Move up the Kaggle leaderboards and supercharge your data science and machine learning career by analyzing famous competitions and working through exercises. Purchase of the print or Kindle book inc……続きを見る
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer……続きを見る
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer……続きを見る
What is bad data? Some people consider it a technical phenomenon, like missing values or malformed records, but bad data includes a lot more. In this handbook, data expert Q. Ethan McCallum has gath……続きを見る
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer……続きを見る
This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what con……続きを見る
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspec……続きを見る
This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful ……続きを見る
In today's digital age, the ability to create visually stunning images is a valuable asset in various industries. With the rise of artificial intelligence (AI), image creation has become more access……続きを見る
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer……続きを見る
This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it applicable for both beginning and advanced students of applie……続きを見る
出版社： Springer International Publishing
発売日： 2022年10月09日
Extensive research conducted by the Hasso Plattner Design Thinking Research Program at Stanford University in Palo Alto, California, USA, and the Hasso Plattner Institute in Potsdam, Germany, has yi……続きを見る
Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton,focuses on the concepts foundational for students starting a business analytics or data science degree program. T……続きを見る
著者：John von Aspen
出版社： Espresso Tutorials GmbH
発売日： 2020年02月14日
This book offers a comprehensive introduction to SAP S/4HANA Sales and Distribution (SD). You will learn the basic fundamentals of SAP SD, with examples based on a case-study approach. Using a ficti……続きを見る
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you……続きを見る
This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real marketing questions, organized by key topic areas. Following ……続きを見る
This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course……続きを見る
Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually g……続きを見る
著者：Andrew T. Duchowski
出版社： Springer International Publishing
発売日： 2017年06月22日
This book focuses on video-based, corneal-reflection eye trackers – the most widely available and affordable type of system, and takes a look at a number of interesting and challenging applications ……続きを見る
Must-have study guide for the SAS® Certified Statistical Business Analyst Using SAS®9: Regression and Modeling exam!
Written for both new and experienced SAS programmers, the SAS® Certification Prep……続きを見る
Learn how to apply the principles of machine learning to time series modeling with this indispensable resource
Machine Learning for Time Series Forecasting with Python is an incisive and straightfor……続きを見る
Solve real-world statistical problems using the most popular R packages and techniques
Key Features
Learn how to apply statistical methods to your everyday research with handy recipes
Foster your a……続きを見る
Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows……続きを見る
The Tips described are a fantastic and useful result of all experience over 10 years with Commvault. It will not only give some best practices towards new and experienced Commvault administrators bu……続きを見る
Explore the infinite possibilities offered by Artificial Intelligence and Neural Networks
KEY FEATURES
● Covers numerous concepts, techniques, best practices and troubleshooting tips by community ex……続きを見る
Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models. You’ll learn how graph analytic……続きを見る
