際際滷shows by User: haile468688 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: haile468688 / Thu, 11 Apr 2024 07:00:44 GMT 際際滷Share feed for 際際滷shows by User: haile468688 this is the slide design for chapter 4 of reource monitoring and mamangemnt /slideshow/this-is-the-slide-design-for-chapter-4-of-reource-monitoring-and-mamangemnt/267207897 chapter-4-240411070044-794ed7f8
the deals with the resource management and monitoring ]]>
the deals with the resource management and monitoring ]]> Thu, 11 Apr 2024 07:00:44 GMT /slideshow/this-is-the-slide-design-for-chapter-4-of-reource-monitoring-and-mamangemnt/267207897 haile468688@slideshare.net(haile468688) this is the slide design for chapter 4 of reource monitoring and mamangemnt haile468688 the deals with the resource management and monitoring <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/chapter-4-240411070044-794ed7f8-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> the deals with the resource management and monitoring
this is the slide design for chapter 4 of reource monitoring and mamangemnt from haile468688
]]> 44 0 https://cdn.slidesharecdn.com/ss_thumbnails/chapter-4-240411070044-794ed7f8-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 linux system and network administrations /slideshow/linux-system-and-network-administrations/267207852 chapter-5-240411065544-4cda2068
this slide design for the fifth chapter ]]>
this slide design for the fifth chapter ]]> Thu, 11 Apr 2024 06:55:43 GMT /slideshow/linux-system-and-network-administrations/267207852 haile468688@slideshare.net(haile468688) linux system and network administrations haile468688 this slide design for the fifth chapter <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/chapter-5-240411065544-4cda2068-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> this slide design for the fifth chapter
linux system and network administrations from haile468688
]]> 118 0 https://cdn.slidesharecdn.com/ss_thumbnails/chapter-5-240411065544-4cda2068-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Chapter-4 Internet of Things.pptx, AI, Data Science /slideshow/chapter4-internet-of-thingspptx-ai-data-science/266922129 chapter-4internetofthings-240322125231-f80e1dbe
Data science, AI (Artificial Intelligence), and IoT (Internet of Things) are three interconnected fields that play significant roles in shaping the modern technological landscape. Here's a brief description of each: Data Science: Data science is an interdisciplinary field that deals with extracting insights and knowledge from structured and unstructured data. It combines expertise from various domains such as statistics, mathematics, computer science, and domain knowledge. Data scientists use techniques like data mining, machine learning, and statistical analysis to interpret complex data sets. The goal of data science is to derive actionable insights, make predictions, and solve complex problems across industries ranging from healthcare and finance to marketing and e-commerce. Artificial Intelligence (AI): AI is the branch of computer science that aims to create intelligent machines capable of performing tasks that typically require human intelligence. This includes tasks such as natural language processing, speech recognition, computer vision, decision-making, and problem-solving. AI techniques include machine learning, deep learning, neural networks, and symbolic reasoning. AI has applications across various sectors, including healthcare, finance, transportation, manufacturing, and entertainment. It powers virtual assistants, autonomous vehicles, recommendation systems, and many other innovative technologies. Internet of Things (IoT): IoT refers to the network of interconnected devices embedded with sensors, software, and other technologies that enable them to collect and exchange data over the internet. These devices can range from household appliances and wearable devices to industrial machinery and smart city infrastructure. IoT enables the seamless integration of physical and digital systems, leading to improved efficiency, automation, and decision-making. By collecting and analyzing real-time data from connected devices, IoT facilitates a wide range of applications, including smart homes, smart cities, precision agriculture, industrial automation, and healthcare monitoring. Together, data science, AI, and IoT form the backbone of many innovative solutions that drive digital transformation across industries, revolutionizing how businesses operate, how people interact with technology, and how societies function as a whole.]]>
Data science, AI (Artificial Intelligence), and IoT (Internet of Things) are three interconnected fields that play significant roles in shaping the modern technological landscape. Here's a brief description of each: Data Science: Data science is an interdisciplinary field that deals with extracting insights and knowledge from structured and unstructured data. It combines expertise from various domains such as statistics, mathematics, computer science, and domain knowledge. Data scientists use techniques like data mining, machine learning, and statistical analysis to interpret complex data sets. The goal of data science is to derive actionable insights, make predictions, and solve complex problems across industries ranging from healthcare and finance to marketing and e-commerce. Artificial Intelligence (AI): AI is the branch of computer science that aims to create intelligent machines capable of performing tasks that typically require human intelligence. This includes tasks such as natural language processing, speech recognition, computer vision, decision-making, and problem-solving. AI techniques include machine learning, deep learning, neural networks, and symbolic reasoning. AI has applications across various sectors, including healthcare, finance, transportation, manufacturing, and entertainment. It powers virtual assistants, autonomous vehicles, recommendation systems, and many other innovative technologies. Internet of Things (IoT): IoT refers to the network of interconnected devices embedded with sensors, software, and other technologies that enable them to collect and exchange data over the internet. These devices can range from household appliances and wearable devices to industrial machinery and smart city infrastructure. IoT enables the seamless integration of physical and digital systems, leading to improved efficiency, automation, and decision-making. By collecting and analyzing real-time data from connected devices, IoT facilitates a wide range of applications, including smart homes, smart cities, precision agriculture, industrial automation, and healthcare monitoring. Together, data science, AI, and IoT form the backbone of many innovative solutions that drive digital transformation across industries, revolutionizing how businesses operate, how people interact with technology, and how societies function as a whole.]]> Fri, 22 Mar 2024 12:52:31 GMT /slideshow/chapter4-internet-of-thingspptx-ai-data-science/266922129 haile468688@slideshare.net(haile468688) Chapter-4 Internet of Things.pptx, AI, Data Science haile468688 Data science, AI (Artificial Intelligence), and IoT (Internet of Things) are three interconnected fields that play significant roles in shaping the modern technological landscape. Here's a brief description of each: Data Science: Data science is an interdisciplinary field that deals with extracting insights and knowledge from structured and unstructured data. It combines expertise from various domains such as statistics, mathematics, computer science, and domain knowledge. Data scientists use techniques like data mining, machine learning, and statistical analysis to interpret complex data sets. The goal of data science is to derive actionable insights, make predictions, and solve complex problems across industries ranging from healthcare and finance to marketing and e-commerce. Artificial Intelligence (AI): AI is the branch of computer science that aims to create intelligent machines capable of performing tasks that typically require human intelligence. This includes tasks such as natural language processing, speech recognition, computer vision, decision-making, and problem-solving. AI techniques include machine learning, deep learning, neural networks, and symbolic reasoning. AI has applications across various sectors, including healthcare, finance, transportation, manufacturing, and entertainment. It powers virtual assistants, autonomous vehicles, recommendation systems, and many other innovative technologies. Internet of Things (IoT): IoT refers to the network of interconnected devices embedded with sensors, software, and other technologies that enable them to collect and exchange data over the internet. These devices can range from household appliances and wearable devices to industrial machinery and smart city infrastructure. IoT enables the seamless integration of physical and digital systems, leading to improved efficiency, automation, and decision-making. By collecting and analyzing real-time data from connected devices, IoT facilitates a wide range of applications, including smart homes, smart cities, precision agriculture, industrial automation, and healthcare monitoring. Together, data science, AI, and IoT form the backbone of many innovative solutions that drive digital transformation across industries, revolutionizing how businesses operate, how people interact with technology, and how societies function as a whole. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/chapter-4internetofthings-240322125231-f80e1dbe-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Data science, AI (Artificial Intelligence), and IoT (Internet of Things) are three interconnected fields that play significant roles in shaping the modern technological landscape. Here&#39;s a brief description of each: Data Science: Data science is an interdisciplinary field that deals with extracting insights and knowledge from structured and unstructured data. It combines expertise from various domains such as statistics, mathematics, computer science, and domain knowledge. Data scientists use techniques like data mining, machine learning, and statistical analysis to interpret complex data sets. The goal of data science is to derive actionable insights, make predictions, and solve complex problems across industries ranging from healthcare and finance to marketing and e-commerce. Artificial Intelligence (AI): AI is the branch of computer science that aims to create intelligent machines capable of performing tasks that typically require human intelligence. This includes tasks such as natural language processing, speech recognition, computer vision, decision-making, and problem-solving. AI techniques include machine learning, deep learning, neural networks, and symbolic reasoning. AI has applications across various sectors, including healthcare, finance, transportation, manufacturing, and entertainment. It powers virtual assistants, autonomous vehicles, recommendation systems, and many other innovative technologies. Internet of Things (IoT): IoT refers to the network of interconnected devices embedded with sensors, software, and other technologies that enable them to collect and exchange data over the internet. These devices can range from household appliances and wearable devices to industrial machinery and smart city infrastructure. IoT enables the seamless integration of physical and digital systems, leading to improved efficiency, automation, and decision-making. By collecting and analyzing real-time data from connected devices, IoT facilitates a wide range of applications, including smart homes, smart cities, precision agriculture, industrial automation, and healthcare monitoring. Together, data science, AI, and IoT form the backbone of many innovative solutions that drive digital transformation across industries, revolutionizing how businesses operate, how people interact with technology, and how societies function as a whole.
Chapter-4 Internet of Things.pptx, AI, Data Science from haile468688
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