یادگیری ماشین صنعتی: استفاده از هوش مصنوعی به عنوان یک مختل‌کنندهٔ تحول‌آفرین

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 "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, industrializaiton 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. You will: 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 Front Matter ....Pages i-xxiii Introduction (Andreas François Vermeulen)....Pages 1-6 Background Knowledge (Andreas François Vermeulen)....Pages 7-12 Classic Machine Learning (Andreas François Vermeulen)....Pages 13-62 Supervised Learning: Using Labeled Data for Insights (Andreas François Vermeulen)....Pages 63-136 Supervised Learning: Advanced Algorithms (Andreas François Vermeulen)....Pages 137-180 Unsupervised Learning: Using Unlabeled Data (Andreas François Vermeulen)....Pages 181-206 Unsupervised Learning: Neural Network Toolkits (Andreas François Vermeulen)....Pages 207-223 Unsupervised Learning: Deep Learning (Andreas François Vermeulen)....Pages 225-241 Reinforcement Learning: Using Newly Gained Knowledge for Insights (Andreas François Vermeulen)....Pages 243-277 Evolutionary Computing (Andreas François Vermeulen)....Pages 279-314 Mechatronics: Making Different Sciences Work as One (Andreas François Vermeulen)....Pages 315-381 Robotics Revolution (Andreas François Vermeulen)....Pages 383-413 Fourth Industrial Revolution (4IR) (Andreas François Vermeulen)....Pages 415-532 Industrialized Artificial Intelligence (Andreas François Vermeulen)....Pages 533-556 Final Industrialization Project (Andreas François Vermeulen)....Pages 557-612 Back Matter ....Pages 613-637