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Find a path to becoming a Azure AI. Learn more at:
OpenCourser.com/topic/7i46sm/azure
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Azure AI.
Provides a comprehensive overview of statistical learning from a practical perspective. It covers a wide range of topics, including supervised learning, unsupervised learning, and boosting.
Provides an overview of Azure AI services and how to use them to build AI-powered applications. It covers a wide range of topics, including computer vision, natural language processing, machine learning, and deep learning.
Provides a comprehensive overview of deep learning from a theoretical perspective. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks.
Provides a collection of recipes for using Azure Deep Learning services to solve real-world problems. It great resource for anyone who wants to learn more about how to use Azure Deep Learning services to build intelligent applications.
Provides hands-on examples of how to use Azure Machine Learning to build and deploy machine learning models. It covers a variety of topics, including data preparation, model training, and model evaluation.
Provides a comprehensive overview of artificial intelligence and its applications in business. It great resource for anyone who wants to learn more about how AI can be used to solve real-world problems.
Provides a gentle introduction to computer vision, covering topics such as image processing, object detection, and image classification. It great resource for anyone who wants to learn more about the basics of computer vision.
Provides a comprehensive overview of artificial intelligence and its applications in business. It covers a wide range of topics, including machine learning, deep learning, and natural language processing.
Provides a gentle introduction to machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning. It great resource for anyone who wants to learn more about the basics of machine learning.
Provides a gentle introduction to deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It great resource for anyone who wants to learn more about the basics of deep learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/7i46sm/azure
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