Data Processing 3

Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's dat……続きを見る

Step by step guide to monitor, manage, and secure your database engineKey FeaturesYour companion to master all the administration-related tasks in MySQL 8Ensure high performance and high availabilit……続きを見る

Get to grips with the fundamentals of data mining and predictive analytics with IBM SPSS Modeler Key Features\[\*\]Get up–and-running with IBM SPSS Modeler without going into too much depth.\[\*\]Id……続きを見る

Machines can LEARN ?!?! Machine learning occurs primarily through the use of " algorithms" and other elaborate procedures. Whether you're a novice, intermediate or expert this book will teach you al……続きを見る

Learn to use scikit-learn operations and functions for Machine Learning and deep learning applications.Key FeaturesHandle a variety of machine learning tasks effortlessly by leveraging the power of ……続きを見る

Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL APIKey Features\[\*\] Learn about the design and implementation of……続きを見る

Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to ……続きを見る

Collect and scrape different complexities of data from the modern Web using the latest tools, best practices, and techniquesKey FeaturesLearn different scraping techniques using a range of Python li……続きを見る

Implement your Business Intelligence solutions without any coding - by leveraging the power of the Alteryx platformKey FeaturesExperience the power of codeless analytics using Alteryx, a leading Bus……続きを見る

Apache Spark is amazing when everything clicks. But if you haven’t seen the performance improvements you expected, or still don’t feel confident enough to use Spark in production, this practical boo……続きを見る

Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key FeaturesA step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZA modern, practical and co……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

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

Build attractive, insightful, and powerful visualizations to gain quality insights from your dataKey FeaturesMaster Matplotlib for data visualizationCustomize basic plots to make and deploy figures ……続きを見る

SQLite is the native database for iOS and Android applications. Xamarin is the development framework of choice for creating cross-platform mobile apps. Together, this powerful duo allows you to writ……続きを見る

The Internet, with its profusion of information, has made us hungry for ever more, ever better data. Out of necessity, many of us have become pretty adept with search engine queries, but there are t……続きを見る

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to unde……続きを見る

"Data is here, it's growing, and it's powerful." Author Cathy O'Neil argues that the right approach to data is skeptical, not cynical––it understands that, while powerful, data science tools often f……続きを見る

Les principaux problèmes rencontrés par les scientifiques qui travaillent avec des ensembles de données massives (mégadonnées, Big Data), en soulignant les principaux problèmes éthiques, tout en ten……続きを見る

KNIME Essentials is a practical guide aimed at getting the results you want, as quickly as possible."Knime Essentials" is written for data analysts looking to quickly get up to speed using the marke……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

After years of anticipation and delay, the W3C finally released the XSLT 2.0 standard in January 2007. The revised edition of this classic book offers practical, real-world examples that demonstrate……続きを見る

Forget those funky robot toys that were all the rage in the '80s, XSLT (Extensible Stylesheet Transformations) is the ultimate transformer. This powerful language is expert at transforming XML docum……続きを見る

However excellent they are, most computer books are inherently passive--readers simply take in text without having any opportunity to react to it. The Oracle PL/SQL Developer's Workbook is a differe……続きを見る

This is the first comprehensive investigation of the industrial sourcing and procurement practices throughout sixty-eight construction industry supply channels across seven major commodity sectors a……続きを見る

This report examines the important shifts in data products. Drawing from diverse examples, including iTunes, Google's self-driving car, and patient monitoring, author Mike Loukides explores the "dis……続きを見る

In an age where everything is measurable, understanding big data is an essential. From creating new data-driven products through to increasing operational efficiency, big data has the potential to m……続きを見る

Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possi……続きを見る

Knowledge for Free... Get that job, you aspire for! Want to switch to that high paying job? Or are you already been preparing hard to give interview the next weekend? Do you know how many people get……続きを見る

As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, p……続きを見る