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Tag: Concepts
Machine Learning: Concepts, Techniques and Applications
Price: $48.98
(as of Dec 29,2024 07:47:53 UTC – Details)
ASIN : B0D4CJTRL5
Publisher : Chapman and Hall/CRC; 1st edition (May 17, 2023)
Publication date : May 17, 2023
Language : English
File size : 23393 KB
Simultaneous device usage : Up to 4 simultaneous devices, per publisher limits
Text-to-Speech : Not enabled
Enhanced typesetting : Not Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Format : Print Replica
Machine Learning: Concepts, Techniques and ApplicationsMachine learning is a powerful tool that has revolutionized the way we approach data analysis and decision-making. In this post, we will explore the key concepts, techniques, and applications of machine learning.
Concepts:
– Machine learning is a subset of artificial intelligence that focuses on the development of algorithms that can learn from and make predictions or decisions based on data.
– The main goal of machine learning is to enable computers to learn from data and improve their performance over time without being explicitly programmed.
– There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.Techniques:
– Supervised learning involves training a model on a labeled dataset, where the input data is paired with the correct output.
– Unsupervised learning involves training a model on an unlabeled dataset, where the model must find patterns and relationships in the data on its own.
– Reinforcement learning involves training a model through a system of rewards and punishments, where the model learns to make decisions based on maximizing rewards.Applications:
– Machine learning has a wide range of applications across various industries, including healthcare, finance, marketing, and more.
– In healthcare, machine learning is used for disease diagnosis, personalized medicine, and drug discovery.
– In finance, machine learning is used for fraud detection, risk assessment, and algorithmic trading.
– In marketing, machine learning is used for customer segmentation, recommendation systems, and predictive analytics.Overall, machine learning is a powerful technology with the potential to transform industries and improve decision-making processes. By understanding the key concepts, techniques, and applications of machine learning, businesses and individuals can leverage this technology to gain valuable insights and make more informed decisions.
#Machine #Learning #Concepts #Techniques #Applications,rnn
A Guide to Service Desk Concepts – Paperback By Knapp, Donna – VERY GOOD
A Guide to Service Desk Concepts – Paperback By Knapp, Donna – VERY GOOD
Price : 21.55
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Are you looking to improve your understanding of service desk concepts? Look no further than “A Guide to Service Desk Concepts” by Donna Knapp. This paperback book is in VERY GOOD condition and is the perfect resource for anyone working in or aspiring to work in a service desk role.In this comprehensive guide, Knapp covers everything from the basics of service desk operations to more advanced topics such as incident management, problem management, and service level agreements. With easy-to-understand explanations and real-world examples, this book is a valuable tool for anyone looking to excel in their service desk career.
Whether you’re a seasoned service desk professional or just starting out in the field, “A Guide to Service Desk Concepts” is a must-have resource. Get your hands on a copy today and take your service desk knowledge to the next level!
#Guide #Service #Desk #Concepts #Paperback #Knapp #Donna #GOOD, Managed Services
Autonomous Agricultural Vehicles: Concepts, Principles, Components, and Developm
Autonomous Agricultural Vehicles: Concepts, Principles, Components, and Developm
Price : 132.20
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entsAutonomous agricultural vehicles are revolutionizing the way farming is done. These vehicles are equipped with advanced technology that allows them to operate without human intervention, improving efficiency and reducing labor costs. In this post, we will explore the concepts, principles, components, and developments of autonomous agricultural vehicles.
Concepts:
Autonomous agricultural vehicles rely on a combination of sensors, cameras, GPS technology, and artificial intelligence to navigate fields, plant seeds, apply fertilizers, and harvest crops. These vehicles are capable of performing tasks with precision and accuracy, leading to higher yields and reduced environmental impact.
Principles:
The principles behind autonomous agricultural vehicles are based on the idea of automating repetitive and time-consuming tasks in farming. By removing the need for human operators, these vehicles can work around the clock, increasing productivity and reducing the risk of human error.
Components:
Key components of autonomous agricultural vehicles include GPS receivers for navigation, sensors for detecting obstacles and monitoring crop health, actuators for controlling movement and operations, and onboard computers for processing data and making decisions. These components work together to ensure that the vehicle can operate efficiently and safely in the field.
Developments:
In recent years, there have been significant developments in the field of autonomous agricultural vehicles. Companies like John Deere, Case IH, and AGCO have introduced autonomous tractors, sprayers, and harvesters that are capable of performing a wide range of tasks autonomously. Researchers are also exploring new technologies such as drone swarms and robotic weeders to further improve the efficiency and sustainability of farming.
Overall, autonomous agricultural vehicles are poised to revolutionize the way farming is done, providing farmers with new tools to increase productivity, reduce costs, and improve environmental sustainability. As technology continues to advance, we can expect to see even more innovative developments in this exciting field.
#Autonomous #Agricultural #Vehicles #Concepts #Principles #Components #Developm, autonomous vehicles
JAVA PROGRAMMING: COMPREHENSIVE CONCEPTS AND TECHNIQUES By Gary B. Shelly VG
JAVA PROGRAMMING: COMPREHENSIVE CONCEPTS AND TECHNIQUES By Gary B. Shelly VG
Price : 36.95
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Are you looking to expand your knowledge and skills in Java programming? Look no further than “Java Programming: Comprehensive Concepts and Techniques” by Gary B. Shelly VG. This comprehensive guide covers everything from the basics of Java syntax to advanced programming techniques.Whether you’re a beginner looking to learn the fundamentals of Java or an experienced programmer wanting to enhance your skills, this book has something for everyone. With clear explanations, practical examples, and hands-on exercises, you’ll be able to master Java programming in no time.
Don’t miss out on this valuable resource for learning Java programming. Get your hands on “Java Programming: Comprehensive Concepts and Techniques” by Gary B. Shelly VG today!
#JAVA #PROGRAMMING #COMPREHENSIVE #CONCEPTS #TECHNIQUES #Gary #Shelly, Data Management
Cloud Computing: Master the Concepts, Architecture and Applications with Real-wo
Cloud Computing: Master the Concepts, Architecture and Applications with Real-wo
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rld ExamplesIn this post, we will dive deep into the world of cloud computing, covering everything from the basic concepts to the architecture and real-world applications. Cloud computing has revolutionized the way businesses operate, allowing for greater flexibility, scalability, and cost-efficiency.
We will start by discussing the fundamentals of cloud computing, including the different types of cloud services (IaaS, PaaS, SaaS), the benefits of cloud computing, and the key players in the industry. From there, we will explore the architecture of cloud computing, including the components that make up a cloud infrastructure and how they interact with each other.
Next, we will delve into real-world examples of cloud computing applications, showcasing how companies across various industries are leveraging the power of the cloud to drive innovation and growth. From cloud storage and backup solutions to cloud-based software development platforms, we will explore the diverse range of applications that cloud computing offers.
By the end of this post, you will have a solid understanding of cloud computing and how it can be applied in real-world scenarios. Whether you are a business owner looking to streamline your operations or a developer seeking to build scalable applications, mastering the concepts, architecture, and applications of cloud computing will be key to your success. So stay tuned as we explore the exciting world of cloud computing together!
#Cloud #Computing #Master #Concepts #Architecture #Applications #Realwo, Cloud ComputingExpert Systems: Basic Concepts by Joseph D.; Morelli Ralph A Bronzino
Expert Systems: Basic Concepts by Joseph D.; Morelli Ralph A Bronzino
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Expert systems are a type of artificial intelligence technology that can replicate the decision-making abilities of a human expert in a specific domain. These systems use a set of rules or algorithms to analyze data and provide recommendations or solutions to complex problems.In their book “Expert Systems: Principles and Programming” by Joseph D. Morelli and Ralph A. Bronzino, the authors delve into the basic concepts of expert systems. They explain how these systems work, their components, and how they can be applied in various fields such as medicine, engineering, and finance.
The book provides a comprehensive overview of expert systems, including their history, development, and current applications. It also covers topics such as knowledge representation, inference engines, and learning mechanisms used in expert systems.
Whether you are a student looking to learn more about artificial intelligence or a professional seeking to implement expert systems in your organization, “Expert Systems: Principles and Programming” is a valuable resource that will help you understand the fundamental concepts behind this powerful technology.
#Expert #Systems #Basic #Concepts #Joseph #Morelli #Ralph #Bronzino
Cloud Computing: Concepts, Technology & Architecture [The Pearson Service Techno
Cloud Computing: Concepts, Technology & Architecture [The Pearson Service Techno
Price : 12.34
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logy Series]Cloud computing has revolutionized the way businesses store, manage, and access data. In this post, we will explore the concepts, technology, and architecture behind cloud computing, as outlined in The Pearson Service Technology Series.
Concepts of Cloud Computing:
Cloud computing refers to the delivery of computing services, such as storage, processing power, and applications, over the internet. Instead of storing data on local servers or personal devices, cloud computing allows users to access resources from remote servers located in data centers.
Key concepts of cloud computing include:
1. On-demand self-service: Users can provision computing resources, such as storage or processing power, without human intervention.
2. Broad network access: Cloud services are accessible over the internet from any device with an internet connection.
3. Resource pooling: Resources are shared among multiple users, leading to cost savings and improved efficiency.
4. Rapid elasticity: Resources can be scaled up or down quickly to meet changing demands.
5. Measured service: Users only pay for the resources they consume, allowing for cost-effective scalability.
Technology behind Cloud Computing:
The technology behind cloud computing includes virtualization, which allows for the creation of virtual machines that can run multiple operating systems on a single physical server. This enables efficient resource utilization and scalability.
Other technologies used in cloud computing include:
1. Infrastructure as a Service (IaaS): Provides virtualized computing resources over the internet, such as storage and networking.
2. Platform as a Service (PaaS): Offers a platform for developers to build, deploy, and manage applications without the need for underlying infrastructure.
3. Software as a Service (SaaS): Delivers software applications over the internet on a subscription basis, eliminating the need for local installations.
Architecture of Cloud Computing:
Cloud computing architecture consists of several layers, including:
1. Cloud infrastructure: Physical servers, networking equipment, and storage devices that make up the cloud environment.
2. Virtualization layer: Software that enables the creation and management of virtual machines on physical servers.
3. Cloud services: IaaS, PaaS, and SaaS offerings that provide computing resources, platforms, and applications over the internet.
4. Cloud management: Tools and services for monitoring, provisioning, and managing cloud resources.
By understanding the concepts, technology, and architecture of cloud computing, businesses can leverage the benefits of scalability, cost-effectiveness, and flexibility offered by cloud services. The Pearson Service Technology Series provides a comprehensive guide to cloud computing, helping organizations navigate the complexities of this transformative technology.
#Cloud #Computing #Concepts #Technology #Architecture #Pearson #Service #Techno, Cloud Computing
Cyber Security in Parallel and Distributed Computing: Concepts, Techniques, Appl
Cyber Security in Parallel and Distributed Computing: Concepts, Techniques, Appl
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icationsCyber security is a critical aspect of parallel and distributed computing, as these technologies are increasingly being utilized in a wide range of applications, including cloud computing, big data analytics, and Internet of Things (IoT) devices. In this post, we will explore the concepts, techniques, and applications of cyber security in parallel and distributed computing.
Concepts:
Cyber security in parallel and distributed computing involves protecting the confidentiality, integrity, and availability of data and resources in a distributed environment. This includes securing communication channels, preventing unauthorized access to data and systems, and detecting and responding to security incidents.
Techniques:
There are a variety of techniques that can be used to enhance cyber security in parallel and distributed computing. These include encryption, access control, authentication, intrusion detection, and security monitoring. Additionally, techniques such as virtualization and containerization can help isolate and protect individual components of a distributed system.
Applications:
Cyber security is essential in a wide range of applications of parallel and distributed computing. For example, in cloud computing, security measures are needed to protect sensitive data stored in remote servers. In big data analytics, security is crucial to ensure the integrity of data being processed and to protect against unauthorized access. In IoT devices, security measures are needed to prevent cyber attacks that could compromise the privacy and safety of users.
Overall, cyber security in parallel and distributed computing is a complex and evolving field that requires a comprehensive approach to protect data and resources in distributed environments. By implementing appropriate concepts, techniques, and applications, organizations can enhance the security of their parallel and distributed computing systems and mitigate the risks of cyber attacks.
#Cyber #Security #Parallel #Distributed #Computing #Concepts #Techniques #Appl, Cybersecurity
Recurrent Neural Networks : Concepts and Applications, Paperback by Kumar Tya…
Recurrent Neural Networks : Concepts and Applications, Paperback by Kumar Tya…
Price : 78.01
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Recurrent Neural Networks: Concepts and ApplicationsAre you interested in diving deeper into the world of Recurrent Neural Networks (RNNs)? Look no further than the comprehensive guide provided in “Recurrent Neural Networks: Concepts and Applications” by Kumar Tyagi.
This paperback book covers all the essential concepts and principles behind RNNs, including how they differ from traditional feedforward neural networks and their unique ability to handle sequential data. From understanding the architecture of RNNs to exploring various types of RNNs like Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), this book provides a solid foundation for anyone looking to master this powerful deep learning technique.
But it doesn’t stop there – “Recurrent Neural Networks: Concepts and Applications” also delves into practical applications of RNNs across various domains such as natural language processing, speech recognition, time series forecasting, and more. With real-world examples and case studies, you’ll learn how to implement RNNs in your own projects and leverage their capabilities to solve complex problems.
Whether you’re a beginner looking to understand the basics of RNNs or an experienced data scientist seeking to enhance your knowledge, this book is a must-have resource. Get your hands on “Recurrent Neural Networks: Concepts and Applications” and unlock the full potential of RNNs in your deep learning journey.
#Recurrent #Neural #Networks #Concepts #Applications #Paperback #Kumar #Tya..
Cloud Computing: Concepts, Technology & Architecture [The Pearson Service Techno
Cloud Computing: Concepts, Technology & Architecture [The Pearson Service Techno
Price : 11.18
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logy Series]Cloud computing has revolutionized the way businesses operate and store data. In this post, we will explore the concepts, technology, and architecture of cloud computing, as outlined in the Pearson Service Technology Series.
Concepts:
Cloud computing refers to the delivery of computing services over the internet, allowing users to access applications and store data on remote servers. This eliminates the need for physical servers and infrastructure on-premises, making it a cost-effective and scalable solution for businesses of all sizes.
Technology:
The technology behind cloud computing includes virtualization, which allows multiple virtual machines to run on a single physical server. This maximizes resource utilization and efficiency, making it easier to scale up or down as needed. Additionally, cloud providers offer a range of services such as storage, networking, and security to support various business needs.
Architecture:
Cloud computing architecture is divided into three main layers: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides virtualized computing resources, PaaS offers a platform for developers to build and deploy applications, and SaaS delivers software applications over the internet.
Overall, cloud computing is a powerful technology that enables businesses to innovate and grow without the constraints of traditional IT infrastructure. By understanding the concepts, technology, and architecture of cloud computing, businesses can harness its full potential and stay ahead in today’s digital world.
#Cloud #Computing #Concepts #Technology #Architecture #Pearson #Service #Techno, Cloud Computing
