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Book Overview & Buying
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Table Of Contents
The Complete Guide to Azure Machine Learning - 2025 Edition
By :
The Complete Guide to Azure Machine Learning - 2025 Edition
By:
Overview of this book
This course empowers professionals to master Azure Machine Learning, a leading tool for developing and deploying ML models. Starting with key machine learning concepts, you’ll dive into supervised, unsupervised, and reinforcement learning, applying them through Azure ML Studio. Hands-on labs will guide you through setting up experiments, preprocessing data, and selecting the best models for your tasks.
You’ll also explore advanced topics like model evaluation, optimization, and deployment using Azure’s cloud resources, ensuring efficient and scalable workflows. With Azure’s flexible ecosystem, you’ll manage data, automate tasks with AutoML, and address challenges like overfitting and model drift.
The course covers real-world applications in industries like healthcare and finance, while also introducing Generative AI tools like GPT and DALL·E. Ethical AI practices are emphasized, preparing you to build responsible, scalable AI systems. This course equips you with the skills to deploy, monitor, and improve ML models in any industry.
Table of Contents (8 chapters)
Introduction to Machine Learning and Azure
Data Basics and Preprocessing
Building Machine Learning Models
Model Evaluation and Optimization
Machine Learning Pipelines (ML-OPS)
Advanced Model Deployment Strategy
MLOps (Machine Learning Operations)
Exploring Generative AI with Azure ML Studio
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