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Tag: Foundations

  • AI Foundations of Deep Learning: Easy To Read Guide Introducing the Foundations Of Deep Learning and AI

    AI Foundations of Deep Learning: Easy To Read Guide Introducing the Foundations Of Deep Learning and AI


    Price: $3.99
    (as of Dec 16,2024 16:52:38 UTC – Details)




    ASIN ‏ : ‎ B0CTNHMR37
    Publisher ‏ : ‎ Green Mountain Computing; 1st edition (January 30, 2024)
    Publication date ‏ : ‎ January 30, 2024
    Language ‏ : ‎ English
    File size ‏ : ‎ 266 KB
    Simultaneous device usage ‏ : ‎ Unlimited
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 101 pages
    Page numbers source ISBN ‏ : ‎ B0CTQPL74F


    AI Foundations of Deep Learning: Easy To Read Guide Introducing the Foundations Of Deep Learning and AI

    Are you interested in learning more about the exciting world of deep learning and artificial intelligence (AI)? Look no further! In this easy-to-read guide, we will introduce you to the foundations of deep learning and AI, explaining the basic concepts and terminology in a simple and straightforward manner.

    Deep learning is a subset of machine learning that uses artificial neural networks to model and solve complex problems. These neural networks are inspired by the structure and function of the human brain, allowing them to learn from large amounts of data and make predictions or decisions without being explicitly programmed.

    The key components of deep learning include layers of neurons, activation functions, loss functions, and optimization algorithms. These elements work together to train the neural network on a specific task, such as image recognition, natural language processing, or autonomous driving.

    Artificial intelligence, on the other hand, refers to the broader field of creating intelligent machines that can perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and language understanding. Deep learning is just one of the many techniques used in AI, alongside machine learning, natural language processing, and computer vision.

    By understanding the foundations of deep learning and AI, you can begin to explore the possibilities and applications of these technologies in various industries, including healthcare, finance, transportation, and entertainment. Whether you are a beginner or an experienced professional, this guide will help you grasp the basics and inspire you to dive deeper into the fascinating world of AI.

    So, are you ready to embark on a journey into the exciting realm of deep learning and artificial intelligence? Stay tuned for more insights and tips on how to get started in this rapidly evolving field. Let’s unlock the potential of AI together!
    #Foundations #Deep #Learning #Easy #Read #Guide #Introducing #Foundations #Deep #Learning

  • Deep Learning: Foundations and Concepts



    Deep Learning: Foundations and Concepts

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    Deep Learning: Foundations and Concepts

    In the world of artificial intelligence, deep learning has emerged as a powerful and versatile tool for solving complex problems. But what exactly is deep learning, and what are the foundational concepts that underpin this cutting-edge technology?

    At its core, deep learning is a subset of machine learning that uses neural networks to learn from large amounts of data. These neural networks are inspired by the structure of the human brain, with interconnected nodes that process information and make decisions.

    One of the key concepts in deep learning is the idea of layers. A neural network is composed of multiple layers, each of which performs a specific task, such as extracting features from the input data or making predictions. By stacking these layers together, the network can learn to recognize patterns and relationships in the data, ultimately improving its performance over time.

    Another important concept in deep learning is backpropagation, which is the process by which the network adjusts its weights and biases based on the errors it makes during training. This iterative process allows the network to continually refine its predictions and improve its accuracy.

    Other foundational concepts in deep learning include activation functions, which introduce non-linearity into the network and help it learn complex patterns, and optimization algorithms, which are used to update the network’s parameters in an efficient manner.

    Overall, deep learning is a fascinating field that is constantly evolving and pushing the boundaries of what is possible in artificial intelligence. By understanding the foundational concepts of deep learning, we can gain a deeper appreciation for the power and potential of this transformative technology.
    #Deep #Learning #Foundations #Concepts

  • Cloud Native Application Protection Platforms: A Guide to CNAPPs and the Foundations of Comprehensive Cloud Security

    Cloud Native Application Protection Platforms: A Guide to CNAPPs and the Foundations of Comprehensive Cloud Security


    Price: $9.99
    (as of Dec 16,2024 15:29:21 UTC – Details)


    From the brand

    Oreilly

    Oreilly

    Explore security resources

    Oreilly

    Oreilly

    Sharing the knowledge of experts

    O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.

    Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.

    ASIN ‏ : ‎ B0DH9SHZWB
    Publisher ‏ : ‎ O’Reilly Media; 1st edition (September 13, 2024)
    Publication date ‏ : ‎ September 13, 2024
    Language ‏ : ‎ English
    File size ‏ : ‎ 9618 KB
    Simultaneous device usage ‏ : ‎ Unlimited
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 333 pages


    In today’s digital landscape, the need for robust cloud security measures has never been more critical. With the rise of cloud-native applications, organizations are increasingly turning to Cloud Native Application Protection Platforms (CNAPPs) to safeguard their data and infrastructure from cyber threats.

    But what exactly are CNAPPs, and how can they help organizations achieve comprehensive cloud security? In this guide, we will explore the foundations of CNAPPs and the key features that make them a vital component of any cloud security strategy.

    What are CNAPPs?

    CNAPPs are a new breed of security solutions specifically designed to protect cloud-native applications and environments. These platforms offer a range of security capabilities, including threat detection, vulnerability management, and compliance monitoring, all tailored to the unique challenges presented by cloud-native architectures.

    Key features of CNAPPs

    1. Container Security: CNAPPs provide comprehensive protection for containers, which are a key component of cloud-native applications. By monitoring container activity and ensuring the integrity of container images, CNAPPs help prevent unauthorized access and data breaches.

    2. Microservices Security: CNAPPs also offer advanced security features for microservices, which are the building blocks of cloud-native applications. By monitoring and securing communication between microservices, CNAPPs help prevent attacks such as data exfiltration and lateral movement.

    3. API Security: CNAPPs help organizations secure their APIs, which are often targeted by cybercriminals seeking to exploit vulnerabilities in cloud-native applications. By monitoring API traffic and enforcing security policies, CNAPPs help protect sensitive data and prevent unauthorized access.

    4. Compliance Monitoring: CNAPPs help organizations ensure compliance with industry regulations and standards, such as GDPR and HIPAA. By providing real-time visibility into security controls and compliance status, CNAPPs help organizations avoid costly fines and reputational damage.

    In conclusion, Cloud Native Application Protection Platforms are an essential component of any comprehensive cloud security strategy. By offering advanced security features tailored to the unique challenges of cloud-native applications, CNAPPs help organizations protect their data and infrastructure from cyber threats. If you’re looking to enhance your cloud security posture, consider implementing a CNAPP to safeguard your organization’s most valuable assets.
    #Cloud #Native #Application #Protection #Platforms #Guide #CNAPPs #Foundations #Comprehensive #Cloud #Security

  • Model-Based Deep Learning (Foundations and Trends(r) in Signal Processing)

    Model-Based Deep Learning (Foundations and Trends(r) in Signal Processing)



    Model-Based Deep Learning (Foundations and Trends(r) in Signal Processing)

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    Model-Based Deep Learning: Foundations and Trends in Signal Processing

    In the rapidly evolving field of deep learning, the integration of models plays a crucial role in improving the efficiency and effectiveness of algorithms. Model-based deep learning has emerged as a promising approach to harness the power of neural networks while incorporating domain knowledge and constraints.

    The book “Model-Based Deep Learning” delves into the foundations and trends of this exciting area of research, providing readers with a comprehensive overview of the key principles and techniques involved. From the basics of neural networks to advanced model-based optimization methods, this book covers a wide range of topics essential for understanding and implementing model-based deep learning algorithms.

    Whether you are a seasoned researcher looking to expand your knowledge or a newcomer hoping to gain a deeper understanding of deep learning, “Model-Based Deep Learning” is a valuable resource that will guide you through the intricacies of this cutting-edge technology. Stay ahead of the curve and take your deep learning skills to the next level with the insights and strategies offered in this groundbreaking book.
    #ModelBased #Deep #Learning #Foundations #Trendsr #Signal #Processing

  • Causal Deep Learning: Encouraging Impact on Real-World Problems Through Causality (Foundations and Trends(r) in Signal Processing)

    Causal Deep Learning: Encouraging Impact on Real-World Problems Through Causality (Foundations and Trends(r) in Signal Processing)


    Price: $85.00
    (as of Dec 16,2024 12:57:33 UTC – Details)




    Publisher ‏ : ‎ Now Publishers (August 1, 2024)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 124 pages
    ISBN-10 ‏ : ‎ 1638284008
    ISBN-13 ‏ : ‎ 978-1638284000
    Item Weight ‏ : ‎ 6.6 ounces
    Dimensions ‏ : ‎ 6.14 x 0.27 x 9.21 inches


    Causal Deep Learning: Encouraging Impact on Real-World Problems Through Causality (Foundations and Trends(r) in Signal Processing)

    In recent years, deep learning has revolutionized many fields, from computer vision to natural language processing. However, despite its impressive performance on a wide range of tasks, deep learning models often lack interpretability and generalizability. This has led researchers to explore the integration of causal reasoning into deep learning frameworks, in order to not only make predictions but also understand the underlying mechanisms and relationships between variables.

    In a recent publication in Foundations and Trends(r) in Signal Processing, researchers delve into the emerging field of causal deep learning and its potential to address real-world problems more effectively. By incorporating causal reasoning into deep learning models, researchers aim to not only predict outcomes but also understand the causal relationships between variables and make interventions to bring about desired outcomes.

    The authors highlight the importance of causality in deep learning, as it allows for more robust and reliable models that can generalize to new data and provide explanations for their predictions. By understanding the causal mechanisms at play, researchers can uncover hidden patterns, identify confounding variables, and make more informed decisions in various domains such as healthcare, finance, and autonomous systems.

    Overall, the integration of causality into deep learning has the potential to revolutionize the way we approach complex problems and make more impactful contributions to society. As researchers continue to explore the intersection of causality and deep learning, we can expect to see even greater advancements in the field and more meaningful applications in the real world.
    #Causal #Deep #Learning #Encouraging #Impact #RealWorld #Problems #Causality #Foundations #Trendsr #Signal #Processing

  • Foundations of Behavioral Research Fred N. Kerlinger Lot of2 HC ConceptualVG

    Foundations of Behavioral Research Fred N. Kerlinger Lot of2 HC ConceptualVG



    Foundations of Behavioral Research Fred N. Kerlinger Lot of2 HC ConceptualVG

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    Foundations of Behavioral Research by Fred N. Kerlinger Lot of 2 HC ConceptualVG

    Looking to dive into the world of behavioral research? Look no further than this lot of two books by Fred N. Kerlinger. These hardcover books offer a conceptual understanding of the foundations of behavioral research, providing valuable insights and knowledge for students, researchers, and professionals alike.

    With a very good condition, these books are sure to be a valuable addition to your research library. Don’t miss out on this opportunity to expand your understanding of behavioral research with these insightful books by Fred N. Kerlinger. Grab your copy today!
    #Foundations #Behavioral #ResearchFred #Kerlinger #Lot #of2 #ConceptualVG

  • Deep Learning: Foundations and – Hardcover, by Bishop Christopher M.; – Good

    Deep Learning: Foundations and – Hardcover, by Bishop Christopher M.; – Good



    Deep Learning: Foundations and – Hardcover, by Bishop Christopher M.; – Good

    Price : 67.00

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    Deep Learning: Foundations and Applications – Hardcover

    Looking to dive deeper into the world of deep learning? Look no further than “Deep Learning: Foundations and Applications” by Bishop Christopher M. This comprehensive hardcover book covers the fundamental principles of deep learning, providing a solid foundation for understanding this cutting-edge technology.

    With Bishop’s expertise and clear explanations, readers will gain a thorough understanding of neural networks, convolutional neural networks, recurrent neural networks, and more. Whether you’re a beginner or an experienced practitioner, this book is a valuable resource for anyone looking to enhance their knowledge of deep learning.

    Pick up a copy of “Deep Learning: Foundations and Applications” in hardcover today and start exploring the exciting world of deep learning. Good things await!
    #Deep #Learning #Foundations #Hardcover #Bishop #Christopher #Good

  • MOBILE CLOUD COMPUTING: FOUNDATIONS AND SERVICE MODELS By Dijiang Huang & Huijun

    MOBILE CLOUD COMPUTING: FOUNDATIONS AND SERVICE MODELS By Dijiang Huang & Huijun



    MOBILE CLOUD COMPUTING: FOUNDATIONS AND SERVICE MODELS By Dijiang Huang & Huijun

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    In our post, we will be discussing the book “MOBILE CLOUD COMPUTING: FOUNDATIONS AND SERVICE MODELS” by Dijiang Huang & Huijun.

    Mobile cloud computing is a rapidly evolving field that combines the power of cloud computing with the ubiquity of mobile devices. This book provides a comprehensive overview of the foundations and service models of mobile cloud computing, making it an essential read for anyone interested in this emerging technology.

    The authors, Dijiang Huang & Huijun, are experts in the field of mobile cloud computing and bring their wealth of knowledge and experience to this book. They cover topics such as mobile cloud architecture, mobile cloud communication protocols, and mobile cloud security, providing readers with a solid understanding of the key concepts and principles in this area.

    Overall, “MOBILE CLOUD COMPUTING: FOUNDATIONS AND SERVICE MODELS” is a must-read for anyone looking to stay ahead of the curve in the rapidly evolving world of mobile cloud computing. Whether you are a student, researcher, or industry professional, this book will provide you with the knowledge and insights you need to succeed in this exciting field.
    #MOBILE #CLOUD #COMPUTING #FOUNDATIONS #SERVICE #MODELS #Dijiang #Huang #Huijun

  • Learning Machines: Foundations of Trainable Pattern Classifying Systems Nilsson

    Learning Machines: Foundations of Trainable Pattern Classifying Systems Nilsson



    Learning Machines: Foundations of Trainable Pattern Classifying Systems Nilsson

    Price : 30.00

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    Learning Machines: Foundations of Trainable Pattern Classifying Systems by Nils Nilsson

    In this groundbreaking book, Nils Nilsson explores the foundations of trainable pattern classifying systems, also known as learning machines. Nilsson delves into the principles and algorithms that underlie these systems, providing a comprehensive overview of the field.

    From neural networks to decision trees, Nilsson covers a wide range of topics related to pattern classification and machine learning. He discusses the importance of data representation, feature selection, and model evaluation in designing effective learning systems.

    Whether you’re a student, researcher, or practitioner in the field of machine learning, this book is a must-read. Nilsson’s clear and concise writing style makes complex concepts accessible to readers of all backgrounds.

    If you’re looking to deepen your understanding of trainable pattern classifying systems, pick up a copy of Learning Machines: Foundations of Trainable Pattern Classifying Systems today. You won’t be disappointed.
    #Learning #Machines #Foundations #Trainable #Pattern #Classifying #Systems #Nilsson

  • Datacenter Power Management in Smart Grids (Foundations and Trends(r) in Electronic Design Automation)

    Datacenter Power Management in Smart Grids (Foundations and Trends(r) in Electronic Design Automation)


    Price: $80.34
    (as of Dec 16,2024 03:44:47 UTC – Details)




    Publisher ‏ : ‎ Now Publishers (January 19, 2015)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 114 pages
    ISBN-10 ‏ : ‎ 1601987927
    ISBN-13 ‏ : ‎ 978-1601987921
    Item Weight ‏ : ‎ 6.1 ounces
    Dimensions ‏ : ‎ 6.14 x 0.24 x 9.21 inches


    Datacenter Power Management in Smart Grids

    In the world of electronic design automation, one of the key challenges faced by data centers is efficiently managing power consumption. With the increasing demand for cloud computing services and the proliferation of Internet of Things devices, data centers are consuming more and more electricity, leading to higher costs and environmental concerns.

    Smart grids offer a promising solution to this problem by enabling data centers to dynamically adjust their power consumption based on real-time electricity prices and grid conditions. By leveraging advanced algorithms and machine learning techniques, data centers can optimize their energy usage, reduce costs, and contribute to a more sustainable energy infrastructure.

    The recent research in this field, as presented in the book “Datacenter Power Management in Smart Grids” by Foundations and Trends(r) in Electronic Design Automation, provides a comprehensive overview of the latest developments and best practices in data center power management. From demand response strategies to predictive analytics and energy storage solutions, this book offers valuable insights for data center operators, engineers, and researchers looking to enhance their energy efficiency and sustainability efforts.

    By embracing smart grid technologies and adopting innovative power management strategies, data centers can not only reduce their environmental footprint but also improve their bottom line. With the right tools and knowledge, data center operators can pave the way for a more efficient and sustainable future in electronic design automation.
    #Datacenter #Power #Management #Smart #Grids #Foundations #Trendsr #Electronic #Design #Automation

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