Discover how to describe your data in detail, identify data issues, and find out how to solve them using commonly used techniques and tips and tricks
Key Features
Get well-versed with various data ……続きを見る
Ready to take your IT skills to the healthcare industry? This concise book provides a candid assessment of the US healthcare system as it ramps up its use of electronic health records (EHRs) and oth……続きを見る
著者:Joseph Adler
出版社: O'Reilly Media
発売日: 2012年09月26日
If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and softw……続きを見る
Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven ann……続きを見る
著者:David C. Hay
出版社: Elsevier Science
発売日: 2010年07月20日
In recent years, companies and government agencies have come to realize that the data they use represent a significant corporate resource, whose cost calls for management every bit as rigorous as th……続きを見る
Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL API
About This Book
Learn about the design and implementation of ……続きを見る
If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of ……続きを見る
Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new fe……続きを見る
Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI……続きを見る
In this multidisciplinary book, experts from around the globe examine how data-driven political campaigning works, what challenges it poses for personal privacy and democracy, and how emerging pract……続きを見る
Step-by-step guide to build high performing predictive applications
Key Features
Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects
Explore advanced predi……続きを見る
Learn to develop blockchain-based distributed ledgers and deploy a Hyperledger Fabric network with concrete exercises and examples
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Updated with the latest features and additions that c……続きを見る
Build attractive, insightful, and powerful visualizations to gain quality insights from your data
Key Features
Master Matplotlib for data visualization
Customize basic plots to make and deploy figu……続きを見る
著者:Osvaldo Martin
出版社: Packt Publishing
発売日: 2019年02月11日
Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ
Key Features
A step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZ
A modern, practical and……続きを見る
Step by step guide to monitor, manage, and secure your database engine About This Book • Your companion to master all the administration-related tasks in MySQL 8 • Ensure high performance and high a……続きを見る
Learn state-of-the-art skills to build compelling, useful, and fun Web GIS apps easily, with no programming experience required.
Building on the foundation of the previous three editions, Getting to……続きを見る
A comprehensive guide to developing neural network-based solutions using TensorFlow 2.0
Key Features
Understand the basics of machine learning and discover the power of neural networks and deep lea……続きを見る
A fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem
Key Features
Set up, configure and get started with Hadoop to get useful insights from large data sets
Work with ……続きを見る
著者:Alex Gorelik
出版社: O'Reilly Media
発売日: 2019年02月21日
The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on dis……続きを見る
Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data
Enterprise data and AI projects are often scattershot, underbak……続きを見る
Data is the foundation of this digital age that we live in. With this book, you are going to learn how to organize and analyze data and how to interpret vast sources of information. This book covers……続きを見る
The creation, accumulation, and use of copious amounts of data are driving rapid change across a wide variety of industries and academic disciplines. This ‘Big Data’ phenomenon is the result of rece……続きを見る
Are you looking for new ways to grow your business, with resources you already have? Do you want to know how the big players like Netflix, Amazon, or Shopify use data analytics to MULTIPLY their gro……続きを見る
Get to grips with the fundamentals of data mining and predictive analytics with IBM SPSS Modeler
About This Book
Get up–and-running with IBM SPSS Modeler without going into too much depth.
Identify……続きを見る
'Fascinating' - Financial Times
Algorithms are running our society, and as the Cambridge Analytica story has revealed, we don't really know what they are up to.
Our increasing reliance on technology……続きを見る
著者:Ian Pointer
出版社: O'Reilly Media
発売日: 2019年09月20日
Take the next steps toward mastering deep learning, the machine learning method that’s transforming the world around us by the second. In this practical book, you’ll get up to speed on key ideas usi……続きを見る
Perform advanced data manipulation tasks using pandas and become an expert data analyst.
Key Features
Manipulate and analyze your data expertly using the power of pandas
Work with missing data and ……続きを見る
Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its……続きを見る
Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn libraries
Key Features
Discover solutions for feature generation, fe……続きを見る
Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As cont……続きを見る