Applied Data Science Using PySpark
portes grátis
Applied Data Science Using PySpark
Learn the End-to-End Predictive Model-Building Cycle
Kakarla, Ramcharan; Dhamodharan, Balaji; Krishnan, Sundar; Gunnu, Venkata
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
11/2024
390
Mole
9798868808197
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Chapter 1: Setting up the Pyspark Environment.- Chapter 2: PySpark Basics .- Chapter 3: Variable Selection.- Chapter 4: Variable Selection.- Chapter 5: Supervised Learning Algorithms.- Chapter 6: Model Evaluation.- Chapter 7: Unsupervised Learning and Recommendation Algorithms.- Chapter 8: Machine Learning Flow and Automated Pipelines.- Chapter 9: Deploying machine learning models.- Chapter 10: Experimentation.- Chapter 11: Modeling Frameworks.
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Data science in pyspark;pyspark machine learning;machine learning in pyspark;Pyspark;Machine Learning
Chapter 1: Setting up the Pyspark Environment.- Chapter 2: PySpark Basics .- Chapter 3: Variable Selection.- Chapter 4: Variable Selection.- Chapter 5: Supervised Learning Algorithms.- Chapter 6: Model Evaluation.- Chapter 7: Unsupervised Learning and Recommendation Algorithms.- Chapter 8: Machine Learning Flow and Automated Pipelines.- Chapter 9: Deploying machine learning models.- Chapter 10: Experimentation.- Chapter 11: Modeling Frameworks.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
