Industrial Machine Learning : Using Artificial Intelligence as a Transformational Disruptor

Industrial Machine Learning Using Artificial Intelligence as a Transformational Disruptor

Understand the industrialization of machine learning (ML) and take the first steps toward identifying and generating the transformational disruptors of artificial intelligence (AI). You will learn to apply ML to data lakes in various industries, supplying data professionals with the advanced skills...

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Detalles Bibliográficos
Autor principal: Vermeulen, Andreas François. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2020.
Edición:1st ed. 2020.
Materias:
Artificial intelligence.
Big data.
Artificial Intelligence.
Big Data.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630887206719
Tabla de Contenidos:
  • Chapter 1: Introduction
  • Chapter 2: Background Knowledge
  • Chapter 3: Classic Machine Learning
  • Chapter 4: Supervised Learning: Using labeled data for Insights
  • Chapter 5: Supervised Learning: Advanced Algorithms
  • Chapter 6: Unsupervised Learning: Using Unlabeled Data
  • Chapter 7: Unsupervised Learning: Neural Network Toolkits
  • Chapter 8: Unsupervised Learning: Deep Learning
  • Chapter 9: Reinforcement Learning: Using Newly Gained Knowledge for Insights
  • Chapter 10: Evolutionary Computing
  • Chapter 11: Mechatronics
  • Chapter 12: Robotics Revolution
  • Chapter 13: Fourth Industrial Revolution (4IR )
  • Chapter 14: Industrialized Artificial Intelligence
  • Chapter 15: Final Industrialization Project
  • Appendix: Reference Material
  • .

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