This book discusses various partitioning strategies tailored for traditional machine learning algorithms. It examines how data can be divided efficiently to enhance the performance and scalability of classic machine learning models. It explores ho...Loe edasi...
Take your data preparation skills to the next level by converting any type of data asset into a structured, formatted, and readily usable dataset Key Features Maximize the value of your data through effective data cleaning meth...Loe edasi...
(Ilmumisaeg: 18-Mar-2024, Paperback / softback, Kirjastus: John Wiley & Sons Inc, ISBN-13: 9781394243327)
The Quick Guide to Prompt Engineering is a simple guide and a starting explainer for the practical user. Anyone should be able to pick up the book, start designing prompts, and use them in their work. Khan discusses decoding generative AI, prompt en...Loe edasi...
Streamline your workflow, transform raw data into actionable insights, and use Alteryx Designer to shape, design, and visualize data Key Features Acquire the skills necessary to perform analytics operations like an expert Disco...Loe edasi...
There are awesome discoveries to be made and valuable stories to be told in datasets--and this book will help you uncover them. Whether you already work with data or just want to understand its possibilities, the techniques and advice in this...Loe edasi...
This edited book provides a selection of chapters to improve the understanding of the impact of imbalanced data and its resolving techniques based on the Data Preprocessing, Active Learning, and Cost Perceptive Approaches--...Loe edasi...
(Ilmumisaeg: 04-Jun-2021, Hardback, Kirjastus: Business Science Reference, ISBN-13: 9781799873716)
Offers new aspects for imbalanced data learning by providing the advancements of the traditional methods with respect to big data through case studies and research. The book provides theoretical frameworks and the latest empirical research findings...Loe edasi...
Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges.Three parts divide Data Mining:Part I describes technol...Loe edasi...
With a growing ecosystem of tools and libraries available, and the flexibility to run on many platforms (web, desktop and mobile), JavaScript is a terrific all-round environment for all data wrangling needs!Data Wrangling with JavaS...Loe edasi...
Fedor V. Fomin, Daniel Lokshtanov, Saket Saurabh, Meirav Zehavi
(Ilmumisaeg: 10-Jan-2019, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781107057760)
Preprocessing, or data reduction, is a standard technique for simplifying and speeding up computation. Written by a team of experts in the field, this book introduces a rapidly developing area of preprocessing analysis known as kernelization. The aut...Loe edasi...
Campesato introduces a powerful, flexible, and free set of data manipulation and cleansing commands developed during decades in the Unix/Linux environment that are now available in any operating system with a minimum amount of effort to set up th...Loe edasi...
(Ilmumisaeg: 01-Dec-2017, Hardback, Kirjastus: John Wiley & Sons Inc, ISBN-13: 9781119080022)
The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process. Adding to the...Loe edasi...
(Ilmumisaeg: 15-Mar-2017, Paperback / softback, Kirjastus: SAS Institute, ISBN-13: 9781629607962)
Find errors and clean up data easily using SAS®! Thoroughly updated, Codys Data Cleaning Techniques Using SAS, Third Edition, addresses tasks that nearly every data analyst needs to do - that is, make sure that data errors are located and corrected....Loe edasi...
(Ilmumisaeg: 11-Sep-2014, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783319102467)
Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it...Loe edasi...
This book provides a combination of the operational details of imaging hardware and analytical theories of low-level image processing functions. By a blend of optics, stage lighting, and framegrabber descriptions, and detailed theories of CCD and CMO...Loe edasi...
(Ilmumisaeg: 01-May-2008, Paperback / softback, Kirjastus: SAS Publishing, ISBN-13: 9781599946597)
Now a retired professor from the Robert Wood Johnson Medical School, Cody is a private consultant and national instructor for SAS, and the author or coauthor of numerous books on SAS. He offers novice and experienced SAS programmers a practical guide...Loe edasi...
After an overview of analytical techniques used in data mining, this book develops a modeling strategy through an iterative data exploration loop and incorporation of domain knowledge. Highlighting new approaches and methodologies, and using case st...Loe edasi...
Sari: The Morgan Kaufmann Series in Data Management Systems
(Ilmumisaeg: 15-Apr-1999, Paperback / softback, Kirjastus: Morgan Kaufmann Publishers In, ISBN-13: 9781558605299)
Data Preparation for Data Mining addresses an issue unfortunately ignored by most authorities on data mining: data preparation. Thanks largely to its perceived difficulty, data preparation has traditionally taken a backseat to the more allu...Loe edasi...
