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Practical Automated Machine Learning On Azure: Unlock the Power of AI

Duncan Cox

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In today's data-driven world, businesses and organizations are leveraging the transformative power of machine learning to gain insights, make predictions, and automate decision-making. However, the complexity of machine learning algorithms and the need for specialized expertise can often pose challenges.

The advent of automated machine learning (AutoML) has revolutionized the accessibility of machine learning. AutoML platforms automate the time-consuming and intricate tasks involved in machine learning, enabling data scientists and business users alike to create and deploy sophisticated models with minimal manual intervention.

The "Practical Automated Machine Learning On Azure" book is the definitive guide to harnessing the power of AutoML on Microsoft Azure, the leading cloud platform for building and deploying machine learning solutions.

Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions

by Wee Hyong Tok

4 out of 5

Language	:	English
File size	:	27124 KB
Text-to-Speech	:	Enabled
Enhanced typesetting	:	Enabled
Print length	:	200 pages

Authored by two renowned machine learning experts, this comprehensive guide provides an in-depth exploration of Azure's AutoML capabilities, empowering you to:

Create and train machine learning models with ease, even without extensive ML expertise
Leverage pre-trained models and cutting-edge Azure services to accelerate your projects
Deploy models into production and monitor their performance to ensure optimal results
Gain practical insights and best practices for successful AutoML implementation

The "Practical Automated Machine Learning On Azure" book is meticulously organized into three parts:

Part 1: to Automated Machine Learning

Overview of AutoML concepts and benefits
Azure AutoML capabilities and services
Case studies and real-world examples of AutoML applications

Part 2: Hands-on AutoML with Azure

Step-by-step tutorials on creating, training, and deploying AutoML models
Exploration of different AutoML algorithms and data types
Optimization techniques and model evaluation methods

Part 3: Advanced AutoML Applications

Advanced use cases, including time series forecasting, image recognition, and natural language processing
Integration with Azure cognitive services and other cloud platforms
Best practices for AutoML project management and governance

Comprehensive Coverage: The book provides a thorough examination of Azure AutoML, empowering you with a complete understanding of its capabilities and applications.
Practical Approach: The hands-on tutorials and real-world examples facilitate a practical understanding of AutoML implementation.
Expert Authors: Written by two experienced machine learning practitioners, the book offers invaluable insights and best practices from the field.
Up-to-Date Information: The book covers the latest advancements and best practices in Azure AutoML, ensuring you have access to the most current knowledge.
Accessible to All: The book is written in a clear and engaging style, making it accessible to both technical and non-technical readers.

The "Practical Automated Machine Learning On Azure" book is an indispensable resource for anyone seeking to master AutoML on Microsoft Azure. Whether you're a data scientist, business analyst, or technology enthusiast, this book will empower you to harness the full potential of Azure AutoML and drive innovation within your organization.

Free Download your copy today and unlock the transformative power of automated machine learning on Azure!

Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions

by Wee Hyong Tok

4 out of 5