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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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Learn PySpark

. You'll then see how to schedule different spark jobs using Airflow with PySpark and book examine tuning machine and deep learning models for real;

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Learn PySpark

platforms. You'll then see how to schedule different spark jobs using Airflow with PySpark and book examine tuning machine and deep learning;

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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

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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PySpark Cookbook

, machine learning, and analytics using PySpark Overcome challenges in developing and deploying Spark solutions using Python Explore recipes for;

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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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Learning PySpark

train machine learning models * Build machine learning models with MLlib and ML * Learn how to submit your applications programmatically using;

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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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PySpark SQL Recipes

Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides;

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Beginning MLOps with MLFlow

of hyperparameter tuning with a validation data set. You will explore three different deployment setups of machine learning models with varying levels;

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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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Machine Learning with SAP

Work smarter with machine learning! Begin with core machine learning concepts-types of learning, algorithms, data preparation, and more;

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Practical Machine Learning with Python

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world;

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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

Prepare to achieve AWS Machine Learning Specialty certification with this complete, up-to-date guide and take the exam with confidence;

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Practical Machine Learning with Rust

"Explore machine learning in Rust and learn about the intricacies of creating machine learning applications"--;

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Machine Learning with scikit-learn Quick Start Guide

learning environment with scikit-learn. To put scikit-learn to use, you will learn how to implement various supervised and unsupervised machine;

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Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning

skills and knowledge needed to prepare data for analysis with Azure Machine Learning; find key variables describing your data's behavior; develop;

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Machine Learning with R

Solve real-world data problems with R and machine learning Key Features Third edition of the bestselling, widely acclaimed R machine;

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Python

deep learning algorithms * Increase predictive accuracy with deep learning and scalable data-handling techniques * Work with modern state;

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Introduction to Machine Learning with Python

machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You'll learn;

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Crt020: Spark Certification Guide PySpark: By HadoopExam.com

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Practical Automated Machine Learning on Azure Using Azure Machine Learning to Quickly Build AI Solutions

Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you'll learn how to;

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Machine Learning Using R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition;

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Machine Learning with the Elastic Stack

Discover expert techniques for combining machine learning with the analytic capabilities of Elastic Stack and uncover actionable insights;

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Machine Learning Applications Using Python

domains (healthcare, finance, and retail). Each section starts with an overview of machine learning and key technological advancements in that;

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