Learn PySpark Build Python-based Machine Learning and Deep Learning Models /

• Κύριος συγγραφέας: Singh, Pramod (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Python (Computer program language).; Big data.; Machine learning.; Open source software.; Computer programming.; Python.; Big Data.; Machine Learning.; Open Source.

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to learn to use this language to perform exploratory data analysis and solve an array of business challenges. You'll start by reviewing PySpark fundamentals,...

Πίνακας περιεχομένων:

• Chapter 1: Introduction to PySpark
• Chapter 2: Data Processing
• Chapter 3: Spark Structured Streaming
• Chapter 4: Airflow
• Chapter 5: Machine Learning Library (MLlib)
• Chapter 6: Supervised Machine Learning
• Chapter 7: Unsupervised Machine Learning
• Chapter 8: Deep Learning Using PySpark.