Deep learning has profoundly impacted many areas of machine learning. However, it took a while for its impact to be felt in the field of recommender systems. The increasingly sophisticated field of artificial intelligence (AI) has grown and spawned several disciplines that deserve their own focused consideration, namely machine learning (ML) and the ML subset "deep learning." As it sounds, deep learning is the process of leveraging data analytics and the latest gains in computing power to enable computers to observe, learn, and respond to relatively complex situations faster than humans can...
Deep learning has profoundly impacted many areas of machine learning. However, it took a while for its impact to be felt in the field of recommender s...
Gopalakrishnan, Dr.S., Rani Swetha, K., Sreenath Reddy, Sevakula Manisha, P.
A wireless sensor network (WSN) can be defined as a network of small embedded devices, called sensors, which communicate wirelessly following an ad hoc configuration. Underground mining operations around the world pose similar risks to worker safety and health. Though different techniques are used to extract base metals, precious metals, nonmetallic minerals, diamonds and coal, the hazards do not differ that much. The deeper the mine, however, the greater the risk. The coal mining industry is one of the most hazardous professions in the world. Workers insome countries lack social protection...
A wireless sensor network (WSN) can be defined as a network of small embedded devices, called sensors, which communicate wirelessly following an ad ho...
Arularasan, Dr.A.N., Gopalakrishnan, Dr.S., Prema, Dr. K.
"Predictive Analytics" is a foundational and practical guide to understanding how organizations use data to anticipate future outcomes and make informed decisions. This book blends theory, technical models, and real-world applications to help readers unlock the potential of data-driven forecasting.The book introduces readers to the science of prediction - the methods, tools, and processes used to analyze current and historical data to forecast future events. It aims to bridge the gap between data science theory and practical business use.A typical book on Predictive Analytics focuses...
"Predictive Analytics" is a foundational and practical guide to understanding how organizations use data to anticipate future outcomes and make inform...