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Path ML with Java (2021) - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Path ML with Java (2021) (/Thread-Path-ML-with-Java-2021) |
Path ML with Java (2021) - AD-TEAM - 12-18-2024 ![]() 1.43 GB | 00:06:23 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English
Files Included :
1 Course Overview.mp4 (4.7 MB) 1 Introduction.mp4 (14.9 MB) 2 What Is Data Preparation.mp4 (1.94 MB) 3 Ingesting CSV and Excel Files.mp4 (10.97 MB) 4 Ingesting JSON and XML Files.mp4 (7.55 MB) 5 Demo - Ingestion.mp4 (28.71 MB) 6 Summary.mp4 (1.01 MB) 1 Introduction.mp4 (12.06 MB) 2 Folder Monitoring.mp4 (9.63 MB) 3 Task Scheduling.mp4 (6.11 MB) 4 Demo - Using the File Watcher API.mp4 (25.96 MB) 5 Demo - Using the Quartz Scheduler Library.mp4 (24.66 MB) 6 Selenium.mp4 (5.67 MB) 7 Demo - Using the Selenium IDE.mp4 (6.55 MB) 8 Demo - Coding for Selenium.mp4 (26.96 MB) 9 Summary.mp4 (1.05 MB) 1 Introduction.mp4 (11.71 MB) 2 Lambdas and Streams.mp4 (8.77 MB) 3 Regular Expressions Overview.mp4 (7.47 MB) 4 Using Regular Expressions in Java.mp4 (8.49 MB) 5 Demo - Data Cleaning Pipeline.mp4 (19.62 MB) 6 Summary.mp4 (640.11 KB) 1 Introduction.mp4 (7.55 MB) 2 Data Transformation Basics.mp4 (7.45 MB) 3 Scaling, Data Skew, and Data Bias.mp4 (9.83 MB) 4 Demo - Data Transformation Pipeline.mp4 (34.37 MB) 5 Summary.mp4 (818.19 KB) 1 Introduction.mp4 (13.88 MB) 2 Distributed Data Pipelines.mp4 (5.59 MB) 3 Beam SDK Concepts.mp4 (6.89 MB) 4 Beam SDK Engines and GCP Dataflow.mp4 (9.45 MB) 5 Demo - Developing Beam SDK Pipelines.mp4 (34.22 MB) 6 Demo - Deploying Beam SDK Pipelines to GCP Dataflow.mp4 (13.52 MB) 7 Summary.mp4 (954.93 KB) 8 Wrap Up.mp4 (2.8 MB) 1 Course Overview.mp4 (3.85 MB) 1 Version Check.mp4 (375.85 KB) 2 Introduction.mp4 (6.44 MB) 3 Demo - Weka Showcase.mp4 (10.44 MB) 4 Demo - Deeplearning4j (DL4J) Showcase.mp4 (14.78 MB) 5 Demo - Spark MLlib Showcase.mp4 (15.97 MB) 6 Summary.mp4 (2.59 MB) 1 Introduction.mp4 (7.52 MB) 2 Demo - Data Preparation and Loading with Programmatic Weka.mp4 (10.43 MB) 3 Demo - Data Preprocessing with Programmatic Weka.mp4 (4.1 MB) 4 Demo - Implementing K-means with Programmatic Weka.mp4 (3.61 MB) 5 Demo - Evaluation and Visualization with Programmatic Weka.mp4 (15.47 MB) 6 Demo - The Full Workflow in One Go with Weka GUI.mp4 (10.88 MB) 7 Summary.mp4 (1006.71 KB) 1 Introduction.mp4 (7.27 MB) 2 Demo - Data Preparation and Loading with DL4J (Part 1 - Setup).mp4 (12.16 MB) 4 Demo - Data Preprocessing with DL4J.mp4 (31.98 MB) 5 Demo - Implementing a Twitter Sentiment Classifier with DL4J.mp4 (20.44 MB) 6 Demo - Performance and Evaluation and Visualization with DL4J.mp4 (6.58 MB) 7 Summary.mp4 (1.12 MB) 1 Introduction.mp4 (8.35 MB) 2 Demo - Data Preparation and Loading with Spark MLlib.mp4 (12.09 MB) 3 Demo - Data Preprocessing with Spark MLlib.mp4 (18.44 MB) 4 Demo - Implementing an Image Classifier with Spark MLlib.mp4 (5.68 MB) 6 Summary.mp4 (943.38 KB) 1 Course Overview.mp4 (3.97 MB) 01 Version Check.mp4 (516.19 KB) 02 Prerequisites and Course Outline.mp4 (3.62 MB) 03 Introducing Weka.mp4 (3.98 MB) 04 Demo - Environment and Project Setup.mp4 (11.15 MB) 05 Demo - Exploring the Weka Workbench.mp4 (14.99 MB) 06 Demo - Loading and Exploring the Dataset.mp4 (14.73 MB) 07 Demo - Training and Evaluating a Regression Model.mp4 (18.08 MB) 08 Demo - Training and Evaluating a Multiple Regression Model.mp4 (24.79 MB) 09 Demo - Feature Selection and Ranking.mp4 (23.08 MB) 10 Demo - Processing and Saving Processed Data.mp4 (20.27 MB) 11 Demo - Evaluating a Model Using Cross Validation.mp4 (7.77 MB) 12 Demo - Regression Using Support Vector Machines and Multilayer Perceptrons.mp4 (11.86 MB) 13 Demo - Serializing and Visualizing a Decision Tree Model.mp4 (20.87 MB) 1 Demo - Feature Selection and Data Processing.mp4 (21.16 MB) 2 Demo - Building and Evaluating a Classification Model.mp4 (22.4 MB) 3 Demo - Building and Visualizing a Decision Tree Model.mp4 (14.72 MB) 4 Demo - Encoding Text Data in Numeric Form.mp4 (22.9 MB) 5 Demo - Performing Classification on Text Data.mp4 (23.74 MB) 1 Demo - Normalizing and Visualizing Data.mp4 (20.05 MB) 2 Demo - Performing K-means Clustering.mp4 (12.43 MB) 3 Demo - Visualizing Cluster Assignments.mp4 (24.84 MB) 4 Demo - Exploring and Visualizing Data.mp4 (9.96 MB) 5 Demo - Performing Hierarchical Clustering.mp4 (14.95 MB) 6 Demo - Performing EM Clustering.mp4 (10.26 MB) 7 Demo - Serializing Trained Model Parameters.mp4 (12.57 MB) 8 Demo - Deploying a Model Using SpringBoot.mp4 (21.85 MB) 9 Summary and Further Study.mp4 (2.58 MB) 1 Course Overview.mp4 (4.03 MB) 01 Version Check.mp4 (546.45 KB) 02 Prerequisites and Course Outline.mp4 (3.83 MB) 03 Introducing RapidMiner.mp4 (4.42 MB) 04 Demo - Download and Setup RapidMiner.mp4 (10.4 MB) 05 Demo - Setting up a Repository and Importing Data.mp4 (12.74 MB) 06 Demo - Exploring the Dataset.mp4 (19.09 MB) 07 Demo - Build and Evaluate a Linear Regression Model.mp4 (15.66 MB) 09 Demo - Perform Attribute Selection.mp4 (11.32 MB) 10 Demo - Evaluate a Model Using Cross-validation.mp4 (14.98 MB) 11 Demo - Assign Roles and Perform Attribute Selection.mp4 (16.53 MB) 12 Demo - Train a Model with Normalized Data.mp4 (18.55 MB) 01 Introducing JSAT.mp4 (5.31 MB) 02 Demo - Getting Set up with a Maven Project.mp4 (16.06 MB) 03 Demo - Loading and Exploring Data.mp4 (21.14 MB) 04 Demo - Building and Training a Regression Model.mp4 (16.35 MB) 05 Demo - Evaluating a Regression Model.mp4 (12.09 MB) 06 Demo - Training and Evaluating a Ridge Regression Model.mp4 (12.13 MB) 08 Demo - Building and Evaluating a Decision Tree Classification Model.mp4 (6.38 MB) 09 Demo - Performing Clustering and Evaluating Clustering Models.mp4 (21.06 MB) 10 Demo - Serializing and Deserializing Trained Models.mp4 (14.34 MB) 11 Demo - Making Predictions Using a Deployed Model.mp4 (15.34 MB) 01 Introducing DJL.mp4 (5.48 MB) 02 Brief Overview of Neural Networks.mp4 (5.11 MB) 03 Demo - Setting up the Maven Project and Dependencies.mp4 (5.27 MB) 05 Demo - Training the Image Classification Model.mp4 (8.96 MB) 06 Demo - Performing Predictions Using the Classification Model.mp4 (17.38 MB) 07 Brief Overview of Transfer Learning.mp4 (6.2 MB) 08 Demo - Using a Pretrained Model for Image Classification.mp4 (13.06 MB) 09 Demo - Using a Pretrained Model for Image Segmentation.mp4 (16.06 MB) 10 Introducing Google BERT.mp4 (2.3 MB) 11 Demo - Answering Questions with Google BERT.mp4 (11.74 MB) 12 Summary and Further Study.mp4 (2.5 MB)] Screenshot ![]() |