Probability and Statistics for Computer Science
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Probability and Statistics for Computer Science
Probability and Statistics for Computer Science provides a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning.
Probability and Statistics for Computer Science
ერთეულის #: 73194537

Probability and Statistics for Computer Science

ერთეულის #: 73194537

GEL 250

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Probability and Statistics for Computer Science provides a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning.
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What Stands Out

Comprehensive Coverage
Covers essential probability and statistics concepts tailored for computer science applications, ensuring learners acquire relevant skills for data analysis, machine learning, and algorithm development.
Practical Examples
Incorporates real-world examples and projects, bridging theoretical concepts with practical implementation, enhancing students' understanding and application of statistical methods in computing.
Accessible Format
Designed for a diverse audience, the book simplifies complex theories and includes illustrations, making advanced statistical concepts approachable for students with varying backgrounds.

Პროდუქტის აღწერილობა

Shop Probability and Statistics for Computer Science online at a best price in Georgia. 3319644092
Item Weight1.5 lbs (680 grams)

Who Should Buy?

Suitable For
  • Computer Science Students

    Ideal for students studying computer science nuances in probability and statistics for algorithmic and data analysis.

  • Data Analysts

    Great resource for data analysts looking to strengthen their statistical foundation and understanding for data interpretation.

  • Machine Learning Enthusiasts

    Highly beneficial for those entering machine learning, providing insights into probability models and statistical methodologies.

Not Suitable For
  • Complete Beginners

    Individuals with no prior knowledge of statistics may struggle with the concepts without foundational background.

  • Advanced Statisticians

    Experienced statisticians may find the content basic and lacking depth for advanced statistical theories and applications.

  • Casual Learners

    Not suitable for those seeking a light introduction; it’s focused and requires commitment to comprehend effectively.

პროდუქტის აღწერილობა

Probability and Statistics for Computer Science

გაქვთ რაიმე შეკითხვა? მოგვმართეთ ჩათში

მომხმარებელთა შეკითხვები და პასუხები

  • კითხვა: What topics are covered in Probability and Statistics for Computer Science?

    პასუხი: This book provides an extensive overview of key concepts such as probability theory, statistical inference, hypothesis testing, and regression analysis. It critically examines the mathematical foundations necessary for data analysis and offers practical applications relevant to computer science. Students and professionals will find it beneficial for understanding machine learning algorithms and data-driven decision making.
  • კითხვა: Who is the target audience for this book?

    პასუხი: The book is primarily aimed at computer science students and professionals who wish to enhance their understanding of probability and statistics. It’s also suitable for researchers looking to apply statistical methods in their work. With its clear explanations and practical examples, it serves as an excellent resource for anyone interested in data science, machine learning, or quantitative analysis.
  • კითხვა: Is the book suitable for beginners in statistics and probability?

    პასუხი: Yes, Probability and Statistics for Computer Science is designed to be accessible to beginners. The author begins with fundamental concepts, progressively building up to more complex topics. Clear definitions, examples, and exercises help facilitate a smooth learning curve, making it ideal for novices who are eager to learn data analysis principles.
  • კითხვა: Does the book include practical exercises or examples?

    პასუხი: Absolutely! The book is replete with practical exercises and real-world examples. These not only reinforce the theoretical concepts discussed but also provide opportunities for hands-on practice. Readers can apply statistical methods to actual data sets, improving their understanding and skills in data analysis and interpretation.
  • კითხვა: What software or tools does this book recommend for statistical analysis?

    პასუხი: The book recommends popular statistical software tools such as R and Python, which are widely used for statistical analysis in the field of computer science. It provides examples of how to implement the statistical concepts through coding, making it a valuable guide for those looking to develop practical programming skills alongside theoretical knowledge.
  • კითხვა: Can this book help with preparing for data science interviews?

    პასუხი: Yes, this book can serve as a valuable resource for preparing for data science interviews. It covers essential probability and statistics topics often discussed in technical interviews. By mastering the concepts outlined in this book, candidates can approach interview questions with confidence and demonstrate their analytical skills effectively.
  • კითხვა: Are there any online resources or supplementary materials available with this book?

    პასუხი: Yes, many versions of this book include supplemental online resources such as lecture notes, additional exercises, and video tutorials. The availability of these materials can enrich the learning experience, providing further clarification on difficult topics and enhancing understanding through varied instructional methods.
  • კითხვა: How does this book compare to other statistics books for computer science?

    პასუხი: Probability and Statistics for Computer Science stands out due to its targeted approach towards computer scientists. In contrast to more general statistics books, it integrates examples from computer science and focuses on applications relevant to the field. This specialized perspective ensures that readers can directly apply the concepts in their projects and work scenarios.
  • კითხვა: Can educators use this book for teaching courses on statistics?

    პასუხი: Certainly, this book can be an excellent primary or supplementary text for teaching statistics in computer science. Its structured format, combined with clear explanations and examples, makes it a suitable choice for classroom settings. Educators can utilize its exercises and practical applications to enhance student engagement and comprehension of the material.
  • კითხვა: Where can I buy Probability and Statistics for Computer Science 1st ed. 2018 Edition in Georgia?

    პასუხი: You can purchase Probability and Statistics for Computer Science 1st ed. 2018 Edition from Ubuy in Georgia. Ubuy offers a convenient shopping experience with a variety of options for obtaining essential academic resources and literature, making it a reliable choice for students and professionals alike.

Probability & Statistics Editorial Review

სარედაქციო მიმოხილვები ვერ მოიძებნა

Customer Reviews & Ratings

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ამ პროდუქტის მიმოხილვა

გაუზიარეთ თქვენი აზრები სხვა მომხმარებლებს

Დადებითი

  • Clear explanations of concepts
  • Useful for beginners
  • Good range of examples
  • Well-organized chapters
  • Engaging exercises

მინუსები

  • Some topics lack depth.

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  • შეზღუდვები: გთხოვთ, გაითვალისწინოთ, რომ საზღვარგარეთ გაგზავნილი პროდუქტებისთვის მწარმოებლის გარანტია შეიძლება არ იყოს მოქმედი; მწარმოებლის მომსახურების პარამეტრები შეიძლება არ იყოს ხელმისაწვდომი; პროდუქტის ინსტრუქციები და უსაფრთხოების გაფრთხილებები შეიძლება არ იყოს დანიშნულების ქვეყნის ენაზე; პროდუქტები (და მასთან დაკავშირებული მასალები) შეიძლება არ იყოს შემუშავებული დანიშნულების ქვეყნის სტანდარტების, სპეციფიკაციებისა და მარკირების მოთხოვნების შესაბამისად; და პროდუქტები შეიძლება არ შეესაბამებოდეს დანიშნულების ქვეყნის ძაბვისა და სხვა ელექტრო სტანდარტებს (საჭიროების შემთხვევაში საჭიროა ადაპტერი ან გადამყვანი). მიმღები პასუხისმგებელია უზრუნველყოს, რომ პროდუქტი კანონიერად შემოიტანოს დანიშნულების ქვეყანაში. Ubuy-ს ან მისი აფილირებული პირების მეშვეობით შეკვეთისას მიმღები არის რეგისტრირებული იმპორტიორი და მან უნდა გაითვალისწინოს დანიშნულების ქვეყნის ყველა კანონი და დებულება.
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მახასიათებლები და უპირატესობები

  • Comprehensive background in data analysis, probability, random variables, and statistical methods
  • Includes topics like machine learning, simulation, classification, regression, and clustering
  • Illustrated throughout with worked examples and pedagogical elements
  • Problems and Programming Exercises at the end of each chapter
  • Instructor resources available with model solutions and presentation slides

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