performing Clustering and Evaluating Clustering Models.mp4	MP4	21.06 MB
09. Demo - Performing Clustering and Evaluating Clustering Models.vtt	VTT	8.38 KB
10. Demo - Serializing and Deserializing Trained Models.mp4	MP4	14.34 MB
10. Demo - Serializing and Deserializing Trained Models.vtt	VTT	5.43 KB
11. Demo - Making Predictions Using a Deployed Model.mp4	MP4	15.34 MB
11. Demo - Making Predictions Using a Deployed Model.vtt	VTT	8.27 KB

04. Using DJL to Implement Machine Learning Models

01. Introducing DJL.mp4	MP4	5.48 MB
01. Introducing DJL.vtt	VTT	4.49 KB
02. Brief Overview of Neural Networks.mp4	MP4	5.11 MB
02. Brief Overview of Neural Networks.vtt	VTT	4.33 KB
03. Demo - Setting up the Maven Project and Dependencies.mp4	MP4	5.27 MB
03. Demo - Setting up the Maven Project and Dependencies.vtt	VTT	2.32 KB
04. Demo - Building a Fully Connected Neural Network for Image Classifica.mp4	MP4	13.57 MB
04. Demo - Building a Fully Connected Neural Network for Image Classifica.vtt	VTT	8.46 KB
05. Demo - Training the Image Classification Model.mp4	MP4	8.96 MB
05. Demo - Training the Image Classification Model.vtt	VTT	4.69 KB
06. Demo - Performing Predictions Using the Classification Model.mp4	MP4	17.38 MB
06. Demo - Performing Predictions Using the Classification Model.vtt	VTT	8.82 KB
07. Brief Overview of Transfer Learning.mp4	MP4	6.2 MB
07. Brief Overview of Transfer Learning.vtt	VTT	4.61 KB
08. Demo - Using a Pretrained Model for Image Classification.mp4	MP4	13.06 MB
08. Demo - Using a Pretrained Model for Image Classification.vtt	VTT	6.04 KB
09. Demo - Using a Pretrained Model for Image Segmentation.mp4	MP4	16.06 MB
09. Demo - Using a Pretrained Model for Image Segmentation.vtt	VTT	6.88 KB
10. Introducing Google BERT.mp4	MP4	2.3 MB
10. Introducing Google BERT.vtt	VTT	2.16 KB
11. Demo - Answering Questions with Google BERT.mp4	MP4	11.74 MB
11. Demo - Answering Questions with Google BERT.vtt	VTT	5.04 KB
12. Summary and Further Study.mp4	MP4	2.5 MB
12. Summary and Further Study.vtt	VTT	2.35 KB

1. Course Overview

	1. Course Overview.mp4	MP4	4.03 MB
	1. Course Overview.vtt	VTT	3.1 KB

exercise.zip

ZIP

4.39 MB

playlist.m3u

M3U

3.73 KB

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Pluralsight | Building Machine Learning Solutions With Java - Learning Paths

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