Introduction Data Science 2nd (17 results)

Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Condition: As New. 2nd Edition. Text is clean, cover has very slight bump to lower spine edge. Very nice book Quantity Available: 1. Category: Computers & Internet; ISBN: 0314933069. ISBN/EAN: 9780314933065. Pictures of this item not already displayed here available upon request. Inventory No: 1560734451. …

Hardcover. Condition: Very Good. 2nd Edition. Text is clean, cover in nice condition, edges of pages have very light soiling. Quantity Available: 1. Category: Computers & Internet; ISBN: 0314933069. ISBN/EAN: 9780314933065. Pictures of this item not already displayed here available upon request. Inventory No: 1560734452. …

Hardcover. Condition: New. 2nd Edition. Brand New Multiple copies available this title. Quantity Available: 2. Category: Computers & Internet; ISBN: 0314933069. ISBN/EAN: 9780314933065. Pictures of this item not already displayed here available upon request. Inventory No: 1560734449.

Condition: New.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: New.

Condition: New.

hardcover. Condition: Good. 2nd Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

paperback. Condition: New. Paperback.Pub Date:2021-01-01 Pages:336 Language:Chinese Publisher:Peoples Posts and Telecommunications Publishing House This book is based on the Python language environment. It explains data science work from scratch. tells the skills and know-how required for data science work. and leads Readers are familiar with the core knowledge of data science: mathematics and statistics.?The author uses a large number of practical examples to show in detail what data science is. and introduces the lib.…

This is the second edition of an academic textbook providing a comprehensive introduction to the field of information science. Published by Gakujutsu Tosho Shuppansha, it serves as a foundational volume within their respected Data Science Series, indicating a thorough treatment of the subject. Ideal for students and researchers, this edition likely covers essential theories and contemporary applications of information science. Note: The text is entirely in Japanese. Brand New Japanese Edition. Ships worldwide from Japan via Japan Post. Expedited shipping via FedEx available.…

paperback. Condition: New. Paperback. Language: Chinese Publisher: Peoples Posts and Telecommunications Press Data Science Practice was born out of the teaching notes of Columbia Universitys Introduction to Data Science course. It defines the scope of data science research. It is a book that focuses on humanistic spirit. multi-angle and comprehensive A practical guide that provides an in-depth introduction to data science can be called a practical treasure in the era of big data.?This book aims to enable readers to sol.…

This is the second edition of a highly regarded MIT textbook, translated into Japanese, focusing on programming in Python. It serves as a comprehensive introduction to Python for data science and various applications, making it an excellent resource for students and professionals looking to master the language for analytical tasks. The book covers fundamental programming concepts, data structures, algorithms, and their practical implementation within the data science domain. Note: The text is entirely in Japanese. Brand New Japanese Edition. Ships worldwide from Japan via Japan Post. Expedited shipping via FedEx available.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build real-world machine learning solutions from scratch using R-no advanced math or prior coding experience required.This second edition of Machine Learning and Data Science offers an accessible, hands-on introduction to the core principles of machine learning, statistical modeling, and practical data science-without overwhelming readers with complex formulas or technical jargon. Perfect for beginners, analysts, and business professionals transitioning into data science, this book provides a complete project-based roadmap from data wrangling to model deployment using the powerful R programming language. Whether you're analyzing marketing trends, predicting customer behavior, or detecting fraud, this book equips you with the foundation needed to solve real problems using machine learning.Author and data scientist Daniel D. Gutierrez draws on his experience teaching at UCLA and years of industry practice to guide you through essential topics, including regression, classification, clustering, feature engineering, and model evaluation. You'll explore supervised and unsupervised learning techniques, apply visualization strategies, and build intuitive workflows that mirror the data science process used by professionals across finance, healthcare, marketing, and more. Unlike overly theoretical texts, this guide emphasizes application-what to do, why to do it, and how to do it in R.Inside, you'll find step-by-step tutorials, use case examples from Kaggle competitions, and easy-to-follow code snippets that let you apply machine learning concepts immediately. Learn how to access and clean real-world data sets, implement algorithms like decision trees, random forests, logistic regression, and k-means clustering, and avoid common pitfalls such as data leakage and overfitting. Move from exploratory data analysis to powerful predictive modeling.Whether you're a student, aspiring data scientist, or working analyst seeking to expand your skills, this is your essential, beginner-friendly guide to statistical learning and machine learning with R.…

Taschenbuch. Condition: Neu. Machine Learning and Data Science, 2nd Edition | An Introduction to Statistical Learning Methods with R | Daniel Gutierrez | Taschenbuch | Englisch | 2025 | Technics Publications | EAN 9798898160067 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…