TheCornor Posted December 14, 2017 Report Share Posted December 14, 2017 Training and Exporting Machine Learning Models in Spark MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 34M | 1.22 GB Genre: eLearning | Language: English Spark ML provides a rich set of tools and models for training, scoring, evaluating, and exporting machine learning models. This video walks you through each step in the process. You'll explore the basics of Spark's DataFrames, Transformer, Estimator, Pipeline, and Parameter, and how to utilize the Spark API to create model uniformity and comparability. You'll learn how to create meaningful models and labels from a raw dataset; train and score a variety of models; target price predictions; compare results using MAE, MSE, and other scores; and employ the SparkML evaluator to automate the parameter-tuning process using cross validation. To complete the lesson, you'll learn to export and serialize a Spark trained model as PMML (an industry standard for model serialization), so you can deploy in applications outside the Spark cluster environment. Gain hands-on experience in training, scoring, evaluating, and exporting machine learning models Understand how to utilize the Spark API to create model uniformity and comparability Explore feature extraction, training, scoring, and hyper-parameter tuning using Spark ML Understand how to use a model trained in Spark and deploy it in other applications DOWNLOAD uploadgig https://uploadgig.com/file/download/5519467ba7c2625e/TyxuqIAv_TrainingandExportingMachineLearningModelsinSpark.rar nitroflare http://nitroflare.com/view/B0C27516B037319/TyxuqIAv_TrainingandExportingMachineLearningModelsinSpark.rar rapidgator https://rapidgator.net/file/627f86c976965bf5b2e2c7f6303c2b0b/TyxuqIAv_TrainingandExportingMachineLearningModelsinSpark.rar.html turbobit http://turbobit.net/x0hp2jzesjns/TyxuqIAv_TrainingandExportingMachineLearningModelsinSpark.rar.html Link to comment Share on other sites More sharing options...
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