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Tag: Statistical

  • Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

    Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)


    Price: $16.99
    (as of Dec 24,2024 09:19:44 UTC – Details)




    ASIN ‏ : ‎ B081S6BQ2Y
    Publisher ‏ : ‎ Chapman and Hall/CRC; 1st edition (November 20, 2019)
    Publication date ‏ : ‎ November 20, 2019
    Language ‏ : ‎ English
    File size ‏ : ‎ 33491 KB
    Simultaneous device usage ‏ : ‎ Up to 4 simultaneous devices, per publisher limits
    Text-to-Speech ‏ : ‎ Not enabled
    Enhanced typesetting ‏ : ‎ Not Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 532 pages
    Format ‏ : ‎ Print Replica


    In this post, we will dive into the world of data science and machine learning, focusing on the mathematical and statistical methods that are essential for success in these fields. The book “Data Science and Machine Learning: Mathematical and Statistical Methods” from Chapman & Hall/CRC Machine Learning & Pattern Recognition is a comprehensive guide that covers the fundamental principles and techniques needed to analyze and interpret data effectively.

    This book delves into topics such as probability theory, linear algebra, optimization, and statistical inference, providing readers with a solid foundation in the mathematical and statistical concepts that underpin machine learning algorithms. By understanding these fundamental principles, readers will be better equipped to apply advanced machine learning techniques to real-world problems and make informed decisions based on data.

    Whether you are a data scientist, machine learning engineer, or anyone interested in learning more about the mathematical and statistical methods used in data science and machine learning, this book is an invaluable resource. With clear explanations, practical examples, and insightful tips, “Data Science and Machine Learning: Mathematical and Statistical Methods” will help you develop the skills and knowledge needed to succeed in the rapidly evolving field of data science and machine learning.
    #Data #Science #Machine #Learning #Mathematical #Statistical #Methods #Chapman #HallCRC #Machine #Learning #Pattern #Recognition

  • The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

    The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)


    Price: $89.99 – $62.65
    (as of Dec 24,2024 07:58:27 UTC – Details)




    Publisher ‏ : ‎ Springer; 2nd edition (February 1, 2009)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 745 pages
    ISBN-10 ‏ : ‎ 0387848576
    ISBN-13 ‏ : ‎ 978-0387848570
    Item Weight ‏ : ‎ 2.96 pounds
    Dimensions ‏ : ‎ 9.3 x 6 x 1.4 inches

    Customers say

    Customers find the book’s content informative and useful for graduate students interested in building a deeper theoretical understanding of statistical learning. They appreciate the color illustrations and graphics, which are helpful and nicely colored. The coverage is impressive, covering many areas and applications. Many consider the book a good value for money. However, opinions differ on comprehension and chapter organization. Some find the chapters clear and self-contained, with to-the-point concise explanations, while others mention that the chapters are blurry and difficult to understand.

    AI-generated from the text of customer reviews


    The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

    Are you interested in diving deeper into the world of statistical learning and data mining? Look no further than “The Elements of Statistical Learning” by Trevor Hastie, Robert Tibshirani, and Jerome Friedman.

    This comprehensive textbook covers the fundamental principles of statistical learning, including topics such as supervised and unsupervised learning, model assessment and selection, and more. The second edition includes new chapters on deep learning, nonparametric regression, and ensemble methods, making it an essential resource for both beginners and experienced practitioners.

    Whether you’re a student, researcher, or industry professional, this book offers a thorough introduction to the field of statistical learning and provides valuable insights into how to effectively analyze and interpret data. Pick up your copy today and start mastering the art of data mining, inference, and prediction.
    #Elements #Statistical #Learning #Data #Mining #Inference #Prediction #Edition #Springer #Series #Statistics

  • Statistical Machine Translation – Hardcover By Koehn, Philipp – VERY GOOD

    Statistical Machine Translation – Hardcover By Koehn, Philipp – VERY GOOD



    Statistical Machine Translation – Hardcover By Koehn, Philipp – VERY GOOD

    Price : 15.67

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    Statistical Machine Translation – Hardcover By Koehn, Philipp – VERY GOOD

    Looking to dive into the world of statistical machine translation? Look no further than this highly acclaimed book by Philipp Koehn. With a focus on the statistical foundations of machine translation, this book provides a comprehensive overview of the latest techniques and developments in the field.

    Whether you’re a seasoned professional or just starting out, this book is sure to be a valuable resource for anyone interested in machine translation. With its clear and concise explanations, along with practical examples and exercises, readers can easily grasp the complex concepts behind statistical machine translation.

    Don’t miss out on this essential guide to the world of machine translation. Order your copy of Statistical Machine Translation by Philipp Koehn today and take your understanding of the subject to the next level.
    #Statistical #Machine #Translation #Hardcover #Koehn #Philipp #GOOD

  • Statistical Methods for Speech Recognition (Language, Speech, and Communication)

    Statistical Methods for Speech Recognition (Language, Speech, and Communication)


    Price: $65.00 – $19.84
    (as of Dec 24,2024 03:20:06 UTC – Details)




    Publisher ‏ : ‎ Bradford Books; Fourth Printing edition (January 16, 1998)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 305 pages
    ISBN-10 ‏ : ‎ 0262100665
    ISBN-13 ‏ : ‎ 978-0262100663
    Item Weight ‏ : ‎ 1.4 pounds
    Dimensions ‏ : ‎ 6.25 x 0.88 x 9.25 inches


    Statistical Methods for Speech Recognition (Language, Speech, and Communication)

    Speech recognition is a rapidly growing field with applications in various industries such as healthcare, telecommunications, and automotive. Statistical methods play a crucial role in improving the accuracy and efficiency of speech recognition systems.

    In this post, we will explore the different statistical methods used in speech recognition and how they contribute to the overall performance of the system. We will discuss techniques such as Hidden Markov Models (HMMs), Gaussian Mixture Models (GMMs), and neural networks, and their applications in speech recognition.

    Additionally, we will delve into the challenges faced in speech recognition, such as background noise, accent variations, and speaker variability, and how statistical methods can be used to address these challenges.

    Overall, statistical methods play a vital role in advancing speech recognition technology and improving its accuracy and performance. Stay tuned to learn more about the latest developments in this exciting field!
    #Statistical #Methods #Speech #Recognition #Language #Speech #Communication

  • An Introduction to Statistical – Hardcover, by James Gareth – Very Good

    An Introduction to Statistical – Hardcover, by James Gareth – Very Good



    An Introduction to Statistical – Hardcover, by James Gareth – Very Good

    Price : 21.16

    Ends on : N/A

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    If you’re looking to dive into the world of statistics and data analysis, then “An Introduction to Statistical” by James Gareth is the perfect book for you. This hardcover edition is in very good condition, making it a great addition to your library.

    In this book, Gareth covers all the essential topics in statistics, from basic concepts to more advanced techniques. Whether you’re a beginner or an experienced data analyst, this book will help you sharpen your skills and deepen your understanding of statistical methods.

    With clear explanations and practical examples, “An Introduction to Statistical” is a valuable resource for anyone looking to improve their statistical knowledge. So why wait? Pick up your copy today and start exploring the fascinating world of statistics!
    #Introduction #Statistical #Hardcover #James #Gareth #Good

  • Statistical Principles in Experimental HC Design Winer McGraw Hill VG+

    Statistical Principles in Experimental HC Design Winer McGraw Hill VG+



    Statistical Principles in Experimental HC Design Winer McGraw Hill VG+

    Price : 14.99

    Ends on : N/A

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    Statistical Principles in Experimental Design by Winer McGraw Hill is a valuable resource for anyone looking to understand the fundamental concepts of experimental design and analysis. This book covers a wide range of topics, including hypothesis testing, analysis of variance, and regression analysis.

    With a focus on practical applications and real-world examples, this book provides a comprehensive overview of statistical principles that are essential for designing and analyzing experiments. Whether you are a student studying statistics or a researcher looking to improve your experimental design skills, this book is sure to be a valuable addition to your library.

    The book is in very good condition, with minimal wear and tear. It is a valuable resource for anyone looking to deepen their understanding of statistical principles in experimental design. Don’t miss out on this opportunity to add this excellent book to your collection!

    #ExperimentalDesign #StatisticalPrinciples #WinerMcGrawHill #Statistics #Research #Analysis #BookLovers #GoodCondition
    #Statistical #Principles #Experimental #Design #Winer #McGraw #Hill

  • Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data … and Statistical Analysis (English Edition)

    Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data … and Statistical Analysis (English Edition)


    Price: $37.95
    (as of Dec 18,2024 08:55:32 UTC – Details)


    From the Publisher

    Know more about the book

    Ultimate-Python-Libraries-for-Data-Analysis-and-Visualization

    Ultimate-Python-Libraries-for-Data-Analysis-and-Visualization

    Ultimate-Python-Libraries-for-Data-Analysis-and-Visualization

    Ultimate-Python-Libraries-for-Data-Analysis-and-Visualization

    Ultimate-Python-Libraries-for-Data-Analysis-and-Visualization

    Ultimate-Python-Libraries-for-Data-Analysis-and-Visualization

    Ultimate-Python-Libraries-for-Data-Analysis-and-Visualization

    Ultimate-Python-Libraries-for-Data-Analysis-and-Visualization

    Publisher ‏ : ‎ Orange Education Pvt Ltd (April 4, 2024)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 265 pages
    ISBN-10 ‏ : ‎ 8197081913
    ISBN-13 ‏ : ‎ 978-8197081910
    Item Weight ‏ : ‎ 1.02 pounds
    Dimensions ‏ : ‎ 9.25 x 7.5 x 0.59 inches


    Are you looking to take your data analysis and visualization skills to the next level? Look no further! In our latest post, we explore the ultimate Python libraries that will help you leverage the power of data analysis and visualization.

    From the versatile Pandas and NumPy libraries for data manipulation and calculations, to the powerful Matplotlib and Seaborn libraries for creating stunning visualizations, we’ve got you covered. Plus, we’ll introduce you to cutting-edge AI tools like Julius AI and no-code platforms for seamless data analysis and statistical analysis.

    Whether you’re a beginner or an experienced data analyst, these libraries will help you unlock the full potential of your data. Don’t miss out on this essential guide to mastering data analysis and visualization with Python!
    #Ultimate #Python #Libraries #Data #Analysis #Visualization #Leverage #Pandas #NumPy #Matplotlib #Seaborn #Julius #NoCode #Tools #Data #Statistical #Analysis #English #Edition

  • An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)

    An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)


    Price: $119.99 – $80.81
    (as of Dec 17,2024 21:57:59 UTC – Details)




    Publisher ‏ : ‎ Springer; 2023rd edition (July 1, 2023)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 75 pages
    ISBN-10 ‏ : ‎ 3031387465
    ISBN-13 ‏ : ‎ 978-3031387463
    Item Weight ‏ : ‎ 3.6 pounds
    Dimensions ‏ : ‎ 7.17 x 1.65 x 10.08 inches


    Are you interested in diving into the world of statistical learning and its applications in Python? Look no further than the comprehensive guide “An Introduction to Statistical Learning: with Applications in Python” from the renowned Springer Texts in Statistics series.

    This book serves as a perfect introduction for those looking to understand the fundamentals of statistical learning and how to apply them using Python, a popular and powerful programming language. From basic concepts to more advanced techniques, this book covers a wide range of topics including regression, classification, resampling methods, model selection, and much more.

    Whether you are a student, researcher, data scientist, or anyone looking to enhance their statistical learning skills, this book provides a clear and accessible guide to help you grasp the essential concepts and techniques. With practical examples and exercises throughout, you will be able to put your newfound knowledge into practice and deepen your understanding of statistical learning.

    Don’t miss out on this invaluable resource for learning statistical learning with applications in Python. Pick up your copy of “An Introduction to Statistical Learning” today and start your journey towards mastering this exciting and powerful field.
    #Introduction #Statistical #Learning #Applications #Python #Springer #Texts #Statistics

  • An Introduction to Statistical Learning: – Hardcover, by James Gareth – Good

    An Introduction to Statistical Learning: – Hardcover, by James Gareth – Good



    An Introduction to Statistical Learning: – Hardcover, by James Gareth – Good

    Price : 21.51

    Ends on : N/A

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    If you’re looking to dive into the world of statistical learning, “An Introduction to Statistical Learning” by James Gareth is the perfect place to start. This comprehensive hardcover book covers essential topics such as regression, classification, resampling methods, and more. With clear explanations and practical examples, this book is perfect for beginners and experienced data scientists alike. Get ready to sharpen your statistical skills and take your data analysis to the next level with this highly regarded resource.
    #Introduction #Statistical #Learning #Hardcover #James #Gareth #Good

  • The Evolution of SAS: From Statistical Analysis System to Industry Leader

    The Evolution of SAS: From Statistical Analysis System to Industry Leader


    The Evolution of SAS: From Statistical Analysis System to Industry Leader

    SAS, originally known as the Statistical Analysis System, has come a long way since its inception in the early 1970s. What started as a project at North Carolina State University to analyze agricultural data has evolved into a global leader in analytics and business intelligence software.

    In the early days, SAS was primarily used for statistical analysis in research and academia. However, as the demand for data analysis and business intelligence grew in the corporate world, SAS adapted and expanded its capabilities to meet the needs of businesses. Today, SAS is used by thousands of organizations around the world to analyze data, make informed decisions, and drive business success.

    One of the key factors that has contributed to SAS’s success is its commitment to innovation. Over the years, SAS has consistently invested in research and development to stay ahead of the curve in the rapidly evolving field of analytics. This has led to the development of cutting-edge tools and technologies that enable businesses to extract valuable insights from their data and make data-driven decisions.

    Another reason for SAS’s success is its focus on customer satisfaction. SAS has a dedicated team of experts who work closely with customers to understand their unique challenges and provide tailored solutions to meet their needs. This customer-centric approach has helped SAS build long-lasting relationships with its clients and establish itself as a trusted partner in the world of analytics.

    In addition to its innovative technology and customer focus, SAS has also built a strong ecosystem of partners and third-party developers who contribute to the growth and success of the SAS platform. This network of collaborators helps expand the capabilities of SAS and ensures that it remains at the forefront of the industry.

    As the demand for data analytics continues to grow, SAS shows no signs of slowing down. The company is constantly evolving and adapting to new trends and technologies to meet the changing needs of businesses. With its strong foundation in statistical analysis and its commitment to innovation and customer satisfaction, SAS is well-positioned to remain a leader in the industry for years to come.

    In conclusion, the evolution of SAS from a statistical analysis system to an industry leader is a testament to its ability to adapt, innovate, and meet the needs of its customers. With its cutting-edge technology, customer-centric approach, and strong ecosystem of partners, SAS is well-equipped to continue driving success for businesses around the world.

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