×
Dodano do koszyka:
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

Mastering Azure Machine Learning. Execute large-scale end-to-end machine learning with Azure - Second Edition

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Mastering Azure Machine Learning. Execute large-scale end-to-end machine learning with Azure - Second Edition Christoph Körner, Marcel Alsdorf - okladka książki

Mastering Azure Machine Learning. Execute large-scale end-to-end machine learning with Azure - Second Edition Christoph Körner, Marcel Alsdorf - okladka książki

Mastering Azure Machine Learning. Execute large-scale end-to-end machine learning with Azure - Second Edition Christoph Körner, Marcel Alsdorf - audiobook MP3

Mastering Azure Machine Learning. Execute large-scale end-to-end machine learning with Azure - Second Edition Christoph Körner, Marcel Alsdorf - audiobook CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
624
Dostępne formaty:
     PDF
     ePub

Ebook (118,49 zł najniższa cena z 30 dni)

119,00 zł (-1%)
118,39 zł

Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

(118,49 zł najniższa cena z 30 dni)

Przenieś na półkę

Do przechowalni

Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logging ML training runs, designing training and deployment pipelines, and managing these pipelines via MLOps.
The first section shows you how to set up an Azure Machine Learning workspace; ingest and version datasets; as well as preprocess, label, and enrich these datasets for training. In the next two sections, you'll discover how to enrich and train ML models for embedding, classification, and regression. You'll explore advanced NLP techniques, traditional ML models such as boosted trees, modern deep neural networks, recommendation systems, reinforcement learning, and complex distributed ML training techniques - all using Azure Machine Learning.
The last section will teach you how to deploy the trained models as a batch pipeline or real-time scoring service using Docker, Azure Machine Learning clusters, Azure Kubernetes Services, and alternative deployment targets.
By the end of this book, you’ll be able to combine all the steps you’ve learned by building an MLOps pipeline.

Wybrane bestsellery

O autorze książki

Marcel Alsdorf is a cloud solution architect with 5 years of experience at Microsoft consulting various companies on their cloud strategy. In this role, he focuses on supporting companies in their move toward being data-driven by analyzing their requirements and designing their data infrastructure in the areas of IoT and event streaming, data warehousing, and machine learning. On the side, he shares his technical and business knowledge as a coach in hackathons, as a mentor for start-ups and peers, and as a university lecturer. Before his current role, he worked as an FPGA engineer for the LHC project at CERN and as a software engineer in the banking industry.

Packt Publishing - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Zamknij Pobierz aplikację mobilną Ebookpoint