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Big data – unstructured and/or structured data being used to influence underwriting, rating, pricing, forms, marketing and claims handling and incentivize risk reduction – is a relatively recent development in the insurance industry, the data sets previously being too impossibly great to analyse through traditional methods. However, with the global capacity to collect and store data growing alongside advancements in AI and machine learning technology, insurers need to seri...
In Algorithms and Data Structures for Massive Datasets, you’ll discover methods for reducing and sketching data so it fits in small memory without losing accuracy, and unlock the algorithms and data structures that form the backbone of a big data system.
Data structures and algorithms that are great for traditional software may quickly slow or fail altogether when applied to huge datasets. Algorithms and Data Structures for Massive Datasets introduces a toolbox of new t...
Description：
Object Oriented Data Analysis is a framework that facilitates inter-disciplinary research through new terminology for discussing the often many possible approaches to the analysis of complex data. Such data are naturally arising in a wide variety of areas. This book aims to provide ways of thinking that enable the making of sensible choices.
The main points are illustrated with many real data examples, based on the authors’ personal experiences, which h...
Description:
Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and efficient distributed data processing engine inside of Apache Spark; its user-friendly, comprehensive, and flexible programming model for processing data in batch and streaming; and the scalable machine learning algorithms and practical utilities to build machine learning applications.
Beginning Apache Spark 3 begins by expl...
Description:
Data is a fantastic raw resource for powering change in an organization, but all too often the people working in those organizations don’t have the necessary skills to communicate with data effectively. With this practical book, subject matter experts will learn ways to develop strong, persuasive points when presenting data to different groups in their organizations.
Author Carl Allchin shows anyone how to find data sources and develop data analytics, ...
Description：
A comprehensive history of data visualization―its origins, rise, and effects on the ways we think about and solve problems.
With complex information everywhere, graphics have become indispensable to our daily lives. Navigation apps show real-time, interactive traffic data. A color-coded map of exit polls details election balloting down to the county level. Charts communicate stock market trends, government spending, and the dangers of epidemics. A His...
Description:
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
Updated new edition of Ralph Kimball’s groundbreaking book on dimensional modeling for data warehousing and business intelligence!
The first edition of Ralph Kimball’s The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated ...
内容简介：
大数据和机器智能的出现，对我们的技术发展、商业和社会都会产生重大的影响。作者吴军在《智能时代：大数据与智能革命重新定义未来》中指出，首先，我们在过去认为非常难以解决的问题，会因为大数据和机器智能的使用而迎刃而解，比如解决癌症个性化治疗的难题。同时，大数据和机器智能还会彻底改变未来的商业模式，很多传统的行业都将采用智能技术实现升级换代，同时改变原有的商业模式。大数据和机器智能对于未来社会的影响是全方位的。
作者简介：
吴军，博士，与2002...
Book Description：
Data pipelines are the foundation for success in data analytics and machine learning. Moving data from many diverse sources and processing it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack.
You'll learn common considerations and key decision points when implementing pipelines, such as data pipeline...
Book Description：
Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses to data lakes and modern data warehouses. You will
This book includes comprehensive coverage of how:
To architect data lake analytics solutions by choosing suitable technologies available on Microsoft Azure
The advent of microservices applications covering ecommerce or modern solutions built on Io...
Book Description:
This easy-to-follow guide provides R and Python recipes to help you learn and apply the top languages in the field of data analytics to your work in Microsoft Power BI. Data analytics expert and author Ryan Wade shows you how to use R and Python to perform tasks that are extremely hard, if not impossible, to do using native Power BI tools. For example, you will learn to score Power BI data using custom data science models and powerful models from Microso...
Book Description:
Create good data from the start, rather than fixing it after it is collected. By following the guidelines in this book, you will be able to conduct more effective analyses and produce timely presentations of research data.
Data analysts are often presented with datasets for exploration and study that are poorly designed, leading to difficulties in interpretation and to delays in producing meaningful results. Much data analytics training focuses on how t...
随便看看
- A. 怪诞行为学2
- B. 创新自信力
- C. 此生未完成
- D. Machine See, Machine Do
- E. 握紧你的右手
- F. Data Science Fundamentals for Python and MongoDB
- G. 项目百态
- H. 跳出盒子：领导与自欺的管理寓言
