Catalog Search Results
Publisher
John Wiley & Sons, Inc
Pub. Date
2023.
Language
English
Description
FUZZY COMPUTING IN DATA SCIENCE This book comprehensively explains how to use various fuzzy-based models to solve real-time industrial challenges. The book provides information about fundamental aspects of the field and explores the myriad applications of fuzzy logic techniques and methods. It presents basic conceptual considerations and case studies of applications of fuzzy computation. It covers the fundamental concepts and techniques for system...
Author
Publisher
Apress
Pub. Date
[2018]
Language
English
Description
Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis. Python for Data Mining Quick Syntax Reference covers each concept concisely, with many illustrative examples. You'll be introduced to several data...
Author
Publisher
O'Reilly Media, Inc
Pub. Date
[2022]
Language
English
Description
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.
Author
Publisher
Apress
Pub. Date
2021
Language
English
Description
Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models. Each chapter includes a set of examples allowing you to understand the concepts, assumptions, and procedures behind each model. The book covers parametric...
Author
Publisher
Apress
Pub. Date
[2019]
Language
English
Description
Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods. This book covers the most popular Python 3 frameworks for both local and distributed (in premise and cloud based) processing. Along the way, you will be introduced to many popular open-source frameworks, like, SciPy, scikitlearn, Numba, Apache Spark, etc. The book is structured around examples, so you will grasp...
Author
Publisher
Apress
Pub. Date
2021
Language
English
Description
The call for innovation within both society and all sectors of enterprise at large grows louder every day. In order to achieve this, organizations need to attract talent with the insight and creativity necessary to be able to understand the needs of not only this generation, but also future generations. Make Your Organization a Center of Innovation introduces key frameworks that can be adapted to any business or team focused on innovation. Some aspects...
Author
Publisher
O'Reilly Media
Pub. Date
2018.
Language
English
Description
In this book, you'll find 54 hands-on descriptions that help you DO the key methods used in service design. These methods include instructions, guidelines, and tips-and-tricks for activities within research, ideation, prototyping, and facilitation. This is the print version of the method companion to the book This Is Service Design Doing (#TiSDD). It includes the same content that you can find free on the book website, tisdd.com, but nicely revisualized...
Author
Publisher
Apress
Pub. Date
[2018]
Language
English
Description
Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This revision is fully updated with new content on social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At...
Author
Publisher
O'Reilly
Pub. Date
[2018]
Language
English
Description
Why is GraphQL the most innovative technology for fetching data since Ajax? By providing a query language for your APIs and a runtime for fulfilling queries with your data, GraphQL presents a clear alternative to REST and ad hoc web service architectures. With this practical guide, Alex Banks and Eve Porcello deliver a clear learning path for frontend web developers, backend engineers, and project and product managers looking to get started with GraphQL....
Author
Publisher
O'Reilly Media, Inc
Pub. Date
2022.
Language
English
Description
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 will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data...
Author
Publisher
Packt Publishing, Limited
Pub. Date
2022
Language
English
Description
The missing manual to becoming a successful data scientist--develop the skills to use key tools and the knowledge to thrive in the AI/ML landscape Key Features Learn from an AI patent-holding engineering manager with deep experience in Anaconda tools and OSS Get to grips with critical aspects of data science such as bias in datasets and interpretability of models Gain a deeper understanding of the AI/ML landscape through real-world examples and practical...
Author
Publisher
Editions First
Pub. Date
2018
Language
English
Description
Entrez de plain-pied dans le monde fascinant la data science Vous aussi participez à la révolution qui ramène l'intelligence artificielle au coeur de notre société, grace aux data scientists. La data science consiste à traduire des problèmes de toute autre nature, en problèmes de modélisation quantitative, résolus par des algorithmes de traitement. Ce livre se présente comme une référence pour tous les développeurs, statisticiens ou...
Author
Publisher
mitp Verlag
Pub. Date
2022.
Language
Deutsch
Description
Programmierkenntnisse sind heute eine Kompetenz, die nicht nur in IT-nahen Berufen vorausgesetzt wird. Dieses Buch richtet sich besonders an alle, die Python in Studium und Ausbildung lernen und keine Vorkenntnisse in der Programmierung haben. Die Ausrichtung des Studiengangs spielt dabei keine Rolle. Alle Themen werden fachunabhängig erläutert und die Übungen und praktischen Beispiele decken viele unterschiedliche Anwendungsbereiche ab, so dass...
Author
Publisher
Manning Publications Co
Language
English
Formats
Description
Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine...
Author
Publisher
Wiley-ISTE
Pub. Date
2019.
Language
English
Description
This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with appropriate applications. Volume 1 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into three parts: Part 1 presents clustering and regression...
Author
Publisher
SAS Institute
Pub. Date
2021
Language
English
Description
Boost your understanding of data science techniques to solve real-world problems Data science is an exciting, interdisciplinary field that extracts insights from data to solve business problems. This book introduces common data science techniques and methods and shows you how to apply them in real-world case studies. From data preparation and exploration to model assessment and deployment, this book describes every stage of the analytics life cycle,...
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