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    Showing results 1 to 9 of 9
    • TVS.005208_TT_Rohit Raja, Kapil Kumar Nagwanshi, Sandeep Kumar, K. Ramya Laxmi - Data Mining and Machine Learning Applications-Wiley-Scrivener (2022).pdf.jpg
    • Sách/Book

    • Data mining and machine learning applications

      • Authors: Raja, Rohit (2022)

    • The book features: A review of the state-of-the-art in data mining and machine learning, A review and description of the learning methods in human-computer interaction, Implementation strategies and future research directions used to meet the design and application requirements of several modern and real-time applications for a long time, The scope and implementation of a majority of data mining and machine learning strategies.
    • TVS.005295_TT_Andres Fortino - Data Mining and Predictive Analytics for Business Decisions-Mercury Learning and Information (2023).pdf.jpg
    • Sách/Book

    • Data mining and predictive analytics

      • Authors: Fortino, Andres (2023)

    • "Data mining is a recent development in the area of data analysis (within the last 20 years). With many recent advances in data science, we now have many more tools and techniques available for data analysts to extract information from data sets. This book helps data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using machine learning. Data mining is a sophisticated and organized activity with a well-defined process encoded in the CRISP-DM standard. In this book, we develop an understanding of the tools and techniques to assist the individual data analyst, but not necessarily a data science team
    • TVS.006051_TT_Jie Cao - E-commerce Big Data Mining and Analytics-Springer (2023).pdf.jpg
    • Sách/Book

    • E-Commerce Big Data Mining and Analytics

      • Authors: Cao, Jie (2023)

    • This book seeks to give readers with a preliminary but critical introduction and summary of e-commerce and big data analysis. This book introduces how to achieve data acquisition and pre-processing.
    • TVS.005250_TT_John Paul Mueller, Luca Massaron - Python for Data Science For Dummies, 3rd Edition-Wiley-Scrivener (2023).pdf.jpg
    • Sách/Book

    • Python for data science for dummies

      • Authors: Mueller, John Paul (2024)

    • Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner's guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights.
    • TVS.000504_TT_ Adi Polak - Scaling Machine Learning with Spark_ Distributed ML with MLlib, TensorFlow, and PyTorch-O_Reilly Media (2023).pdf.jpg
    • Sách/Book

    • Scaling machine learning with Spark : distributed ML with MLlib, TensorFlow, and PyTorch

      • Authors: Polak, Adi (2023)

    • Learn how to build end-to-end scalable machine learning solutions with Apache Spark. With this practical guide, author Adi Polak introduces data and ML practitioners to creative solutions that supersede today's traditional methods. You'll learn a more holistic approach that takes you beyond specific requirements and organizational goals--allowing data and ML practitioners to collaborate and understand each other better.