Zion Tech Group

Tag: Statistics

  • Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks


    Price: $39.99 – $27.93
    (as of Jan 17,2025 01:39:10 UTC – Details)


    From the Publisher

    Copy of Bayesian Statistics the Fun Way on black background with No Starch Press logoCopy of Bayesian Statistics the Fun Way on black background with No Starch Press logo

    Spread of Bayesian Statistics the Fun Way on a yellow backgroundSpread of Bayesian Statistics the Fun Way on a yellow background

    ‘Excellent’

    “An excellent introduction to subjects critical to all data scientists.”

    —insideBIGDATA

    Copies of Bayesian Statistics the Fun Way on a black backgroundCopies of Bayesian Statistics the Fun Way on a black background

    ‘Engaging’

    “An engaging introduction . . . the book introduces Bayesian methods in a clear and concise manner, without assuming prior statistical knowledge and, for the most part, eschewing formulations. . . . quite suitable for a crash course in applied Bayesian statistics.”

    —Jose D. Perezgonzalez, Frontiers in Psychology

    Spread of Bayesian Statistics the Fun Way on a yellow backgroundSpread of Bayesian Statistics the Fun Way on a yellow background

    ‘Fantastic’

    “This is one of the best (and only) introductory statistics books I’ve seen . . . it’s a fantastic read.”

    —Chelsea Parlett-Pelleriti, Technical Reviewer

    Man smiling with a brick wall in backgroundMan smiling with a brick wall in background

    About the Author

    Will Kurt currently works as a data scientist at Wayfair, and has been using Bayesian statistics to solve real business problems for over half a decade. He frequently blogs about probability on his website, CountBayesie.com. Kurt is the author of Get Programming with Haskell (Manning Publications) and lives in Boston, Massachusetts.

    Who Should Read This Book

    The only requirement of this book is basic high school algebra. If you flip forward, you’ll see a few instances of math, but nothing particularly onerous. We’ll be using a bit of code written in the R programming language, which I’ll provide and talk through, so there’s no need to have learned R beforehand. We’ll also touch on calculus, but again no prior experience is required, and the appendixes will give you enough information to cover what you’ll need.

    No Starch Press logo. A black circle with a white iron with a star in the centerNo Starch Press logo. A black circle with a white iron with a star in the center

    About the Publisher

    No Starch Press has published the finest in geek entertainment since 1994, creating both timely and timeless titles like Python Crash Course, Python for Kids, How Linux Works, and Hacking: The Art of Exploitation. An independent, San Francisco-based publishing company, No Starch Press focuses on a curated list of well-crafted books that make a difference. They publish on many topics, including computer programming, cybersecurity, operating systems, and LEGO. The titles have personality, the authors are passionate experts, and all the content goes through extensive editorial and technical reviews. Long known for its fun, fearless approach to technology, No Starch Press has earned wide support from STEM enthusiasts worldwide.

    Publisher ‏ : ‎ No Starch Press; Illustrated edition (July 9, 2019)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 256 pages
    ISBN-10 ‏ : ‎ 1593279566
    ISBN-13 ‏ : ‎ 978-1593279561
    Item Weight ‏ : ‎ 1.1 pounds
    Dimensions ‏ : ‎ 7.06 x 0.65 x 9.25 inches

    Customers say

    Customers find the book provides a good introduction to Bayesian statistics using examples to clarify key concepts. They describe it as an enjoyable, entertaining read that helps develop an understanding of the topics. The text is clear and easy to understand, with fluid writing that doesn’t get too wordy.

    AI-generated from the text of customer reviews


    Are you tired of boring statistics textbooks and confusing probability problems? Fear not, because Bayesian Statistics can be fun and engaging with a little help from Star Wars, LEGO, and rubber ducks!

    In this post, we will explore the world of Bayesian Statistics through the lens of our favorite intergalactic saga, Star Wars. Imagine using the Force to predict the probability of your favorite character winning a lightsaber duel, or using Bayesian inference to estimate the odds of the Empire catching the Rebel Alliance.

    But that’s not all – we will also dive into the world of LEGO, where building blocks represent different data points and probabilities. You can create your own LEGO models to visualize complex statistical concepts and test hypotheses in a hands-on, interactive way.

    And let’s not forget about the rubber ducks – a classic tool for teaching probability and decision-making. By conducting experiments with rubber ducks, you can learn about the principles of Bayesian reasoning and make informed predictions about future outcomes.

    So grab your lightsaber, gather your LEGO bricks, and line up your rubber ducks – it’s time to make statistics and probability fun with Bayesian Statistics the fun way! May the Force be with you as you embark on this statistical adventure.
    #Bayesian #Statistics #Fun #Understanding #Statistics #Probability #Star #Wars #LEGO #Rubber #Ducks,machine learning: an applied mathematics introduction

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

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


    Price: $79.99 – $49.95
    (as of Jan 05,2025 02:46:51 UTC – Details)




    Publisher ‏ : ‎ SPRINGER; 1st edition (January 1, 2013)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 426 pages
    ISBN-10 ‏ : ‎ 1461471370
    ISBN-13 ‏ : ‎ 978-1461471370
    Item Weight ‏ : ‎ 2.31 pounds
    Dimensions ‏ : ‎ 6.1 x 1 x 9.3 inches

    Customers say

    Customers find the book provides the right amount of theory and practice. They appreciate the helpful R code examples and comprehensive coverage of statistical learning. The book is praised for its affordability and visual quality, with well-illustrated figures and diagrams that aid visualization. Many customers consider it a useful resource for gaining an understanding of the principles and getting started with R.

    AI-generated from the text of customer reviews


    Have you ever wanted to learn about statistical learning and its applications in R? Look no further than “An Introduction to Statistical Learning: with Applications in R” by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani. This comprehensive textbook, part of the Springer Texts in Statistics series, provides a practical introduction to the field of statistical learning, covering topics such as linear regression, classification, resampling methods, tree-based methods, and more.

    The book is designed for students and practitioners who are interested in learning how to analyze and interpret data using statistical methods. It includes numerous examples and exercises to help readers gain a better understanding of the concepts presented. Additionally, the book includes R code throughout, allowing readers to replicate the analyses and experiments discussed in the text.

    Whether you are a beginner looking to learn the basics of statistical learning or a seasoned practitioner looking to expand your knowledge, “An Introduction to Statistical Learning: with Applications in R” is a valuable resource that will help you master the fundamentals of statistical learning. So, grab your copy today and start your journey into the exciting world of statistical learning!
    #Introduction #Statistical #Learning #Applications #Springer #Texts #Statistics,machine learning: an applied mathematics introduction

  • NOPD Announces Preliminary Crime Statistics for December 22-28, 2024

    NOPD Announces Preliminary Crime Statistics for December 22-28, 2024


    The following is a weekly report of citywide crime statistics compiled by the NOPD Analytics Unit for the period of December 22-28, 2024.

    Click the chart below for a larger version. Please note that these statistical figures are preliminary and subject to further analysis and revision.

     

     

    Gun arrests (arrests made under LA RS 14:95 and sub-items)

    Year to date, the NOPD has made 414 arrests for illegal possession of a firearm. This is a 46-percent decrease compared to 768 arrests made during the same period in 2023.

    Gun seizures

    Additionally, as of December 23, the NOPD in 2024 had seized 2,184 firearms in criminal investigations, a 21-percent compared to 2,776 such seizures made during the same period in 2023.

     

     

    Have a question or correction? Please email NOPD’s Public Affairs Division at nopdpio@nola.gov.





    The New Orleans Police Department (NOPD) has released its preliminary crime statistics for the week of December 22-28, 2024. The data shows a slight decrease in overall crime compared to the previous week, with a total of 325 reported incidents.

    According to the NOPD, there were 45 reported cases of theft, 30 cases of burglary, and 20 cases of assault during this time period. Additionally, there were 10 reported incidents of vandalism and 5 reported cases of robbery.

    While these numbers are still concerning, the NOPD is continuing to work diligently to combat crime in the city and keep residents safe. Increased patrols and community outreach efforts are ongoing in an effort to reduce crime rates and improve public safety.

    Residents are encouraged to remain vigilant and report any suspicious activity to the NOPD. By working together, we can make New Orleans a safer place for everyone.

    Tags:

    NOPD, crime statistics, December 2024, New Orleans crime, crime data, crime report, crime rates, crime trends, NOPD updates, crime updates, crime analysis, crime news

    #NOPD #Announces #Preliminary #Crime #Statistics #December

  • Statistical Methods for Forecasting (Wiley Series in Probability and Statistics)

    Statistical Methods for Forecasting (Wiley Series in Probability and Statistics)



    Statistical Methods for Forecasting (Wiley Series in Probability and Statistics)

    Price : 314.99 – 121.00

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    Statistical Methods for Forecasting: A Comprehensive Guide from the Wiley Series in Probability and Statistics

    Are you looking to improve your forecasting skills and make more accurate predictions? Look no further than the Wiley Series in Probability and Statistics, specifically the book “Statistical Methods for Forecasting.” This comprehensive guide offers a detailed look at various statistical methods used in forecasting, providing readers with the knowledge and tools needed to make informed decisions and predictions.

    From time series analysis to regression models and beyond, this book covers a wide range of statistical techniques that can be applied to forecasting in various fields such as finance, economics, marketing, and more. The authors provide clear explanations, real-world examples, and practical advice on how to implement these methods effectively.

    Whether you are a student, researcher, or professional in need of reliable forecasting techniques, this book is a valuable resource that will help you improve your forecasting accuracy and make better decisions. Don’t miss out on this essential guide from the Wiley Series in Probability and Statistics – get your copy today and start forecasting with confidence!
    #Statistical #Methods #Forecasting #Wiley #Series #Probability #Statistics

  • From Statistics to Neural Networks: Theory and Pattern Recognition Application..

    From Statistics to Neural Networks: Theory and Pattern Recognition Application..



    From Statistics to Neural Networks: Theory and Pattern Recognition Application..

    Price : 134.32

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    From Statistics to Neural Networks: Theory and Pattern Recognition Application

    In the world of data science and machine learning, understanding the basics of statistics is crucial for building and analyzing predictive models. However, as technology continues to advance, the use of neural networks has become increasingly popular for solving complex problems such as image recognition, natural language processing, and more.

    Neural networks are a type of machine learning algorithm inspired by the way the human brain processes information. They consist of layers of interconnected nodes, or neurons, that work together to learn patterns and make predictions based on input data. By training a neural network on a large dataset, it can learn to recognize patterns and relationships within the data, allowing it to make accurate predictions on new, unseen data.

    But how do statistics and neural networks relate to each other? Statistics provides the foundational knowledge and tools for understanding probability, hypothesis testing, and data analysis, which are essential for building and evaluating machine learning models. Neural networks, on the other hand, offer a powerful framework for learning complex patterns and relationships in data, enabling us to solve a wide range of real-world problems.

    One common application of neural networks is in pattern recognition, where the goal is to identify and classify patterns within data. For example, in image recognition, a neural network can be trained to recognize different objects in images, such as cats, dogs, or cars. By analyzing the patterns and features within the images, the neural network can accurately classify the objects with a high level of accuracy.

    In conclusion, the combination of statistics and neural networks offers a powerful approach for solving complex problems in machine learning and pattern recognition. By leveraging the principles of statistics and the capabilities of neural networks, we can build sophisticated models that can learn from data, recognize patterns, and make predictions with high accuracy. As technology continues to evolve, the synergy between statistics and neural networks will continue to drive advancements in AI and machine learning.
    #Statistics #Neural #Networks #Theory #Pattern #Recognition #Application.

  • Business Statistics: For Management & Economics (hardback book)

    Business Statistics: For Management & Economics (hardback book)



    Business Statistics: For Management & Economics (hardback book)

    Price : 20.35

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    Business Statistics: For Management & Economics (Hardback Book)

    Are you looking to improve your understanding of statistical concepts in the world of business and economics? Look no further than this comprehensive hardback book, “Business Statistics: For Management & Economics.”

    This book covers a wide range of topics, including data collection, analysis, interpretation, and presentation. Whether you are a student studying business or a professional looking to enhance your statistical skills, this book is the perfect resource for you.

    Written by experts in the field, this book provides real-world examples and case studies to help you apply statistical concepts to practical business situations. With clear explanations and step-by-step guides, you will be able to master key statistical techniques and tools in no time.

    Don’t miss out on this valuable resource for improving your statistical skills in management and economics. Order your copy of “Business Statistics: For Management & Economics” today!
    #Business #Statistics #Management #Economics #hardback #book, Data Management

  • Practical Statistics for Data Scientists 50 Essential Concepts by Andrew Bruce

    Practical Statistics for Data Scientists 50 Essential Concepts by Andrew Bruce



    Practical Statistics for Data Scientists 50 Essential Concepts by Andrew Bruce

    Price : 29.79

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    Practical Statistics for Data Scientists: 50 Essential Concepts by Andrew Bruce

    If you’re a data scientist looking to improve your statistical knowledge and skills, then “Practical Statistics for Data Scientists: 50 Essential Concepts” by Andrew Bruce is a must-read book. This comprehensive guide covers all the fundamental statistical concepts that every data scientist should know, and provides practical examples and case studies to help you apply these concepts in real-world scenarios.

    From basic concepts like probability and hypothesis testing to more advanced topics like regression analysis and machine learning, this book covers it all. Whether you’re a beginner looking to build a solid foundation in statistics or an experienced data scientist looking to sharpen your skills, this book has something for everyone.

    With clear explanations, helpful illustrations, and hands-on exercises, “Practical Statistics for Data Scientists” is a valuable resource for anyone looking to improve their statistical knowledge and become a more effective data scientist. So why wait? Pick up a copy of this book today and take your statistical skills to the next level!
    #Practical #Statistics #Data #Scientists #Essential #Concepts #Andrew #Bruce, Data Management

  • AI, Data Science, Python and Statistics for Beginners Ser.: Data Analytics…

    AI, Data Science, Python and Statistics for Beginners Ser.: Data Analytics…



    AI, Data Science, Python and Statistics for Beginners Ser.: Data Analytics…

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    Data analytics is a crucial skill in today’s data-driven world. Whether you’re a business professional looking to make data-driven decisions or a student interested in pursuing a career in data science, understanding data analytics is essential.

    In our AI, Data Science, Python and Statistics for Beginners series, we will cover the fundamentals of data analytics. From understanding basic statistical concepts to learning how to use Python for data analysis, this series will provide you with the knowledge and skills you need to excel in the world of data analytics.

    Stay tuned for our upcoming posts in the AI, Data Science, Python and Statistics for Beginners series, where we will dive deeper into topics such as data visualization, machine learning, and more. Don’t miss out on this opportunity to enhance your data analytics skills and stay ahead in your career!
    #Data #Science #Python #Statistics #Beginners #Ser #Data #Analytics..,starting data analytics with generative ai and python

  • Data Science: An Introduction to Statistics and Machine Learning by Plaue: Used

    Data Science: An Introduction to Statistics and Machine Learning by Plaue: Used



    Data Science: An Introduction to Statistics and Machine Learning by Plaue: Used

    Price : 18.36

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    Are you interested in delving into the world of data science? Look no further than “Data Science: An Introduction to Statistics and Machine Learning” by Plaue. This comprehensive guide covers the fundamental concepts of statistics and machine learning, providing you with a solid foundation to build upon.

    Whether you’re a beginner looking to explore the basics or a seasoned professional seeking to enhance your skills, this book has something for everyone. From understanding the importance of data collection and analysis to mastering predictive modeling techniques, “Data Science” offers practical insights and real-world examples to help you succeed in the field.

    Don’t miss out on this valuable resource – pick up your copy of “Data Science: An Introduction to Statistics and Machine Learning” by Plaue today!
    #Data #Science #Introduction #Statistics #Machine #Learning #Plaue

  • Business Statistics: A First Course by Levine

    Business Statistics: A First Course by Levine



    Business Statistics: A First Course by Levine

    Price : 141.99

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    Business Statistics: A First Course by Levine

    Looking to improve your understanding of statistics in a business context? Look no further than “Business Statistics: A First Course” by David M. Levine. This comprehensive textbook covers all the essential topics in business statistics, from descriptive statistics to regression analysis and beyond.

    With a clear and engaging writing style, Levine breaks down complex statistical concepts into easy-to-understand explanations, making it accessible for students with varying levels of statistical knowledge. The book also includes real-world examples and case studies to show how statistical techniques are used in actual business situations.

    Whether you’re a business student looking to strengthen your statistical skills or a professional seeking to enhance your analytical abilities, “Business Statistics: A First Course” is a must-have resource. Pick up a copy today and take your understanding of statistics to the next level.
    #Business #Statistics #Levine, Data Management

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