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“vlastimil kus”

Showing 1 - 12 of 12 results for “vlastimil kus”
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  • Knowledge Graphs and LLMs in Action

    Build AI systems using connected data

    Combine knowledge graphs with large language models to deliver powerful, reliable, and explainable AI solutions.Knowledge graphs model relationships between the objects, events, situations, and concepts in your domain so you can readily identify important patterns in your own data and make better decisions. Paired up with large language models, they promise huge potential for working with ... Read more

    $77.99 CAD

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  • Building AI Agents with LLMs, RAG, and Knowledge Graphs

    A practical guide to autonomous and modern AI agents

    Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously DRM-free PDF version + access to Packt's next-gen ReaderKey FeaturesImplement RAG and knowledge graphs for advanced problem-solvingLeverage innovative approaches like LangChain to create real-world ... Read more

    $48.99 CAD or Free with Kobo Plus

  • Knowledge Graphs

    Fundamentals, Techniques, and Applications

    Series series Adaptive Computation and Machine Learning series
    A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence.The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as ... Read more

    $58.39 CAD

  • Data Mining Techniques

    by Arun K.Pujari ...
    Data Mining Techniques addresses all the major and latest techniques of data mining and data warehousing. It deals in detail with the latest algorithms for discovering association rules, decision trees, clustering, neural networks and genetic algorithms. The book contains the algorithmic details of different techniques such as A priori, Pincer-search, Dynamic Itemset Counting, FP-Tree growth, SLIQ ... Read more

    $19.74 CAD

  • Hands-On Neural Networks

    Learn how to build and train your first neural network model using Python

    Design and create neural networks with deep learning and artificial intelligence principles using OpenAI Gym, TensorFlow, and KerasKey FeaturesExplore neural network architecture and understand how it functionsLearn algorithms to solve common problems using backpropagation and perceptronsUnderstand how to apply neural networks to applications with the help of useful illustrationsBook ... Read more

    $33.99 CAD or Free with Kobo Plus

  • Principles of Health Interoperability

    FHIR, HL7 and SNOMED CT

    Series series Medicine (R0)
    This extensively updated fourth edition expands the discussion of FHIR (Fast Health Interoperability Resources), which has rapidly become the most important health interoperability standard globally. FHIR can be implemented at a fraction of the price of existing alternatives and is well suited for use in mobile phone apps, cloud communications and electronic health records. FHIR combines the best ... Read more

    $77.99 CAD

  • Principles of Health Interoperability

    SNOMED CT, HL7 and FHIR

    Series series Medicine (R0)
    This book provides an introduction to health interoperability and the main standards used. Health interoperability delivers health information where and when it is needed. Everybody stands to gain from safer more soundly based decisions and less duplication, delays, waste and errors.The third edition of Principles of Health Interoperability includes a new part on FHIR (Fast Health Interoperability ... Read more

    $102.99 CAD

  • Advanced Analytics with PySpark

    Patterns for Learning from Data at Scale Using Python and Spark

    The amount of data being generated today is staggering and growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analytics problems using PySpark, Spark's Python API, and other best ... Read more

    $57.99 CAD

  • Introduction to Software Testing

    This extensively classroom-tested text takes an innovative approach to explaining software testing that defines it as the process of applying a few precise, general-purpose criteria to a structure or model of the software. The book incorporates cutting-edge developments, including techniques to test modern types of software such as OO, web applications, and embedded software. This revised second ... Read more

    $73.99 CAD

  • Hands-On Healthcare Data

    Taming the Complexity of Real-World Data

    by Andrew Nguyen ...
    Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved. But first, you have to learn how to access and make sense of all that data.This book ... Read more

    $77.99 CAD

  • Principles of Biomedical Informatics

    by Ira J. Kalet ...
    Principles of Biomedial Informatics provides a foundation for understanding the fundamentals of biomedical informatics, which deals with the storage, retrieval, and use of biomedical data for biological problem solving and medical decision making. It covers the application of these principles to the three main biomedical domains of basic biology, clinical medicine, and public health. The author ... Read more

    $79.19 CAD

  • Practical Machine Learning with Spark

    Uncover Apache Spark’s Scalable Performance with High-Quality Algorithms Across NLP, Computer Vision and ML

    This book provides the reader with an up-to-date explanation of Machine Learning and an in-depth, comprehensive, and straightforward understanding of the architectural techniques used to evaluate and anticipate the futuristic insights of data using Apache Spark.The book walks readers by setting up Hadoop and Spark installations on-premises, Docker, and AWS. Readers will learn about Spark MLib and ... Read more

    $22.99 CAD or Free with Kobo Plus