Description: Title: Beginning Mlops with Mlflow: Deploy Models in Aws Sagemaker, Google Cloud, and Microsoft Azure Author: Alla, Sridhar Publisher: Apress Binding: Paperback Pages: 330 Dimensions: 9.21h x 6.14w x 0.72d Product Weight: 1.07 lbs. Language: English ISBN: 9781484265482 Integrate MLOps principles into existing or future projects using MLFlow, operationalize your models, and deploy them in AWS SageMaker, Google Cloud, and Microsoft Azure. This book guides you through the process of data analysis, model construction, and training.The authors begin by introducing you to basic data analysis on a credit card data set and teach you how to analyze the features and their relationships to the target variable. You will learn how to build logistic regression models in scikit-learn and PySpark, and you will go through the process of hyperparameter tuning with a validation data set. You will explore three different deployment setups of machine learning models with varying levels of automation to help you better understand MLOps. MLFlow is covered and you will explore how to integrate MLOps into your existing code, allowing you to easily track metrics, parameters, graphs, and models. You will be guided through the process of deploying and querying your models with AWS SageMaker, Google Cloud, and Microsoft Azure. And you will learn how to integrate your MLOps setups using Databricks. What You Will Learn Perform basic data analysis and construct models in scikit-learn and PySparkTrain, test, and validate your models (hyperparameter tuning)Know what MLOps is and what an ideal MLOps setup looks likeEasily integrate MLFlow into your existing or future projectsDeploy your models and perform predictions with them on the cloud Who This Book Is ForData scientists and machine learning engineers who want to learn MLOps and know how to operationalize their models Ships Fast From The USA! Authorized Dealer
Price: 59.99 USD
Location: Milwaukee, Wisconsin
End Time: 2024-11-11T18:49:47.000Z
Shipping Cost: 9.95 USD
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Book Title: Beginning Mlops with Mlflow: Deploy Models in Aws Sagemaker, Goog
Number of Pages: Xiv, 330 Pages
Publication Name: Beginning Mlops with Mlflow : Deploy Models in Aws Sagemaker, Google Cloud, and Microsoft Azure
Language: English
Publisher: Apress L. P.
Publication Year: 2020
Subject: Programming Languages / General, Probability & Statistics / General, Intelligence (Ai) & Semantics
Type: Textbook
Item Weight: 18.6 Oz
Item Length: 9.3 in
Subject Area: Mathematics, Computers
Author: Suman Kalyan Adari, Sridhar Alla
Item Width: 6.1 in
Format: Trade Paperback
