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Learn PySpark
learn to use this language to perform exploratory data analysis and solve an array of business challenges. You'll start by reviewing PySpark;
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Learn PySpark
Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to;
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PySpark SQL Recipes
, including creating dataframes using data from different file formats as well as from SQL or NoSQL databases. What You Will Learn Understand PySpark;
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Applied Data Science Using PySpark
Discover the capabilities of PySpark and its application in the realm of data science. This comprehensive guide with hand-picked examples;
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Applied Data Science Using PySpark
scientists and machine learning and deep learning engineers who want to learn and use PySpark for real-time analysis of streaming data.;
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Machine Learning with PySpark
Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business;
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PySpark Cookbook
applications. What you will learn Configure a local instance of PySpark in a virtual environment Install and configure Jupyter in local and multi-node;
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Hands-On Big Data Analytics with PySpark
learn how to source data from all popular data hosting platforms, including HDFS, Hive, JSON, and S3, and deal with large datasets with PySpark;
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Learning PySpark
environment for Spark. You will get familiar with the modules available in PySpark. You will learn how to abstract data with RDDs and DataFrames and;
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Crt020: Spark Certification Guide PySpark: By HadoopExam.com
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Beginning MLOps with MLFlow
the target variable. You will learn how to build logistic regression models in scikit-learn and PySpark, and you will go through the process;
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Advanced Data Analytics Using Python
Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;
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Advanced Data Analytics Using Python
Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;
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Python High Performance -
Learn how to use Python to create efficient applications About This Book * Identify the bottlenecks in your applications and solve;
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Advanced Python Programming
a cluster using Dask and PySpark Master skills to accurately implement concurrency in your code Gain practical experience of Python design;
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Data Science Solutions with Python
in-memory, distributed cluster computing framework known as PySpark, machine learning framework platforms known as scikit-learn, PySpark MLlib, H2O;
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The Azure Data Lakehouse Toolkit
Snowflake. You will learn to write efficient PySpark code for batch and streaming ELT jobs on Azure. And you will follow along with practical;
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Scala and Spark for Big Data Analytics
deployment. You will also learn how to develop Spark applications using SparkR and PySpark APIs, interactive data analytics using Zeppelin, and;
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Optimizing Databricks Workloads
contains an opportunity to learn about some of the real-world scenarios where optimizing workloads in Databricks has helped organizations increase;
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse
building data platforms Learn how to ingest, process, and analyze data that can be later used for training machine learning models Understand how;
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Learn Technology, Learn the Computer, Learn Your Desktop (the L3)
Learn Technology, Learn the Computer, Learn Your Desktop (the L3) is een boek van Joko Austin Bryant;
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Learn Science, Learn Math, Learn to Teach Science and Math, Homo Sapiens!
ISBN Learn Science Learn Math Learn to Teach Science and Math Homo Sapiens!. Type boekomslag: Paperback, Geschreven door: Hedy Moscovici;
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Learn Science, Learn Math, Learn to Teach Science and Math, Homo Sapiens!
ISBN Learn Science Learn Math Learn to Teach Science and Math Homo Sapiens!. Type boekomslag: Hardcover, Geschreven door: Hedy Moscovici;
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It Ain'T Okay to Fail
he learned. The recent graduate will learn about the potholes along his career path and painlessly avoid them. The middle manager will learn;
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Einde inhoud
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