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  • Exploring Machine Learning fo Kids Ages 8 -12 A Fun and Interactive Guide to Artificial Intelligence, Algorithms, Chatbots, Data Scienc: Unlock … Science Adventures. For boys and girls

    Exploring Machine Learning fo Kids Ages 8 -12 A Fun and Interactive Guide to Artificial Intelligence, Algorithms, Chatbots, Data Scienc: Unlock … Science Adventures. For boys and girls


    Price: $6.99
    (as of Dec 18,2024 04:23:38 UTC – Details)


    From the Publisher

    machine learning

    machine learning

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    Add to Cart

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    Explore the world of Machine Learning with ease! Engage with interactive lessons and practical activities to lead your learning journey!

    What makes this book a MUST-HAVE?

    language

    language

    Easy-to-understand language designed for young readers, making complex ideas accessible.

    activities

    activities

    Practical examples and activities that help kids apply what they learn in a fun way.

    illustrations

    illustrations

    Bright, cute images that make learning about machine learning fun and visually appealing.

    quizzes

    quizzes

    Quizzes to reinforce learning, plus fun facts that keep kids intrigued and engaged with the material.

    ASIN ‏ : ‎ B0DCGB81JK
    Publisher ‏ : ‎ Independently published (August 4, 2024)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 84 pages
    ISBN-13 ‏ : ‎ 979-8335019736
    Reading age ‏ : ‎ 8 – 12 years
    Item Weight ‏ : ‎ 6.4 ounces
    Dimensions ‏ : ‎ 6 x 0.19 x 9 inches


    Are you ready to dive into the exciting world of machine learning and artificial intelligence? Join us for a fun and interactive guide designed specifically for kids ages 8-12! In this workshop, we will explore the basics of AI, algorithms, chatbots, and data science through a series of hands-on activities and games.

    Unlock the mysteries of how computers learn and make decisions, and discover the real-life applications of machine learning in everyday life. Whether you’re a boy or a girl, this workshop is perfect for anyone interested in science and technology.

    Don’t miss out on this chance to embark on a journey of discovery and learning with our Science Adventures workshop! Sign up now and get ready to explore the fascinating world of machine learning. #MachineLearningForKids #ScienceAdventures #AIExploration
    #Exploring #Machine #Learning #Kids #Ages #Fun #Interactive #Guide #Artificial #Intelligence #Algorithms #Chatbots #Data #Scienc #Unlock #Science #Adventures #boys #girls

  • Big Data Infrastructure Technologies for Data Analytics : Scaling Data Scienc…



    Big Data Infrastructure Technologies for Data Analytics : Scaling Data Scienc…

    Price : 117.24

    Ends on : N/A

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    Big Data Infrastructure Technologies for Data Analytics: Scaling Data Science to New Heights

    In today’s data-driven world, the ability to efficiently analyze and process vast amounts of data is crucial for businesses looking to gain a competitive edge. This is where big data infrastructure technologies come into play, providing the necessary tools and frameworks to handle the massive amounts of data generated every day.

    One of the key technologies in this space is Hadoop, an open-source framework that allows for the distributed processing of large data sets across clusters of computers. Hadoop’s distributed file system, HDFS, enables data to be stored across multiple nodes, providing fault tolerance and scalability for big data applications.

    Another important technology is Apache Spark, a fast and general-purpose cluster computing system that provides in-memory processing capabilities for big data analytics. Spark’s ability to handle both batch and real-time data processing makes it a popular choice for organizations looking to analyze data in real-time.

    In addition to Hadoop and Spark, other big data infrastructure technologies like Apache Kafka for real-time data streaming, Apache Hive for data warehousing, and Apache HBase for NoSQL database storage play a crucial role in enabling organizations to scale their data science efforts.

    By leveraging these technologies, businesses can unlock the full potential of their data and gain valuable insights that can drive informed decision-making and strategic growth. As the volume and complexity of data continue to grow, investing in robust big data infrastructure technologies will be key to staying ahead in today’s data-driven world.
    #Big #Data #Infrastructure #Technologies #Data #Analytics #Scaling #Data #Scienc..

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