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Tag: Statistical

  • Handbook of Statistical Analysis: AI and ML Applications

    Handbook of Statistical Analysis: AI and ML Applications


    Price: $115.00 – $109.25
    (as of Dec 27,2024 15:04:23 UTC – Details)




    Publisher ‏ : ‎ Academic Press; 3rd edition (December 27, 2024)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 650 pages
    ISBN-10 ‏ : ‎ 0443158452
    ISBN-13 ‏ : ‎ 978-0443158452
    Item Weight ‏ : ‎ 2.35 pounds
    Dimensions ‏ : ‎ 8.53 x 0.7 x 10.83 inches


    Are you looking to enhance your skills in statistical analysis for artificial intelligence and machine learning applications? Look no further than the Handbook of Statistical Analysis: AI and ML Applications!

    This comprehensive guide covers the essential statistical tools and techniques needed to analyze data in the context of AI and ML. Whether you are a beginner looking to understand the fundamentals or an experienced practitioner seeking advanced methods, this handbook has something for everyone.

    Some of the key topics covered in this handbook include:

    – Descriptive statistics and data visualization
    – Hypothesis testing and inferential statistics
    – Regression analysis and predictive modeling
    – Time series analysis and forecasting
    – Clustering and classification techniques
    – Dimensionality reduction and feature selection
    – Model evaluation and performance metrics

    With real-world examples, case studies, and practical exercises, this handbook provides a hands-on approach to learning statistical analysis for AI and ML applications. Whether you are a data scientist, researcher, or student, this book will be a valuable resource for enhancing your analytical skills and understanding of complex data sets.

    So don’t wait any longer – get your copy of the Handbook of Statistical Analysis: AI and ML Applications today and take your data analysis skills to the next level!
    #Handbook #Statistical #Analysis #Applications

  • Statistical Machine Learning for Human Behaviour Analysis

    Statistical Machine Learning for Human Behaviour Analysis


    Price: $81.00 – $69.69
    (as of Dec 27,2024 14:38:30 UTC – Details)




    Publisher ‏ : ‎ Mdpi AG (June 17, 2020)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 300 pages
    ISBN-10 ‏ : ‎ 3039362283
    ISBN-13 ‏ : ‎ 978-3039362288
    Item Weight ‏ : ‎ 1.86 pounds
    Dimensions ‏ : ‎ 6.69 x 0.94 x 9.61 inches


    Statistical Machine Learning for Human Behaviour Analysis

    In today’s digital age, the amount of data generated by individuals is immense. With the rise of social media, online shopping, and digital communication, there is a wealth of information that can be used to analyze human behavior. Statistical machine learning techniques have become increasingly popular for analyzing this data and gaining insights into human behavior.

    Statistical machine learning is a powerful tool that can be used to uncover patterns, trends, and correlations within large datasets. By applying statistical methods and algorithms, researchers can identify key factors that influence human behavior, predict future actions, and understand the underlying motivations behind certain actions.

    One area where statistical machine learning has been particularly successful is in the field of marketing. By analyzing consumer data, researchers can create targeted advertising campaigns, personalized recommendations, and pricing strategies that are tailored to individual preferences and behaviors.

    Another application of statistical machine learning for human behavior analysis is in the field of healthcare. By analyzing patient data, researchers can identify trends in disease progression, predict patient outcomes, and develop personalized treatment plans.

    Overall, statistical machine learning offers a powerful toolkit for analyzing human behavior in a wide range of domains. By leveraging the vast amounts of data available today, researchers can gain valuable insights into human behavior and drive decision-making processes in an informed and data-driven manner.
    #Statistical #Machine #Learning #Human #Behaviour #Analysis

  • Test Fraud: Statistical Detection and Methodology (Routledge Research in

    Test Fraud: Statistical Detection and Methodology (Routledge Research in



    Test Fraud: Statistical Detection and Methodology (Routledge Research in

    Price : 46.33 – 45.79

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    White-Collar Crime).

    In this post, we will discuss the issue of test fraud, which has become a growing concern in educational institutions and organizations around the world. Test fraud can occur in a variety of ways, including cheating, collusion, and falsifying test results.

    To combat test fraud, researchers and practitioners have developed various statistical detection methods and methodologies. These techniques help identify suspicious patterns and anomalies in test data, which can indicate potential instances of fraud.

    One such method is the use of data analytics and machine learning algorithms to analyze test scores and identify unusual patterns. By comparing student performance against expected distributions and benchmarks, researchers can pinpoint individuals or groups who may have engaged in fraudulent behavior.

    Another approach involves conducting forensic analysis of test results, looking for inconsistencies and discrepancies that may indicate cheating or manipulation. This method relies on detailed examination of test data, including answer patterns, response times, and other behavioral indicators.

    Overall, the field of test fraud detection is a rapidly evolving area of research, with new methodologies and techniques being developed constantly. By staying vigilant and proactive in combating test fraud, educators and organizations can help ensure the integrity and fairness of their assessments.

    For more information on this topic, be sure to check out “Test Fraud: Statistical Detection and Methodology” from Routledge Research in White-Collar Crime.
    #Test #Fraud #Statistical #Detection #Methodology #Routledge #Research

  • Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowle

    Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowle



    Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowle

    Price : 55.76 – 46.47

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    dge Discovery

    Statistical data analytics serves as the foundation for various disciplines such as data mining, informatics, and knowledge discovery. By utilizing statistical techniques and methodologies, researchers and analysts can uncover hidden patterns, trends, and relationships within complex datasets.

    Data mining involves the process of extracting meaningful insights and knowledge from large volumes of data. Statistical data analytics plays a crucial role in identifying patterns, correlations, and anomalies that can help businesses make informed decisions and drive strategic planning.

    Informatics, on the other hand, focuses on the integration of data, information, and knowledge to support decision-making processes. Statistical data analytics enables informaticians to analyze, interpret, and visualize data in a meaningful way, leading to valuable insights and actionable recommendations.

    Knowledge discovery is a broader field that encompasses the process of uncovering new knowledge and insights from data. By applying statistical data analytics techniques, researchers can identify patterns, trends, and relationships that can lead to breakthrough discoveries and innovations in various domains.

    In conclusion, statistical data analytics serves as the foundational framework for data mining, informatics, and knowledge discovery. By leveraging statistical techniques and methodologies, researchers and analysts can unlock the hidden potential of data and drive meaningful insights and discoveries.
    #Statistical #Data #Analytics #Foundations #Data #Mining #Informatics #Knowle

  • Applied Data Mining: Statistical Methods for Business and Industry

    Applied Data Mining: Statistical Methods for Business and Industry



    Applied Data Mining: Statistical Methods for Business and Industry

    Price : 18.73

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    Data mining is a powerful tool that can help businesses and industries uncover valuable insights hidden within their data. By applying statistical methods to analyze large datasets, businesses can make more informed decisions and drive strategic growth.

    In this post, we will explore the various statistical methods that can be used in data mining to extract meaningful patterns and trends from data. From regression analysis to clustering techniques, businesses can leverage these methods to gain a competitive edge in today’s data-driven world.

    Regression analysis is a commonly used statistical method that can help businesses understand the relationship between variables within their data. By fitting a regression model to the data, businesses can predict future outcomes and identify key factors that influence their business performance.

    Clustering techniques, on the other hand, can help businesses group similar data points together based on their characteristics. This can be particularly useful for market segmentation, customer profiling, and anomaly detection.

    Other statistical methods, such as classification algorithms, association rule mining, and time series analysis, can also be applied to uncover hidden patterns in data and drive business insights.

    Overall, applied data mining using statistical methods can provide businesses and industries with a competitive advantage by revealing valuable insights that can inform decision-making processes and drive strategic growth. By leveraging these techniques, businesses can unlock the full potential of their data and stay ahead in today’s rapidly evolving market landscape.
    #Applied #Data #Mining #Statistical #Methods #Business #Industry

  • Statistical Learning with Math and Python: 100 Exercises for Building Logic

    Statistical Learning with Math and Python: 100 Exercises for Building Logic


    Price: $37.99 – $27.74
    (as of Dec 27,2024 05:46:36 UTC – Details)




    Publisher ‏ : ‎ Springer; 1st ed. 2021 edition (August 4, 2021)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 272 pages
    ISBN-10 ‏ : ‎ 9811578761
    ISBN-13 ‏ : ‎ 978-9811578762
    Item Weight ‏ : ‎ 13.4 ounces
    Dimensions ‏ : ‎ 6.1 x 0.62 x 9.25 inches


    Are you interested in diving into the world of statistical learning using math and Python? Look no further! In this post, we will provide you with 100 exercises to help you build your logic and strengthen your statistical learning skills.

    Whether you are a beginner or an experienced data scientist, these exercises are designed to challenge and expand your knowledge in statistical learning. From basic concepts to advanced techniques, you will have the opportunity to practice and enhance your skills in Python programming and mathematical calculations.

    So grab your notebook, fire up your Python IDE, and get ready to tackle these exercises head-on. By the end of this journey, you will have a solid foundation in statistical learning and be well-equipped to tackle real-world data analysis tasks.

    Stay tuned for the upcoming exercises and let’s start building our logic together!
    #Statistical #Learning #Math #Python #Exercises #Building #Logic

  • NONLINEAR DYNAMICS, CHAOS, AND INSTABILITY: STATISTICAL By William A. Brock VG

    NONLINEAR DYNAMICS, CHAOS, AND INSTABILITY: STATISTICAL By William A. Brock VG



    NONLINEAR DYNAMICS, CHAOS, AND INSTABILITY: STATISTICAL By William A. Brock VG

    Price : 88.75

    Ends on : N/A

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    In this post, we will explore the fascinating world of nonlinear dynamics, chaos, and instability through a statistical lens. Join us as we delve into the work of William A. Brock, a prominent figure in the field, and uncover the intricate relationships between seemingly chaotic systems and the underlying statistical patterns that govern their behavior. From the unpredictability of weather patterns to the complex dynamics of financial markets, we will examine how statistical methods can help us make sense of the seemingly random fluctuations that surround us. Stay tuned for a deep dive into the world of nonlinear dynamics and chaos, and discover the beauty of complexity hidden within seemingly chaotic systems.
    #NONLINEAR #DYNAMICS #CHAOS #INSTABILITY #STATISTICAL #William #Brock,students and
    professionals

  • Python For Effect: Master Data Visualization and Analysis: Learn Data Pipelines, Machine Learning, Advanced Statistical Analysis and Visualization with Jupyter Notebook

    Python For Effect: Master Data Visualization and Analysis: Learn Data Pipelines, Machine Learning, Advanced Statistical Analysis and Visualization with Jupyter Notebook


    Price: $4.99
    (as of Dec 27,2024 01:06:02 UTC – Details)




    ASIN ‏ : ‎ B0DKTYVK1W
    Publication date ‏ : ‎ October 23, 2024
    Language ‏ : ‎ English
    File size ‏ : ‎ 2043 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 229 pages


    Are you looking to level up your data visualization and analysis skills using Python? Look no further! In this post, we will explore how you can master data visualization and analysis with Python for maximum effect.

    Python is a powerful programming language that is widely used in the field of data science and analytics. With its vast array of libraries and tools, Python allows you to easily manipulate, analyze, and visualize data to uncover valuable insights.

    One of the key tools in the Python ecosystem for data visualization and analysis is Jupyter Notebook. Jupyter Notebook is an interactive computing environment that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.

    In this post, we will cover how you can use Jupyter Notebook to create data pipelines, perform machine learning tasks, conduct advanced statistical analysis, and visualize your data in a meaningful way. By the end of this post, you will have a solid understanding of how to leverage Python for effective data visualization and analysis.

    So if you’re ready to take your data analysis skills to the next level, stay tuned for our upcoming posts on mastering data visualization and analysis with Python and Jupyter Notebook. Get ready to unlock the full potential of your data!
    #Python #Effect #Master #Data #Visualization #Analysis #Learn #Data #Pipelines #Machine #Learning #Advanced #Statistical #Analysis #Visualization #Jupyter #Notebook

  • Foundations of Statistical Natural Language Processing, Hinrich Schütze,Christop

    Foundations of Statistical Natural Language Processing, Hinrich Schütze,Christop



    Foundations of Statistical Natural Language Processing, Hinrich Schütze,Christop

    Price : 14.06

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    her D. Manning, and Daniel Jurafsky

    In the field of natural language processing, one of the most fundamental texts is “Foundations of Statistical Natural Language Processing” by Hinrich Schütze, Christopher D. Manning, and Daniel Jurafsky. This comprehensive and authoritative book covers the key principles and techniques of statistical NLP, providing a solid foundation for anyone interested in understanding and developing algorithms for processing human language.

    The book starts by introducing the basic concepts of probability theory and statistics, which form the basis of many NLP algorithms. It then delves into the various tasks of natural language processing, such as part-of-speech tagging, parsing, and machine translation, explaining how statistical models are used to solve these problems.

    One of the strengths of this book is its emphasis on practical applications and real-world examples. The authors provide clear explanations of complex concepts and algorithms, making the material accessible to readers with varying levels of expertise in NLP.

    Overall, “Foundations of Statistical Natural Language Processing” is a must-read for anyone looking to gain a deep understanding of the theoretical and practical aspects of statistical NLP. Whether you are a student, researcher, or practitioner in the field, this book will serve as an invaluable resource for years to come.
    #Foundations #Statistical #Natural #Language #Processing #Hinrich #SchützeChristop

  • Statistical Machine Translation

    Statistical Machine Translation



    Statistical Machine Translation

    Price : 14.47

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    Statistical Machine Translation: Breaking Down Language Barriers

    Statistical Machine Translation (SMT) is a powerful technology that has revolutionized the way we communicate across languages. By harnessing the power of data and algorithms, SMT systems are able to automatically translate text from one language to another with impressive accuracy.

    At its core, SMT works by analyzing large amounts of bilingual text data to learn patterns and relationships between languages. This data is then used to generate translations based on statistical models that predict the most likely sequence of words in the target language given the input text in the source language.

    One of the key advantages of SMT is its ability to handle a wide range of languages and language pairs. Whether you need to translate English to Spanish, Chinese to French, or any other combination, SMT systems can provide reliable translations quickly and efficiently.

    While SMT has made significant advancements in recent years, it is important to note that no machine translation system is perfect. Contextual nuances, idiomatic expressions, and cultural references can still pose challenges for SMT systems, leading to occasional inaccuracies in translations.

    Despite these limitations, SMT has made significant strides in breaking down language barriers and facilitating communication across diverse linguistic communities. As technology continues to evolve, we can expect SMT systems to become even more sophisticated and capable of delivering high-quality translations in real-time.

    In conclusion, Statistical Machine Translation is a powerful tool that is transforming the way we communicate globally. By leveraging data and algorithms, SMT systems are making it easier than ever to bridge linguistic divides and connect people from different corners of the world.
    #Statistical #Machine #Translation

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