Data Science, Wang

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 69870.00 T
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Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Автор: Haines Scott
Название: Modern Data Engineering with Apache Spark: A Hands-On Guide for Building Mission-Critical Streaming Applications
ISBN: 1484274512 ISBN-13(EAN): 9781484274514
Издательство: Springer
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Цена: 55890.00 T
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Описание: Leverage Apache Spark within a modern data engineering ecosystem. This hands-on guide will teach you how to write fully functional applications, follow industry best practices, and learn the rationale behind these decisions. With Apache Spark as the foundation, you will follow a step-by-step journey beginning with the basics of data ingestion, processing, and transformation, and ending up with an entire local data platform running Apache Spark, Apache Zeppelin, Apache Kafka, Redis, MySQL, Minio (S3), and Apache Airflow. Apache Spark applications solve a wide range of data problems from traditional data loading and processing to rich SQL-based analysis as well as complex machine learning workloads and even near real-time processing of streaming data. Spark fits well as a central foundation for any data engineering workload. This book will teach you to write interactive Spark applications using Apache Zeppelin notebooks, write and compile reusable applications and modules, and fully test both batch and streaming. You will also learn to containerize your applications using Docker and run and deploy your Spark applications using a variety of tools such as Apache Airflow, Docker and Kubernetes. Reading this book will empower you to take advantage of Apache Spark to optimize your data pipelines and teach you to craft modular and testable Spark applications. You will create and deploy mission-critical streaming spark applications in a low-stress environment that paves the way for your own path to production. What You Will Learn * Simplify data transformation with Spark Pipelines and Spark SQL * Bridge data engineering with machine learning * Architect modular data pipeline applications * Build reusable application components and libraries * Containerize your Spark applications for consistency and reliability * Use Docker and Kubernetes to deploy your Spark applications * Speed up application experimentation using Apache Zeppelin and Docker * Understand serializable structured data and data contracts * Harness effective strategies for optimizing data in your data lakes * Build end-to-end Spark structured streaming applications using Redis and Apache Kafka * Embrace testing for your batch and streaming applications * Deploy and monitor your Spark applications Who This Book Is For Professional software engineers who want to take their current skills and apply them to new and exciting opportunities within the data ecosystem, practicing data engineers who are looking for a guiding light while traversing the many challenges of moving from batch to streaming modes, data architects who wish to provide clear and concise direction for how best to harness and use Apache Spark within their organization, and those interested in the ins and outs of becoming a modern data engineer in today's fast-paced and data-hungry world

Автор: Maosong Sun, Xiaojie Wang, Baobao Chang
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3319690043 ISBN-13(EAN): 9783319690049
Издательство: Springer
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Цена: 35330.00 T
Наличие на складе: Есть
Описание: This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017. Minority language information processing.

Автор: Foster Provost
Название: Data Science For Business: What You Need To Know About Data Mining And Dataanalytic Thinking
ISBN: 1449361323 ISBN-13(EAN): 9781449361327
Издательство: Wiley
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Цена: 42230.00 T
Наличие на складе: Есть
Описание: This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect.

Автор: Connie Clare, Maria Cruz
Название: Engaging Researchers with Data Management
ISBN: 1783747986 ISBN-13(EAN): 9781783747986
Издательство: Неизвестно
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Цена: 60020.00 T
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Описание: This handbook is a collaboration by research institutions, for research institutions. It aims not only to inspire and engage, but also to help drive cultural change towards better data management. It has been written for anyone interested in RDM, or simply, good research practice.

Автор: Kumar, Raghvendra, Sharma, Rohit, Pattnaik, Prasan
Название: Multimedia Technologies in the Internet of Things Environment
ISBN: 9811579644 ISBN-13(EAN): 9789811579646
Издательство: Springer
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Цена: 167700.00 T
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Описание: It bridges the gap between multimedia concepts and solutions by providing the current IOT frameworks, their applications in multimedia analysis, the strengths and limitations of the existing methods, and the future directions in multimedia IOT analytics.

Автор: Quinones-Grueiro, Marcos, Llanes Santiago, Orestes
Название: Monitoring Multimode Continuous Processes
ISBN: 303054737X ISBN-13(EAN): 9783030547370
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.

Автор: Sujatha R., Aarthy S. L., Vettriselvan R.
Название: Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics
ISBN: 0367466635 ISBN-13(EAN): 9780367466633
Издательство: Taylor&Francis
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Цена: 117390.00 T
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Описание: Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of big data along with deep learning systems.

Автор: Scholl Boris, Swanson Trent, Jausovec Peter
Название: Cloud Native: Containers, Functions, Data, and Kubernetes: How to Build a Blueprint for Next-Generation Applications
ISBN: 1492053821 ISBN-13(EAN): 9781492053828
Издательство: Wiley
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Цена: 55960.00 T
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Описание: Learning about distributed systems, becoming familiar with technologies such as containers and functions, and knowing how to put everything together can be daunting. With this practical guide, you`ll get up to speed on patterns for building cloud native applications and best practices for common tasks such as messaging, eventing, and DevOps.

Автор: Rajshree Srivastava, Pradeep Kumar Mallick, Siddha
Название: Computational Intelligence for Machine Learning and Healthcare Informatics
ISBN: 3110647826 ISBN-13(EAN): 9783110647822
Издательство: Walter de Gruyter
Цена: 136310.00 T
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Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

Автор: Kavita Taneja, Harmunish Taneja
Название: Data science and innovations for intelligent systems :
ISBN: 0367676273 ISBN-13(EAN): 9780367676278
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Описание: This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems.

Автор: Few Stephen
Название: The Data Loom: Weaving Understanding by Thinking Critically and Scientifically with Data
ISBN: 1938377117 ISBN-13(EAN): 9781938377112
Издательство: Gazelle Book Services
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Цена: 19950.00 T
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Описание: Contrary to popular myth, we do not yet live in the "Information Age." At best, we live the "Data Age," obsessed with the production, collection, storage, dissemination, and monetization of digital data. But data, in and of itself, isnt valuable. Data only becomes valuable when we make sense of it. We rely on "information professionals" to help us understand data, but most fail in their efforts. Why? Not because they lack intelligence or tools, but mostly because they lack the necessary skills. Most information professionals have been trained primarily in the use of data analysis tools (Tableau, PowerBI, Qlik, SAS, Excel, R, etc.), but even the best tools are only useful in the hands of skilled individuals. Anyone can pick up a hammer and pound a nail, but only skilled carpenters can use a hammer to build a reliable structure. Making sense of data is skilled work, and developing those skills requires study and practice. Weaving data into understanding involves several distinct but complementary thinking skills. Foremost among them are critical thinking and scientific thinking. Until information professionals develop these capabilities, we will remain in the dark ages of data. This book is for information professionals, especially those who have been thrust into this important work without having a chance to develop these foundational skills. If youre an information professional and have never been trained to think critically and scientifically with data, this book will get you started. Once on this path, youll be able to help usher in an Information Age worthy of the name.