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Industrial Machine Learning

Using Artificial Intelligence as a Transformational Disruptor

Paperback Engels 2019 9781484253151
Verkooppositie 2839Hoogste positie: 2839
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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 required to handle the future of data engineering and data science.

Data lakes currently generated by worldwide industrialized business activities are projected to reach 35 zettabytes (ZB) as the Fourth Industrial Revolution produces an exponential increase of volume, velocity, variety, variability, veracity, visualization, and value. Industrialization of ML evolves from AI and studying pattern recognition against the increasingly unstructured resource stored in data lakes.

'Industrial Machine Learning' supplies advanced, yet practical examples in different industries, including finance, public safety, health care, transportation, manufactory, supply chain, 3D printing, education, research, and data science. The book covers: supervised learning, unsupervised learning, reinforcement learning, evolutionary computing principles, soft robotics disruptors, and hard robotics disruptors.

What You Will Learn
- Generate and identify transformational disruptors of artificial intelligence (AI)
- Understand the field of machine learning (ML) and apply it to handle big data and process the data lakes in your environment
- Hone the skills required to handle the future of data engineering and data science

Who This Book Is For
Intermediate to expert level professionals in the fields of data science, data engineering, machine learning, and data management.


Aantal pagina's:673
Hoofdrubriek:IT-management / ICT


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Background Knowledge
Classic Machine Learning
Supervised Learning: Using Labeled Data for Insights
Supervised Learning: Advanced Algorithms
Unsupervised Learning: Using Unlabeled Data
Unsupervised Learning: Neural Network Toolkits
Unsupervised Learning: Deep Learning
Reinforcement Learning: Using Newly Gained Knowledge for Insights
Evolutionary Computing
Mechatronics: Making Different Sciences Work as One
Robotics Revolution
Fourth Industrial Revolution (4IR)
Industrialized Artificial Intelligence
Final Industrialization Project

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        Industrial Machine Learning