Utvidet returrett til 31. januar 2024

Machine Learning

Om Machine Learning

Using machine learning and artificial intelligence (AI) in existing business processes has been successful. Even AWS's ML and AI services make it simple and economical to conduct machine learning experiments. This book will show readers how to use the complete set of AI and ML services available on AWS to streamline the management of their whole AI operation and speed up their innovation. ¿ What You Will Learn:How to prepare your data for processing How to code a collaborative filtering model How recommender systems are evaluated What you need to know about privacy & ethics What the future of Recommender Systems might look like You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). Machine learning or want to deepen your knowledge of the latest developments.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9780995996595
  • Bindende:
  • Paperback
  • Sider:
  • 192
  • Utgitt:
  • 1. juni 2023
  • Dimensjoner:
  • 127x11x203 mm.
  • Vekt:
  • 213 g.
  • BLACK NOVEMBER
Leveringstid: 2-4 uker
Forventet levering: 27. november 2024

Beskrivelse av Machine Learning

Using machine learning and artificial intelligence (AI) in existing business processes has been successful. Even AWS's ML and AI services make it simple and economical to conduct machine learning experiments. This book will show readers how to use the complete set of AI and ML services available on AWS to streamline the management of their whole AI operation and speed up their innovation.
¿
What You Will Learn:How to prepare your data for processing
How to code a collaborative filtering model
How recommender systems are evaluated
What you need to know about privacy & ethics
What the future of Recommender Systems might look like
You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). Machine learning or want to deepen your knowledge of the latest developments.

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