Relational Database Design and Implementation: Clearly Explained, Fourth Edition, provides the conceptual and practical information necessary to develop a database design and management scheme that ……続きを見る
Leverage Splunk's operational intelligence capabilities to unlock new hidden business insights and drive success About This Book • Tackle any problems related to searching and analyzing your data wi……続きを見る
Learn to use scikit-learn operations and functions for Machine Learning and deep learning applications.
About This Book
Handle a variety of machine learning tasks effortlessly by leveraging the pow……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
Artificial intelligence is here. Is your infrastructure ready?
Adopting artificial intelligence (AI) technologies is the top initiative for 61% of IT leaders.1 Many of them are focused on investing ……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
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
“Lohr uses his Pulitzer Prize-winning reporting skills to dig into and explain the power, pervasiveness, and potential downside of big data.” ーLibrary Journal
In Data-ism, New York Times reporter S……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
著者:Mike Barlow
出版社: O'Reilly Media
発売日: 2013年06月24日
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
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
著者:Doug Tidwell
出版社: O'Reilly Media
発売日: 2009年06月30日
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
著者:Sal Mangano
出版社: O'Reilly Media
発売日: 2009年02月09日
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
著者:Mike Loukides
出版社: O'Reilly Media
発売日: 2011年09月14日
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
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 collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” a……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
Get well-versed with FastAPI features and best practices for testing, monitoring, and deployment to run high-quality and robust data science applications Key Features • Cover the concepts of the Fas……続きを見る
Despite the excitement around "data science," "big data," and "analytics," the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In……続きを見る
How could the potential of IT be realised to improve business performance in architecture, construction and engineering organisations? How could organisations unleash the potential of IT to achieve ……続きを見る
Highlights the pitfalls of data analysis and emphasizes the importance of using the appropriate metrics before making key decisions.Big data is often touted as the key to understanding almost every ……続きを見る
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in sizeーsmall enough to run on a microcontroller. With this pract……続きを見る
Influence action through data!
This is not a book. It is a one-of-a-kind immersive learning experience through which you can becomeーor teach others to beーa powerful data storyteller.
Let’s practic……続きを見る
Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you’re a de……続きを見る
著者:Tobias Macey
出版社: O'Reilly Media
発売日: 2021年06月11日
Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. C……続きを見る
The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in……続きを見る
Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja.
From the stock marke……続きを見る
As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value.……続きを見る
Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you co……続きを見る
Build a solid foundation in algorithmic trading by developing, testing and executing powerful trading strategies with real market data using Python
Key Features
Build a strong foundation in algorit……続きを見る