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Machine Learning with Apache Spark Quick Start Guide : Uncover Patterns, Derive Actionable Insights, and Learn from Big Data Using MLlib.
Chapter 3: Artificial Intelligence and Machine Learning; Artificial intelligence; Machine learning; Supervised learning; Unsupervised learning; Reinforced learning; Deep learning; Natural neuron; Artificial neuron; Weights; Activation function; Heaviside step function; Sigmoid function; Hyperbolic t...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing Ltd,
2018.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | Chapter 3: Artificial Intelligence and Machine Learning; Artificial intelligence; Machine learning; Supervised learning; Unsupervised learning; Reinforced learning; Deep learning; Natural neuron; Artificial neuron; Weights; Activation function; Heaviside step function; Sigmoid function; Hyperbolic tangent function; Artificial neural network; Single-layer perceptron; Multi-layer perceptron; NLP; Cognitive computing; Machine learning pipelines in Apache Spark; Summary; Chapter 4: Supervised Learning Using Apache Spark; Linear regression; Case study - predicting bike sharing demand Machine Learning with Apache Spark provides a hands-on introduction to Big Data and Advanced Analytics. In a world driven by mass data creation and consumption, this book combines the latest scalable technologies with advanced analytical algorithms using real-world use-cases in order to derive actionable insights from Big Data in real-time. |
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| Notas: | Hierarchical clustering |
| Descripción Física: | 1 online resource (233 pages) |
| ISBN: | 9781789349375 1789349370 |