Hvor lang tid tager det at få produktet efter at have afgivet ordren?

Leveringstiden for dit bestilte produkt varierer alt efter, hvad du har bestilt, og den forsendelsesmetode, du har valgt.. Den estimerede leveringstid er nævnt under købsprocessen, så vær ubekymret, mens du handler.

Se original

Machine Learning Engineering with Python: Manage the lifecycle of machine learning models using MLOps with practical examples

Vare #: 74233457

Machine Learning Engineering with Python: Manage the lifecycle of machine learning models using MLOps with practical examples

89% af de adspurgte ville anbefale produktet til en ven

Vare #: 74233457

DKK 419

~~DKK 664~~

Prisdetaljer

Eksklusive forsendelses- og toldgebyrer ( Forsendelses- og toldgebyrer beregnes ved checkout )

^{*Alle varer importeres fra US}

Du sparer : 37%

Tilgængelighed : På lager

Importeret fra USA butik

QTY:

Bestil nu og få den omkring Monday, Oktober 12

Sikker transaktion

Vores bedste logistikpartnere

Paperback

U-Pleje garanti:

Ingen

Vælg en plan

Køb nu, betal senere

Hurtig
levering

Gratis
returnering^*

Sikker emballering

100 % originale produkter'

PCI DSS Compliance

ISO 27001 Certified

Note: Step Down Voltage Transformer required for using electronics products of US store (110-120). Recommended power converters Køb nu.

Produktdetaljer

Transform your machine learning projects into successful deployments with this practical guide on how to build and scale solutions that solve real-world problemsIncludes a new chapter on generative AI and large language models (LLMs) and building a pipeline that leverages LLMs using LangChainKey FeaturesThis second edition delves deeper into key machine learning topics, CI/CD, and system designExplore core MLOps practices, such as model management and performance monitoringBuild end-to-end examples of deployable ML microservices and pipelines using AWS and open-source toolsBook DescriptionThe Second Edition of Machine Learning Engineering with Python is the practical guide that MLOps and ML engineers need to build solutions to real-world problems. It will provide you with the skills you need to stay ahead in this rapidly evolving field.The book takes an examples-based approach to help you develop your skills and covers the technical concepts, implementation patterns, and development methodologies you need. You'll explore the key steps of the ML development lifecycle and create your own standardized model factory for training and retraining of models. You'll learn to employ concepts like CI/CD and how to detect different types of drift.Get hands-on with the latest in deployment architectures and discover methods for scaling up your solutions. This edition goes deeper in all aspects of ML engineering and MLOps, with emphasis on the latest open-source and cloud-based technologies. This includes a completely revamped approach to advanced pipelining and orchestration techniques.With a new chapter on deep learning, generative AI, and LLMOps, you will learn to use tools like LangChain, PyTorch, and Hugging Face to leverage LLMs for supercharged analysis. You will explore AI assistants like GitHub Copilot to become more productive, then dive deep into the engineering considerations of working with deep learning.What you will learnPlan and manage end-to-end ML development projectsExplore deep learning, LLMs, and LLMOps to leverage generative AIUse Python to package your ML tools and scale up your solutionsGet to grips with Apache Spark, Kubernetes, and RayBuild and run ML pipelines with Apache Airflow, ZenML, and KubeflowDetect drift and build retraining mechanisms into your solutionsImprove error handling with control flows and vulnerability scanningHost and build ML microservices and batch processes running on AWSWho this book is forThis book is designed for MLOps and ML engineers, data scientists, and software developers who want to build robust solutions that use machine learning to solve real-world problems. If you’re not a developer but want to manage or understand the product lifecycle of these systems, you’ll also find this book useful. It assumes a basic knowledge of machine learning concepts and intermediate programming experience in Python. With its focus on practical skills and real-world examples, this book is an essential resource for anyone looking to advance their machine learning engineering career.Table of ContentsIntroduction to ML EngineeringThe Machine Learning Development ProcessFrom Model to Model Factory Packaging UpDeployment Patterns and ToolsScaling UpDeep Learning, Generative AI, and LLMOps Building an Example ML MicroserviceBuilding an Extract, Transform, Machine Learning Use Case

Publisher	Packt Publishing
Publication date	August 31, 2023
Edition	2nd
Language	English
Print length	462 pages
ISBN-10	1837631964
ISBN-13	978-1837631964
Item Weight	1.74 pounds (790 grams)
Dimensions	7.5 x 1.05 x 9.25 inches (19.1 x 2.7 x 23.5 cm)

Produktbeskrivelse

Har du spørgsmål? Chat med os

Kundespørgsmål og svar

spørgsmål: Hvordan shopper man Machine Learning Engineering with Python: Manage the online fra Ubuy?

svar: Det er nemt at shoppe Machine Learning Engineering with Python: Manage the online fra Ubuy.. Du skal bare søge efter produktet, vælge din forsendelsesmetode, mens du tjekker ud og få det leveret til dit sted.
spørgsmål: Er Machine Learning Engineering with Python: Manage the tilgængelig til at handle online i Denmark?

svar: Ja, hos Ubuy Denmark er dette produkt tilgængeligt, så du kan handle til en rimelig pris.. Machine Learning Engineering with Python: Manage the er ikke tilgængelig lokalt, men du kan stole på os med vores ekspresforsendelsestjenester.
spørgsmål: Hvor lang tid tager det at få produktet efter at have afgivet ordren?

svar: Leveringstiden for dit bestilte produkt varierer alt efter, hvad du har bestilt, og den forsendelsesmetode, du har valgt.. Den estimerede leveringstid er nævnt under købsprocessen, så vær ubekymret, mens du handler.

Neural Networks Editorial Review

Ingen redaktionelle anmeldelser fundet

Kundeanmeldelser & vurderinger

4.5

62 kundebedømmelser

5 stjerne

69%
4 stjerne

22%
3 stjerne

3%
2 stjerne

3%
1 stjerne

3%

Anmeld dette produkt

Del dine tanker med andre kunder

Produktets prishistorik

Vigtig information

Begrænsninger: For produkter, der forsendes internationalt, bemærk venligst, at eventuel producentgaranti muligvis ikke er gyldig; producentens serviceordninger er muligvis ikke tilgængelige; produktmanualer, instruktioner og sikkerhedsadvarsler er muligvis ikke på destinationslandets sprog; produkterne (og det medfølgende materiale) er muligvis ikke designet i overensstemmelse med destinationslandets standarder, specifikationer og mærkningskrav; og produkterne opfylder muligvis ikke destinationslandets krav til spænding og andre elektriske standarder (hvilket kan kræve brug af en adapter eller transformer, hvis relevant). Modtageren er ansvarlig for at sikre, at produktet lovligt kan importeres til destinationslandet. Ved bestilling hos Ubuy eller dets datterselskaber er modtageren importøren og skal overholde alle love og regler i destinationslandet.
Det er ikke alle de produkter som vises på Ubuy som er til salg, idet Ubuy er en global søgemaskine. Produkterne er underlagt eksport-/handelsregler.

DKK 419

~~DKK 664~~

Bestil nu og få den omkring Monday, Oktober 12

QTY:

Sikker transaktion

PCI DSS-kompatibel og ISO 27001:2022-certificeret, med krypteret betaling og fuld køberbeskyttelse på hver ordre

Vores bedste logistikpartnere

Hurtigste grænseoverskridende levering

Ubuy-garanti

Oplev bekymringsfri shopping med 100 % originale produkter, PCI DSS-kompatibel betalingssikkerhed, ISO 27001-certificeret databeskyttelse, den hurtigste grænseoverskridende levering, gratis returnering* og sikker emballage på hver ordre.

Machine Learning Engineering with Python: Manage the lifecycle of machine learning models using MLOps with practical examples