Snowflake Essentials: Getting Started with Big Data in the Cloud, Bell Frank, Chirumamilla Raj, Joshi Bhaskar B.
Автор: Mishra B. S. P., Dehuri Satchidananda, Kim Euiwhan Название: Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing ISBN: 3319801600 ISBN-13(EAN): 9783319801605 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume is aiming at a wide range of readers andresearchers in the area of Big Data by presenting the recent advances in the fieldsof Big Data Analysis, as well as the techniques and tools used to analyze it.
Автор: Tejada Zoiner Название: Mastering Azure Analytics: Architecting in the Cloud with Azure Data Lake, Hdinsight, and Spark ISBN: 1491956658 ISBN-13(EAN): 9781491956656 Издательство: Wiley Рейтинг: Цена: 38010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This practical book helps you understand the breadth of Azure services by organizing them into a reference framework you can use when crafting your own big data analytics solution.
Автор: Church James Название: Getting Started with Haskell Data Analysis ISBN: 1789802865 ISBN-13(EAN): 9781789802863 Издательство: Неизвестно Рейтинг: Цена: 31870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data analysis is a part of computer science and part statistics. An important part of data analysis is validating your assumptions with real-world data to see if there is a pattern or a particular user behavior that you can validate. This book will help you get up to speed with the basics of data analysis and approaches in the Haskell language.
Автор: Pablo Duboue Название: The Art of Feature Engineering: Essentials for Machine Learning ISBN: 1108709389 ISBN-13(EAN): 9781108709385 Издательство: Cambridge Academ Рейтинг: Цена: 46470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is a guide for data scientists who want to use feature engineering to improve the performance of their machine learning solutions. The book provides a unified view of the field, beginning with basic concepts and techniques, followed by a cross-domain approach to advanced topics, like texts and images, with hands-on case studies.
Become an efficient data science practitioner by understanding Python's key concepts
Key Features:
Quickly get familiar with data science using Python 3.5
Save time (and effort) with all the essential tools explained
Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience
Book Description:
Fully expanded and upgraded, the second edition of Python Data Science Essentials takes you through all you need to know to suceed in data science using Python. Get modern insight into the core of Python data, including the latest versions of Jupyter notebooks, NumPy, pandas and scikit-learn. Look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow.
Dive into building your essential Python 3.5 data science toolbox, using a single-source approach that will allow to to work with Python 2.7 as well. Get to grips fast with data munging and preprocessing, and all the techniques you need to load, analyse, and process your data. Finally, get a complete overview of principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users.
What You Will Learn:
Set up your data science toolbox using a Python scientific environment on Windows, Mac, and Linux
Get data ready for your data science project
Manipulate, fix, and explore data in order to solve data science problems
Set up an experimental pipeline to test your data science hypotheses
Choose the most effective and scalable learning algorithm for your data science tasks
Optimize your machine learning models to get the best performance
Explore and cluster graphs, taking advantage of interconnections and links in your data
Who this book is for:
If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills.
Автор: Weizhong Qiang; Xianghan Zheng; Ching-Hsien Hsu Название: Cloud Computing and Big Data ISBN: 3319284290 ISBN-13(EAN): 9783319284293 Издательство: Springer Рейтинг: Цена: 52170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of theSecond International Conference on Cloud Computing and Big Data, CloudCom-Asia2015, held in Huangshan, China, in June 2015. The 29 full papers and two keynote speeches werecarefully reviewed and selected from 106 submissions.
Автор: Mavromoustakis Название: Advances in Mobile Cloud Computing and Big Data in the 5G Era ISBN: 331945143X ISBN-13(EAN): 9783319451435 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks.The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art on Big Data management. It demonstrates and discusses methods and practices to improve multi-source Big Data manipulation techniques, as well as the integration of resources availability through the 3As (Anywhere, Anything, Anytime) paradigm, using the 5G access technologies.
Автор: V. Vijayakumar; V. Neelanarayanan Название: Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC – 16`) ISBN: 3319807862 ISBN-13(EAN): 9783319807867 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This proceedings volume contains selected papers that were presented in the 3rd International Symposium on Big data and Cloud Computing Challenges, 2016 held at VIT University, India on March 10 and 11.
Автор: Mavromoustakis Constandinos X., Mastorakis George, Dobre Ciprian Название: Advances in Mobile Cloud Computing and Big Data in the 5g Era ISBN: 3319832220 ISBN-13(EAN): 9783319832227 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction and Applications of MCC and Big Data Paradigm in 5G Access.- Architectures of MCC and Big Data Paradigm.- MCC and Big Data Paradigm in Smart Ambient Systems.- MCC and Big Data Control and Data Management.
Автор: Raj & Chandra Deka Название: Cloud Infrastructures For Big Data Analytics ISBN: 1466658649 ISBN-13(EAN): 9781466658646 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 335410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Clouds are being positioned as the next-generation consolidated, centralised, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional, applications and services.Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organisations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.
Автор: Domenico Talia Название: Data Analysis in the Cloud ISBN: 0128028815 ISBN-13(EAN): 9780128028810 Издательство: Elsevier Science Рейтинг: Цена: 35920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud.
Coverage includes scalable data mining and knowledge discovery techniques together with cloud computing concepts, models, and systems. Specific sections focus on map-reduce and NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book examines research trends such as Big Data pervasive computing, data-intensive exascale computing, and massive social network analysis.
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