9783384245090 (3 Ergebnisse)

Taschenbuch. Zustand: Neu. Machine Learning: The Guardian Angel of the Burgeoning Internet of Things | Sharlin | Taschenbuch | Englisch | tredition | EAN 9783384245090 | Verantwortliche Person für die EU: preigu, Ansas Meyer, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Imagine a vast network of interconnected devices, the Internet of Things (IoT), generating a constant stream of data. But how do we make sense of this data chaos 'Machine Learning: The Guardian Angel of the Burgeoning Internet of Things' explores the crucial role machine learning plays in unlocking the true potential of this burgeoning technology.Think of machine learning as the invisible hand guiding the IoT. By analyzing massive datasets collected by sensors and devices, machine learning algorithms can:-Extract Hidden Insights: From wearables tracking health data to smart meters monitoring energy consumption, machine learning uncovers patterns and trends invisible to the human eye.-Predict and Automate: Machine learning algorithms can predict equipment failures, optimize resource usage, and even automate tasks based on the data they analyze.-Enhance Security: By identifying unusual patterns in network activity, machine learning algorithms can detect and prevent cyberattacks on IoT devices.This synergy between machine learning and IoT unlocks a world of possibilities:-Proactive Maintenance: Predictive maintenance powered by machine learning can prevent costly downtime in industrial settings.-Personalized Experiences: Smart homes can adjust lighting and temperature based on your preferences learned through machine learning algorithms.-Improved Decision-Making: Businesses across sectors can leverage data-driven insights from IoT devices to make more informed decisions.However, challenges remain:-Data Quality: The effectiveness of machine learning relies on high-quality data. Cleaning and preparing vast amounts of data from diverse IoT devices requires robust infrastructure.-Computing Power: Processing massive datasets demands significant computing power. As the IoT scales, efficient and scalable machine learning algorithms are crucial.-Explainability: Understanding how machine learning algorithms reach certain conclusions is critical, especially in applications with high stakes.Despite these challenges, the marriage of machine learning and IoT is a match made in technological heaven. By harnessing the power of machine learning to analyze and interpret the data deluge from the ever-growing IoT network, we can create a smarter, more efficient, and ultimately, a more connected world.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Imagine a vast network of interconnected devices, the Internet of Things (IoT), generating a constant stream of data. But how do we make sense of this data chaos 'Machine Learning: The Guardian Angel of the Burgeoning Internet of Things' explores the crucial role machine learning plays in unlocking the true potential of this burgeoning technology.Think of machine learning as the invisible hand guiding the IoT. By analyzing massive datasets collected by sensors and devices, machine learning algorithms can:-Extract Hidden Insights: From wearables tracking health data to smart meters monitoring energy consumption, machine learning uncovers patterns and trends invisible to the human eye.-Predict and Automate: Machine learning algorithms can predict equipment failures, optimize resource usage, and even automate tasks based on the data they analyze.-Enhance Security: By identifying unusual patterns in network activity, machine learning algorithms can detect and prevent cyberattacks on IoT devices.This synergy between machine learning and IoT unlocks a world of possibilities:-Proactive Maintenance: Predictive maintenance powered by machine learning can prevent costly downtime in industrial settings.-Personalized Experiences: Smart homes can adjust lighting and temperature based on your preferences learned through machine learning algorithms.-Improved Decision-Making: Businesses across sectors can leverage data-driven insights from IoT devices to make more informed decisions.However, challenges remain:-Data Quality: The effectiveness of machine learning relies on high-quality data. Cleaning and preparing vast amounts of data from diverse IoT devices requires robust infrastructure.-Computing Power: Processing massive datasets demands significant computing power. As the IoT scales, efficient and scalable machine learning algorithms are crucial.-Explainability: Understanding how machine learning algorithms reach certain conclusions is critical, especially in applications with high stakes.Despite these challenges, the marriage of machine learning and IoT is a match made in technological heaven. By harnessing the power of machine learning to analyze and interpret the data deluge from the ever-growing IoT network, we can create a smarter, more efficient, and ultimately, a more connected world. 92 pp. Englisch.