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  • Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

    Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more


    Price: $48.99 – $46.57
    (as of Dec 17,2024 16:27:35 UTC – Details)


    From the brand

    Packt's Brand Story

    Packt's Brand Story

    Packt Logo

    Packt Logo

    Packt is a leading publisher of technical learning content with the ability to publish books on emerging tech faster than any other.

    Our mission is to increase the shared value of deep tech knowledge by helping tech pros put software to work.

    We help the most interesting minds and ground-breaking creators on the planet distill and share the working knowledge of their peers.

    New Releases

    LLMs and Generative AI

    Machine Learning

    See Our Full Range

    Publisher ‏ : ‎ Packt Publishing (June 20, 2018)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 546 pages
    ISBN-10 ‏ : ‎ 1788834240
    ISBN-13 ‏ : ‎ 978-1788834247
    Item Weight ‏ : ‎ 2.07 pounds
    Dimensions ‏ : ‎ 9.25 x 7.52 x 1.13 inches


    Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

    Are you interested in diving deep into the world of reinforcement learning and exploring cutting-edge methods like deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero, and more? Look no further, as we have curated a hands-on guide to help you apply these modern RL techniques in practice.

    In this post, we will walk you through the essential concepts and algorithms behind deep reinforcement learning, and provide step-by-step tutorials on how to implement them in popular frameworks like TensorFlow, PyTorch, and OpenAI Gym. Whether you are a beginner looking to get started with RL or an experienced practitioner seeking to expand your knowledge, this guide has something for everyone.

    From building your first deep Q-network to training a policy gradient agent to play Atari games, we will cover a wide range of topics to help you master the art of reinforcement learning. So grab your laptop, download the code samples, and let’s dive into the exciting world of deep reinforcement learning together. Happy coding!
    #Deep #Reinforcement #Learning #HandsOn #Apply #modern #methods #deep #Qnetworks #iteration #policy #gradients #TRPO #AlphaGo

  • The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications (TinyTechGuides)

    The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications (TinyTechGuides)


    Price: $28.95
    (as of Dec 17,2024 13:35:04 UTC – Details)



    Are you a generative AI practitioner looking to apply LLM patterns for enterprise applications? Look no further! In this TinyTechGuide, we will provide you with a comprehensive guide on how to effectively apply LLM patterns in your projects.

    What are LLM patterns, you ask? LLM stands for Language Model Patterns, which are used to generate text based on input data. These patterns can be used in a variety of applications, including chatbots, content generation, and more.

    So, how can you apply LLM patterns for enterprise applications? Here are some tips to get you started:

    1. Understand the data: Before you can apply LLM patterns, you need to have a good understanding of the data you will be working with. This includes understanding the structure of the data, as well as any patterns or trends that may exist within it.

    2. Preprocess the data: Once you have a good understanding of the data, you will need to preprocess it before applying LLM patterns. This may involve cleaning the data, tokenizing it, and converting it into a format that can be used by your LLM model.

    3. Train your LLM model: Once your data is preprocessed, you can begin training your LLM model. This involves feeding the model with input data and allowing it to learn the patterns within the data.

    4. Fine-tune your model: After training your LLM model, you may need to fine-tune it to improve its performance. This may involve adjusting hyperparameters, tweaking the architecture of the model, or using transfer learning techniques.

    5. Deploy your model: Once your LLM model is trained and fine-tuned, you can deploy it in your enterprise applications. This may involve integrating it with existing systems, creating APIs for easy access, and monitoring its performance over time.

    By following these steps, you can effectively apply LLM patterns for enterprise applications and create powerful AI-driven solutions for your organization. So, what are you waiting for? Start applying LLM patterns today and take your generative AI projects to the next level!
    #Generative #Practitioners #Guide #Apply #LLM #Patterns #Enterprise #Applications #TinyTechGuides

  • Machine Learning with R: Learn How to Use R to Apply Powerful Machine Learning Methods and Gain and Insight into Real-world Applications

    Machine Learning with R: Learn How to Use R to Apply Powerful Machine Learning Methods and Gain and Insight into Real-world Applications


    Price: $54.99 – $32.70
    (as of Dec 17,2024 12:27:08 UTC – Details)




    Publisher ‏ : ‎ Packt Pub Ltd (July 31, 2013)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 375 pages
    ISBN-10 ‏ : ‎ 1782162143
    ISBN-13 ‏ : ‎ 978-1782162148
    Item Weight ‏ : ‎ 1.52 pounds
    Dimensions ‏ : ‎ 9.25 x 7.52 x 0.82 inches

    Customers say

    Customers find the book easy to understand with clear explanations and straightforward examples. They appreciate the practical examples with working codes. The text provides a quick overview of popular machine learning algorithms in a concise manner.

    AI-generated from the text of customer reviews


    Machine Learning with R: Learn How to Use R to Apply Powerful Machine Learning Methods and Gain Insight into Real-world Applications

    Are you interested in delving into the world of machine learning using R? Look no further! In this post, we will explore how you can leverage the power of R to apply advanced machine learning techniques and gain valuable insights into real-world applications.

    R is a popular programming language and software environment for statistical computing and graphics. It provides a wide range of tools and libraries for data analysis, making it an ideal choice for machine learning tasks. With its rich ecosystem of packages such as caret, dplyr, and ggplot2, R allows you to easily implement and visualize complex machine learning algorithms.

    To get started with machine learning in R, you first need to understand the basics of data preprocessing, model building, and evaluation. You can use libraries like tidyr and dplyr to clean and transform your data, and then utilize packages like caret and glmnet to build predictive models.

    Some common machine learning algorithms that you can implement in R include linear regression, decision trees, random forests, support vector machines, and neural networks. By experimenting with these algorithms on real-world datasets, you can gain valuable insights into how machine learning can be applied to solve various problems such as classification, regression, clustering, and anomaly detection.

    In addition to building and evaluating models, R also provides powerful tools for visualizing and interpreting the results of your machine learning experiments. You can use packages like ggplot2 and plotly to create informative plots and interactive visualizations that help you understand the patterns and relationships in your data.

    Overall, learning how to use R for machine learning can open up a world of possibilities for analyzing and predicting outcomes in diverse domains such as finance, healthcare, marketing, and more. So why wait? Start exploring the fascinating field of machine learning with R today and unlock the potential for innovative solutions in your own projects.
    #Machine #Learning #Learn #Apply #Powerful #Machine #Learning #Methods #Gain #Insight #Realworld #Applications

  • Google Cloud Platform (GCP) Professional Cloud Security Engineer Certification Companion: Learn and Apply Security Design Concepts to Ace the Exam (Certification Study Companion Series)

    Google Cloud Platform (GCP) Professional Cloud Security Engineer Certification Companion: Learn and Apply Security Design Concepts to Ace the Exam (Certification Study Companion Series)


    Price: $54.99 – $42.75
    (as of Dec 17,2024 10:45:55 UTC – Details)




    ASIN ‏ : ‎ B0CSMMHTFL
    Publisher ‏ : ‎ Apress; First Edition (June 13, 2024)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 636 pages
    ISBN-13 ‏ : ‎ 979-8868802355
    Item Weight ‏ : ‎ 1.94 pounds
    Dimensions ‏ : ‎ 6.14 x 1.28 x 9.21 inches


    Are you looking to become a Google Cloud Platform (GCP) Professional Cloud Security Engineer? Look no further than our comprehensive study companion, designed to help you learn and apply security design concepts to ace the exam.

    Our Certification Study Companion Series is the perfect tool to guide you through the certification process, providing you with all the knowledge and skills you need to succeed. With detailed explanations, practice questions, and real-world scenarios, you’ll be well-prepared to tackle the exam with confidence.

    Whether you’re a seasoned IT professional looking to expand your skill set or a newcomer to the field, our study companion is the perfect resource to help you achieve your goals. Don’t wait any longer – start studying today and take the first step towards becoming a GCP Professional Cloud Security Engineer.
    #Google #Cloud #Platform #GCP #Professional #Cloud #Security #Engineer #Certification #Companion #Learn #Apply #Security #Design #Concepts #Ace #Exam #Certification #Study #Companion #Series

  • Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, – VERY GOOD

    Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, – VERY GOOD



    Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, – VERY GOOD

    Price : 30.91

    Ends on : N/A

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    Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, and More

    Deep learning has revolutionized the field of artificial intelligence, enabling computers to learn from data and make intelligent decisions. TensorFlow 2 and Keras are two of the most popular frameworks for building deep learning models, offering powerful tools and libraries for creating advanced neural networks.

    In this post, we will explore some of the more advanced techniques in deep learning, including Generative Adversarial Networks (GANs), reinforcement learning, and transfer learning. These techniques go beyond the basics of deep learning and allow for the creation of more complex and sophisticated models.

    GANs, in particular, have gained a lot of attention in recent years for their ability to generate realistic images, music, and even text. By pitting two neural networks against each other in a game of cat and mouse, GANs can produce incredibly realistic output that is indistinguishable from real data.

    Reinforcement learning is another powerful technique that allows machines to learn through trial and error, much like how humans learn. By rewarding the machine for making the right decisions and punishing it for making the wrong ones, reinforcement learning can enable machines to master complex tasks such as playing video games or controlling robots.

    Transfer learning is a technique that allows for the transfer of knowledge from one model to another, enabling the reuse of pre-trained models for new tasks. This can greatly reduce the amount of training data required and speed up the development of new deep learning models.

    Overall, advanced deep learning techniques such as GANs, reinforcement learning, and transfer learning can open up a whole new world of possibilities for AI applications. By mastering these techniques with TensorFlow 2 and Keras, you can take your deep learning skills to the next level and create truly innovative and powerful models.

    So, if you’re ready to dive deep into the world of advanced deep learning, be sure to check out TensorFlow 2 and Keras and start exploring the exciting possibilities that await.
    #Advanced #Deep #Learning #TensorFlow #Keras #Apply #GANs #GOOD

  • Google Cloud Platform (GCP) Professional Cloud Network Engineer Certification Companion: Learn and Apply Network Design Concepts to Prepare for the Exam (Certification Study Companion Series)

    Google Cloud Platform (GCP) Professional Cloud Network Engineer Certification Companion: Learn and Apply Network Design Concepts to Prepare for the Exam (Certification Study Companion Series)


    Price: $79.99 – $39.94
    (as of Dec 16,2024 06:55:56 UTC – Details)




    Publisher ‏ : ‎ Apress; 1st ed. edition (June 27, 2023)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 452 pages
    ISBN-10 ‏ : ‎ 1484293533
    ISBN-13 ‏ : ‎ 978-1484293539
    Item Weight ‏ : ‎ 1.71 pounds
    Dimensions ‏ : ‎ 7.01 x 1.02 x 10 inches


    Are you looking to become a Google Cloud Platform (GCP) Professional Cloud Network Engineer? Look no further than our new certification study companion book, designed specifically to help you learn and apply network design concepts to prepare for the exam.

    In this comprehensive guide, you will find everything you need to know to succeed in the exam, including detailed explanations of network design principles, best practices, and real-world scenarios. Our expert authors have years of experience in cloud networking and have distilled their knowledge into this easy-to-follow study companion.

    Whether you are new to cloud networking or looking to advance your career, this book is the perfect companion to help you achieve your goals. Don’t wait any longer – start studying today and become a certified GCP Professional Cloud Network Engineer!
    #Google #Cloud #Platform #GCP #Professional #Cloud #Network #Engineer #Certification #Companion #Learn #Apply #Network #Design #Concepts #Prepare #Exam #Certification #Study #Companion #Series

  • Grokking Artificial Intelligence Algorithms: Understand and Apply the Core Algorithms of Deep Learning and Artificial Intelligence in This Friendly Illustrated Guide Including Exercises and Examples

    Grokking Artificial Intelligence Algorithms: Understand and Apply the Core Algorithms of Deep Learning and Artificial Intelligence in This Friendly Illustrated Guide Including Exercises and Examples


    Price: $0.00
    (as of Dec 16,2024 06:50:19 UTC – Details)



    Are you interested in diving deep into the world of artificial intelligence algorithms? Look no further than “Grokking Artificial Intelligence Algorithms: Understand and Apply the Core Algorithms of Deep Learning and Artificial Intelligence in This Friendly Illustrated Guide Including Exercises and Examples.”

    In this comprehensive guide, you will learn how to understand and apply the core algorithms of deep learning and artificial intelligence. From neural networks to genetic algorithms, this book covers a wide range of topics in a beginner-friendly manner.

    With easy-to-follow explanations, helpful illustrations, and practical exercises, you will gain a solid understanding of how artificial intelligence algorithms work and how to use them in real-world applications. Whether you are a student, a professional in the field, or simply curious about AI, this book is the perfect resource for mastering the fundamentals of AI algorithms.

    Don’t miss out on this invaluable guide to grokking artificial intelligence algorithms. Get your copy today and start your journey towards becoming an AI expert!
    #Grokking #Artificial #Intelligence #Algorithms #Understand #Apply #Core #Algorithms #Deep #Learning #Artificial #Intelligence #Friendly #Illustrated #Guide #Including #Exercises #Examples

  • RGEEK SATA Power Splitter Cable, 15 Pin SATA to 5 SATA Power Splitter Cable Apply for HDD、SSD、Optical Drives Sata Power Cable -24 Inches

    RGEEK SATA Power Splitter Cable, 15 Pin SATA to 5 SATA Power Splitter Cable Apply for HDD、SSD、Optical Drives Sata Power Cable -24 Inches


    Price: $7.99
    (as of Dec 16,2024 00:31:04 UTC – Details)




    1 to 5 SATA power splitter cable is designed to connect motherboards to 5PCS Serial SATA hard drives, HDD, SSD and DVD drives,Then safely connect with your computer through five right-angle SATA female connectors to quickly upgrade your computer storage space
    Purpose: This is a very useful product when the SATA power interface is not enough. Upgrade your PC and add more SATA ports to get faster SATA hard drives/optical drives or devices, etc
    The sata cable is parallel design ,neat and flat。Sata cables with length 20cm+10cm+10cm+10cm+10cm can easily add this cable adapter to your computer case without covering the network and spreading，making it easier to connect the hard disk SSD to the computer
    Product advantages: SATA adapter cable is formed at one time, no degumming, no burrs. Strong toughness and wear resistance. The interface is designed according to the standard, and it is easy to plug and unplug. Fast data transmission speed, good contact, no bad contact
    Note: 1x 15pin SATA male and 5x 15pin SATA female splitters are only applicable to devices with SATA ports and are not compatible with other ports. If it is connected with other incompatible devices, it will definitely burn or damage the components. Please check the device port carefully before buying or contact us

    Customers say

    Customers are satisfied with the cable’s functionality. They find it works as intended without any issues. However, opinions differ on the cable quality.

    AI-generated from the text of customer reviews


    Introducing the RGEEK SATA Power Splitter Cable – the perfect solution for powering multiple devices with ease! This 15 Pin SATA to 5 SATA Power Splitter Cable is designed to apply for HDD, SSD, and Optical Drives, making it a versatile and essential accessory for any tech enthusiast.

    With a length of 24 inches, this SATA Power Cable provides plenty of flexibility and reach, allowing you to connect your devices without any hassle. The high-quality construction ensures reliable performance and durability, so you can trust that your devices will receive the power they need to function properly.

    Whether you’re building a custom PC or upgrading your existing setup, the RGEEK SATA Power Splitter Cable is a must-have accessory. Say goodbye to tangled cables and power shortages – streamline your connections and power up your devices with ease. Upgrade your setup today with the RGEEK SATA Power Splitter Cable!
    #RGEEK #SATA #Power #Splitter #Cable #Pin #SATA #SATA #Power #Splitter #Cable #Apply #HDDSSDOptical #Drives #Sata #Power #Cable #Inches

  • Python Deep Learning: Understand how deep neural networks work and apply them to real-world tasks

    Python Deep Learning: Understand how deep neural networks work and apply them to real-world tasks


    Price: $54.99
    (as of Dec 15,2024 23:26:08 UTC – Details)




    ASIN ‏ : ‎ B0BRKYYPPC
    Publisher ‏ : ‎ Packt Publishing; 3rd edition (November 24, 2023)
    Publication date ‏ : ‎ November 24, 2023
    Language ‏ : ‎ English
    File size ‏ : ‎ 19872 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 586 pages


    Python Deep Learning: Understand how deep neural networks work and apply them to real-world tasks

    Deep learning is a subset of machine learning that involves training neural networks with multiple layers to learn complex patterns in data. Python has become one of the most popular programming languages for deep learning due to its simplicity and versatility.

    In this post, we will delve into the inner workings of deep neural networks and explore how they can be applied to real-world tasks. We will cover topics such as backpropagation, activation functions, and optimization algorithms, as well as provide hands-on examples of building and training deep neural networks using Python libraries like TensorFlow and Keras.

    By the end of this post, you will have a solid understanding of how deep neural networks work and be able to apply them to a variety of tasks, such as image classification, natural language processing, and reinforcement learning. So grab your favorite IDE and get ready to dive into the exciting world of Python deep learning!
    #Python #Deep #Learning #Understand #deep #neural #networks #work #apply #realworld #tasks

  • Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more, 2nd Edition

    Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more, 2nd Edition


    Price: $79.99 – $49.99
    (as of Dec 15,2024 20:17:40 UTC – Details)


    From the brand

    Packt's Brand Story

    Packt's Brand Story

    Packt Logo

    Packt Logo

    Packt is a leading publisher of technical learning content with the ability to publish books on emerging tech faster than any other.

    Our mission is to increase the shared value of deep tech knowledge by helping tech pros put software to work.

    We help the most interesting minds and ground-breaking creators on the planet distill and share the working knowledge of their peers.

    New Releases

    LLMs and Generative AI

    Machine Learning

    See Our Full Range

    Publisher ‏ : ‎ Packt Publishing; 2nd ed. edition (January 31, 2020)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 826 pages
    ISBN-10 ‏ : ‎ 1838826998
    ISBN-13 ‏ : ‎ 978-1838826994
    Item Weight ‏ : ‎ 3.1 pounds
    Dimensions ‏ : ‎ 1.85 x 7.5 x 9.25 inches


    In the second edition of “Deep Reinforcement Learning Hands-On,” readers will have the opportunity to delve into the world of modern RL methods and apply them to practical problems in various domains such as chatbots, robotics, discrete optimization, web automation, and more.

    This updated edition builds upon the foundational concepts covered in the first edition and introduces new techniques, algorithms, and case studies that showcase the power and versatility of deep reinforcement learning.

    Through hands-on exercises and real-world examples, readers will learn how to design and implement RL algorithms for solving complex problems, optimize decision-making processes, and create intelligent systems that can adapt and learn from their environment.

    Whether you are a researcher, developer, or enthusiast looking to explore the cutting-edge advancements in deep reinforcement learning, this book provides a comprehensive guide to mastering the latest techniques and tools in the field.

    Don’t miss out on the opportunity to elevate your skills and knowledge in deep reinforcement learning with the second edition of “Deep Reinforcement Learning Hands-On.”
    #Deep #Reinforcement #Learning #HandsOn #Apply #modern #methods #practical #problems #chatbots #robotics #discrete #optimization #web #automation #2nd #Edition

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