nach der Bestellung gedruckt Neuware - Printed after ordering - Leverage DataRobot's enterprise AI platform and automated decision intelligence to extract business value from dataKey Features:Get well-versed with DataRobot features using real-world examplesUse this all-in-one platform to build, monitor, and deploy ML models for handling the entire production life cycleMake use of advanced DataRobot capabilities to programmatically build and deploy a large number of ML modelsBook Description:DataRobot enables data science teams to become more efficient and productive. This book helps you to address machine learning (ML) challenges with DataRobot's enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization.You'll begin by learning how to use DataRobot's features to perform data prep and cleansing tasks automatically. The book then covers best practices for building and deploying ML models, along with challenges faced while scaling them to handle complex business problems. Moving on, you'll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. You'll also discover how to analyze the model's predictions and turn them into actionable insights for business users. Next, you'll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, you'll find out how to operationalize and monitor the model's performance. Finally, you'll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities.By the end of this book, you'll have learned to use DataRobot's AutoML and MLOps features to scale ML model building by avoiding repetitive tasks and common errors.What You Will Learn:Understand and solve business problems using DataRobotUse DataRobot to prepare your data and perform various data analysis tasks to start building modelsDevelop robust ML models and assess their results correctly before deploymentExplore various DataRobot functions and outputs to help you understand the models and select the one that best solves the business problemAnalyze a model's predictions and turn them into actionable insights for business usersUnderstand how DataRobot helps in governing, deploying, and maintaining ML modelsWho this book is for:This book is for data scientists, data analysts, and data enthusiasts looking for a practical guide to building and deploying robust machine learning models using DataRobot. Experienced data scientists will also find this book helpful for rapidly exploring, building, and deploying a broader range of models. The book assumes a basic understanding of machine learning.

N� de ref. del art�culo 9781801076807

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo: Agile Machine Learning with DataRobot : Automate each step of the machine learning life cycle, from understanding problems to delivering value
Editor: Packt Publishing
Fecha de publicaci�n: 2021
Idioma: Ingl�s
ISBN 10: 1801076804
ISBN 13: 9781801076807
Encuadernaci�n: Taschenbuch
Estado: Neu
Dimensiones: 235�mil�metros de ancho por 191 de alto por 19 de largo
Peso: 643 gramos

Acerca de

Sinopsis

Leverage DataRobot's enterprise AI platform and automated decision intelligence to extract business value from data

Key Features

Get well-versed with DataRobot features using real-world examples
Use this all-in-one platform to build, monitor, and deploy ML models for handling the entire production life cycle
Make use of advanced DataRobot capabilities to programmatically build and deploy a large number of ML models

Book Description

DataRobot enables data science teams to become more efficient and productive. This book helps you to address machine learning (ML) challenges with DataRobot's enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization.

You'll begin by learning how to use DataRobot's features to perform data prep and cleansing tasks automatically. The book then covers best practices for building and deploying ML models, along with challenges faced while scaling them to handle complex business problems. Moving on, you'll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. You'll also discover how to analyze the model's predictions and turn them into actionable insights for business users. Next, you'll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, you'll find out how to operationalize and monitor the model's performance. Finally, you'll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities.

By the end of this book, you'll have learned to use DataRobot's AutoML and MLOps features to scale ML model building by avoiding repetitive tasks and common errors.

What you will learn

Understand and solve business problems using DataRobot
Use DataRobot to prepare your data and perform various data analysis tasks to start building models
Develop robust ML models and assess their results correctly before deployment
Explore various DataRobot functions and outputs to help you understand the models and select the one that best solves the business problem
Analyze a model's predictions and turn them into actionable insights for business users
Understand how DataRobot helps in governing, deploying, and maintaining ML models

Who this book is for

This book is for data scientists, data analysts, and data enthusiasts looking for a practical guide to building and deploying robust machine learning models using DataRobot. Experienced data scientists will also find this book helpful for rapidly exploring, building, and deploying a broader range of models. The book assumes a basic understanding of machine learning.

What Is DataRobot and Why You Need It
Machine Learning Basics
Understanding and Defining Business Problems
Preparing Data for DataRobot
Exploratory Data Analysis with DataRobot
Model Building with DataRobot
Model Understanding and Explainability
Model Scoring and Deployment
Forecasting and Time Series Modeling
Recommender Systems
Working with Geospatial Data, NLP, and Image Processing
DataRobot Python API
Model Governance and MLOps
Conclusion

Acerca del autor

Bipin Chadha is a hands-on leader of data science teams who can find innovative solutions to complex problems. He creates systemic data-driven models that enable executives to understand how their business operates, analyze a broad range of scenarios and strategies, and understand the likely implications of decisions and events prior to implementing risky changes. His passion is building data-driven cultures, developing effective teams, and driving organizations to grow and succeed.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Das Unternehmen AHA-BUCH GmbH: Seit der Gr�ndung von AHA-BUCH im Juli 2005 ist unser Hauptziel, zufriedenen Kunden so schnell und so preisg�nstig wie m�glich ihren B�cherwunsch zu erf�llen. Unsere Firma besch�ftigt 16 Mitarbeiter, die nur ein Ziel kennen: den Kunden und seine W�nsche! Auf �ber 3700 m2 Fl�che haben wir �ber 100.000 B�cher, Modernes Antiquariat und Spiele auf Lager.

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

AHA-BUCH GmbH
Garlebsen 48, Einbeck, 37574, Germany

Condiciones de venta y env�o

Condiciones de venta

T�rminos y Condiciones Generales e Informaci�n del Cliente / Pol�tica de Privacidad

I. T�rminos y Condiciones Generales

� 1 Disposiciones b�sicas

(1)Los siguientes t�rminos y condiciones se aplican a todos los contratos que celebre con nosotros como proveedor (AHA-BUCH GmbH) a trav�s de las plataformas de Internet AbeBooks y/o ZVAB. A menos que se acuerde lo contrario, se objetar� la inclusi�n de cualquiera de sus propios t�rminos y condiciones utilizados por usted.
(2)Un consumidor en el sentid...

M�s informaci�n

Derecho al desistimiento

Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona f�sica que act�e con fines ajenos a su actividad comercial, empresarial, oficio o profesi�n.

Informaci�n sobre el derecho de desistimiento

Derecho legal de desistimiento

Tiene derecho a rescindir este contrato en un plazo de 14 d�as sin dar ning�n motivo.

El periodo de desistimiento vencer� a los 14 d�as desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesi�n f�sica del �ltimo bien o del �ltimo lote o pieza.

Para ejercer el derecho de desistimiento, complete de forma electr�nica y env�e una declaraci�n clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a trav�s de un soporte duradero (por ejemplo, por correo electr�nico).

Para cumplir con el plazo de desistimiento, basta con que env�e su comunicaci�n relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.

Efectos del desistimiento

Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de env�o (excepto los gastos adicionales que surjan si elige un tipo de env�o que no sea el tipo de env�o est�ndar m�s econ�mico que ofrecemos).

Podemos hacer una deducci�n del reembolso por la p�rdida de valor de cualquier bien suministrado, si la p�rdida es el resultado de una manipulaci�n innecesaria por su parte.

Efectuaremos el reembolso sin demoras indebidas y, a m�s tardar, 14 d�as despu�s de que se nos informe de su decisi�n de rescindir este contrato.

Efectuaremos el reembolso utilizando el mismo medio de pago que utiliz� para la transacci�n inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrir� en ning�n cargo como resultado de dicho reembolso.

Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.

Deber� devolver los bienes o entregarlos a AHA-BUCH GmbH, Einbeck, Germany, sin demoras indebidas y, en cualquier caso, en un plazo m�ximo de 14 d�as a partir del d�a en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercanc�a antes de que venza el periodo de 14 d�as. Tendr� que asumir los gastos directos de devoluci�n de los bienes. Usted solo es responsable de la disminuci�n del valor de los bienes como resultado de una manipulaci�n distinta a la necesaria para establecer la naturaleza, las caracter�sticas y el funcionamiento de los bienes.

Excepciones al derecho de desistimiento

El derecho de desistimiento no se aplica a lo siguiente:

La entrega de peri�dicos, diarios o revistas, con la excepci�n de los contratos de suscripci�n; y
El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, acept� que pod�amos empezar a entregarlo y que no podr�a desistir una vez iniciada la entrega.

Condiciones de env�o

Enviamos su pedido despu�s de recibirlos
para art�culos disponibles las �ltimas 24 horas,
para art�culos con suministro nocturno a m�s tardar 48 horas.
En caso de que necesitemos pedir un art�culo a nuestro proveedor, nuestro tiempo de env�o depende de la fecha de recepci�n de los art�culos, pero los art�culos se enviar�n el mismo d�a.

Nuestro objetivo es enviar los art�culos pedidos de la manera m�s r�pida, pero tambi�n m�s eficiente y segura a nuestros clientes.

Tarifas de env�o de Alemania a Estados Unidos de America

Tarifas de env�o de Alemania a Estados Unidos de America
Cantidad del pedido	De 30 a 40 d�as h�biles	De 7 a 14 d�as h�biles
Primer art�culo	EUR 63.22	EUR 73.22

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.

Informaci�n detallada sobre el vendedor