Harness the untapped potential of combining a decentralized Internet of Things (IoT) with the ability to make predictions on real-world fuzzy data. This book covers the theory behind machine learning models and shows you how to program and assemble a voice-controlled security.

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field.

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

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Insightful projects to master deep learning and neural network architectures using Python and Keras

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Skip the theory and get the most out of Tensorflow to build production-ready machine learning models

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Build next-generation artificial intelligence systems with Java

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An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

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Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem

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Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python

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Build and deploy powerful neural network models using the latest Java deep learning libraries

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