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1 - 12 de 12 resultados para “usman qamar”
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  • Generative AI

    Foundations & Concepts

    de Usman Qamar, Muhammad Summair Raza ...
    Series series Artificial Intelligence (R0)
    This textbook covers the foundations, concepts, and implementations of Generative AI. It offers students with the knowledge and skills essential for the evolving field of Generative AI. It covers both the theory and the practical implementation, and every concept is explained with simple and easy-to-understand examples. The implementation of each generative AI model is also part of the textbook ... Leer más

    $76.49 USD

  • Data Science Concepts and Techniques with Applications

    de Usman Qamar, Muhammad Summair Raza ...
    Series series Computer Science (R0)
    This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three sections:The first section is an ... Leer más

    $49.99 USD

  • Data Science Concepts and Techniques with Applications

    de Usman Qamar, Muhammad Summair Raza ...
    Series series Computer Science (R0)
    This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines.The chapters of this book are organized into three parts: The first part (chapters 1 to 3) is a general introduction to data science. Starting from the basic concepts ... Leer más

    $76.99 USD

  • Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications

    de Muhammad Summair Raza, Usman Qamar ...
    Series series Computer Science (R0)
    This book provides a comprehensive introduction to rough set-based feature selection. Rough set theory, first proposed by Zdzislaw Pawlak in 1982, continues to evolve. Concerned with the classification and analysis of imprecise or uncertain information and knowledge, it has become a prominent tool for data analysis, and enables the reader to systematically study all topics in rough set theory (RST ... Leer más

    $80.99 USD

  • Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications

    de Muhammad Summair Raza, Usman Qamar ...
    Series series Computer Science (R0)
    The book will provide:In depth explanation of rough set theory along with examples of the concepts.Detailed discussion on idea of feature selection.Details of various representative and state of the art feature selection techniques along with algorithmic explanations.Critical review of state of the art rough set based feature selection methods covering strength and weaknesses of each.In depth inve ... Leer más

    $98.99 USD

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    A Guide for Data Scientists

    de Andreas C. Müller, Sarah Guido ...
    Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your ... Leer más

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  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

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  • Python Machine Learning

    Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial

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  • Machine Learning Design Patterns

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  • Machine Learning with R

    R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required – this book will take you methodically through every stage of applying machine learning.

    de Brett Lantz ...
    Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science ... Leer más

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  • Deep Learning

    A Practitioner's Approach

    de Josh Patterson, Adam Gibson ...
    Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning ... Leer más

    $36.99 USD

  • Machine Learning with R

    Expert techniques for predictive modeling to solve all your data analysis problems

    de Brett Lantz ...
    Key FeaturesBook DescriptionUpdated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms and crunching your data, with ... Leer más

    $41.99 USD o gratis con Kobo Plus