Barnes & Noble Machine Learning: Develop Machine Learning Tools and Techniques (Deep Learning Models a Programmer's Guide to Artificial Intelligence) at Hamilton Place in Chattanooga, TN
Machine Learning: Develop Machine Learning Tools and Techniques (Deep Learning Models a Programmer's Guide to Artificial Intelligence) in Chattanooga, TN
Machine Learning: Develop Machine Learning Tools and Techniques (Deep Learning Models a Programmer's Guide to Artificial Intelligence) in Chattanooga, TN
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.
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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