Pluralsight - Building Machine Learning Solutions With Java - Learning Paths
Language: English | Size:1.26 GB
Genre:eLearning
Files Included :
1 Course Overview.mp4 (4.7 MB)
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1 Introduction.mp4 (14.9 MB)
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2 What Is Data Preparation.mp4 (1.94 MB)
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3 Ingesting CSV and Excel Files.mp4 (10.97 MB)
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4 Ingesting JSON and XML Files.mp4 (7.55 MB)
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5 Demo - Ingestion.mp4 (28.71 MB)
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6 Summary.mp4 (1.01 MB)
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1 Introduction.mp4 (12.06 MB)
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2 Folder Monitoring.mp4 (9.63 MB)
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3 Task Scheduling.mp4 (6.11 MB)
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4 Demo - Using the File Watcher API.mp4 (25.96 MB)
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5 Demo - Using the Quartz Scheduler Library.mp4 (24.66 MB)
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6 Selenium.mp4 (5.67 MB)
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7 Demo - Using the Selenium IDE.mp4 (6.55 MB)
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8 Demo - Coding for Selenium.mp4 (26.96 MB)
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9 Summary.mp4 (1.05 MB)
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1 Introduction.mp4 (11.71 MB)
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2 Lambdas and Streams.mp4 (8.77 MB)
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3 Regular Expressions Overview.mp4 (7.47 MB)
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4 Using Regular Expressions in Java.mp4 (8.49 MB)
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5 Demo - Data Cleaning Pipeline.mp4 (19.62 MB)
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6 Summary.mp4 (640.11 KB)
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1 Introduction.mp4 (7.55 MB)
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2 Data Transformation Basics.mp4 (7.45 MB)
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3 Scaling, Data Skew, and Data Bias.mp4 (9.83 MB)
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4 Demo - Data Transformation Pipeline.mp4 (34.37 MB)
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5 Summary.mp4 (818.19 KB)
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1 Introduction.mp4 (13.88 MB)
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2 Distributed Data Pipelines.mp4 (5.59 MB)
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3 Beam SDK Concepts.mp4 (6.89 MB)
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4 Beam SDK Engines and GCP Dataflow.mp4 (9.45 MB)
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5 Demo - Developing Beam SDK Pipelines.mp4 (34.22 MB)
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6 Demo - Deploying Beam SDK Pipelines to GCP Dataflow.mp4 (13.52 MB)
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7 Summary.mp4 (954.93 KB)
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8 Wrap Up.mp4 (2.8 MB)
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1 Course Overview.mp4 (3.85 MB)
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1 Version Check.mp4 (375.85 KB)
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2 Introduction.mp4 (6.44 MB)
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3 Demo - Weka Showcase.mp4 (10.44 MB)
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4 Demo - Deeplearning4j (DL4J) Showcase.mp4 (14.78 MB)
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5 Demo - Spark MLlib Showcase.mp4 (15.97 MB)
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6 Summary.mp4 (2.59 MB)
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1 Introduction.mp4 (7.52 MB)
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2 Demo - Data Preparation and Loading with Programmatic Weka.mp4 (10.43 MB)
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3 Demo - Data Preprocessing with Programmatic Weka.mp4 (4.1 MB)
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4 Demo - Implementing K-means with Programmatic Weka.mp4 (3.61 MB)
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5 Demo - Evaluation and Visualization with Programmatic Weka.mp4 (15.47 MB)
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6 Demo - The Full Workflow in One Go with Weka GUI.mp4 (10.88 MB)
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7 Summary.mp4 (1006.71 KB)
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1 Introduction.mp4 (7.27 MB)
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2 Demo - Data Preparation and Loading with DL4J (Part 1 - Setup).mp4 (12.16 MB)
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4 Demo - Data Preprocessing with DL4J.mp4 (31.98 MB)
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5 Demo - Implementing a Twitter Sentiment Classifier with DL4J.mp4 (20.44 MB)
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6 Demo - Performance and Evaluation and Visualization with DL4J.mp4 (6.58 MB)
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7 Summary.mp4 (1.12 MB)
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1 Introduction.mp4 (8.35 MB)
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2 Demo - Data Preparation and Loading with Spark MLlib.mp4 (12.09 MB)
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3 Demo - Data Preprocessing with Spark MLlib.mp4 (18.44 MB)
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6 Summary.mp4 (943.38 KB)
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01 Version Check.mp4 (516.19 KB)
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02 Prerequisites and Course Outline.mp4 (3.62 MB)
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03 Introducing Weka.mp4 (3.98 MB)
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04 Demo - Environment and Project Setup.mp4 (11.15 MB)
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05 Demo - Exploring the Weka Workbench.mp4 (14.99 MB)
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06 Demo - Loading and Exploring the Dataset.mp4 (14.73 MB)
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07 Demo - Training and Evaluating a Regression Model.mp4 (18.08 MB)
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08 Demo - Training and Evaluating a Multiple Regression Model.mp4 (24.79 MB)
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09 Demo - Feature Selection and Ranking.mp4 (23.08 MB)
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10 Demo - Processing and Saving Processed Data.mp4 (20.27 MB)
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11 Demo - Evaluating a Model Using Cross Validation.mp4 (7.77 MB)
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12 Demo - Regression Using Support Vector Machines and Multilayer Perceptrons.mp4 (11.86 MB)
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13 Demo - Serializing and Visualizing a Decision Tree Model.mp4 (20.87 MB)
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1 Course Overview.mp4 (3.97 MB)
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1 Demo - Feature Selection and Data Processing.mp4 (21.16 MB)
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2 Demo - Building and Evaluating a Classification Model.mp4 (22.4 MB)
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3 Demo - Building and Visualizing a Decision Tree Model.mp4 (14.72 MB)
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4 Demo - Encoding Text Data in Numeric Form.mp4 (22.9 MB)
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5 Demo - Performing Classification on Text Data.mp4 (23.74 MB)
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1 Demo - Normalizing and Visualizing Data.mp4 (20.05 MB)
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2 Demo - Performing K-means Clustering.mp4 (12.43 MB)
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3 Demo - Visualizing Cluster Assignments.mp4 (24.84 MB)
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4 Demo - Exploring and Visualizing Data.mp4 (9.96 MB)
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5 Demo - Performing Hierarchical Clustering.mp4 (14.95 MB)
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6 Demo - Performing EM Clustering.mp4 (10.26 MB)
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7 Demo - Serializing Trained Model Parameters.mp4 (12.57 MB)
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8 Demo - Deploying a Model Using SpringBoot.mp4 (21.85 MB)
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9 Summary and Further Study.mp4 (2.58 MB)
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01 Version Check.mp4 (546.45 KB)
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02 Prerequisites and Course Outline.mp4 (3.83 MB)
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03 Introducing RapidMiner.mp4 (4.42 MB)
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04 Demo - download скачать and Setup RapidMiner.mp4 (10.4 MB)
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06 Demo - Exploring the Dataset.mp4 (19.09 MB)
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09 Demo - Perform Attribute Selection.mp4 (11.32 MB)
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12 Demo - Train a Model with Normalized Data.mp4 (18.55 MB)
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01 Introducing JSAT.mp4 (5.31 MB)
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02 Demo - Getting Set up with a Maven Project.mp4 (16.06 MB)
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03 Demo - Loading and Exploring Data.mp4 (21.14 MB)
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04 Demo - Building and Training a Regression Model.mp4 (16.35 MB)
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05 Demo - Evaluating a Regression Model.mp4 (12.09 MB)
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10 Demo - Serializing and Deserializing Trained Models.mp4 (14.34 MB)
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11 Demo - Making Predictions Using a Deployed Model.mp4 (15.34 MB)
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01 Introducing DJL.mp4 (5.48 MB)
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02 Brief Overview of Neural Networks.mp4 (5.11 MB)
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03 Demo - Setting up the Maven Project and Dependencies.mp4 (5.27 MB)
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05 Demo - Training the Image Classification Model.mp4 (8.96 MB)
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07 Brief Overview of Transfer Learning.mp4 (6.2 MB)
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09 Demo - Using a Pretrained Model for Image Segmentation.mp4 (16.06 MB)
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10 Introducing Google BERT.mp4 (2.3 MB)
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11 Demo - Answering Questions with Google BERT.mp4 (11.74 MB)
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12 Summary and Further Study.mp4 (2.5 MB)
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1 Course Overview.mp4 (4.03 MB)
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Pluralsight - Building Machine Learning Solutions With Java - Learning Paths.z01
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Pluralsight - Building Machine Learning Solutions With Java - Learning Paths.zip
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Pluralsight - Building Machine Learning Solutions With Java - Learning Paths.z01
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Pluralsight - Building Machine Learning Solutions With Java - Learning Paths.zip
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Pluralsight - Building Machine Learning Solutions With Java - Learning Paths.z01
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Pluralsight - Building Machine Learning Solutions With Java - Learning Paths.zip
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