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Architecting Data Lakes, 2nd Edition
Author Ben Sharma
Many organizations today are succeeding with data lakes, not just as storage repositories but as places to organize, prepare, analyze, and secure a wide variety of data. Management and governance is critical for making your data lake work, yet hard to do without a ....
Release Date 2018/04 -
Author Ben Sharma , Ashish Thusoo
Many organizations use Hadoop-driven data lakes as an adjunct staging area for their enterprise data warehouses (EDW). But for those companies ready to take the plunge, a data lake is far more useful as a one-stop-shop for extracting insights from their vast collec....
Release Date 2016/04 -
Architecting and Deploying IBM DB2 with BLU Acceleration in Your Analytical Environment
Author Alexander Zietlow , Martin Schlegel , Kushal Munir , Cong Lin , Polly Lau , Aidan Cra
IBM® DB2® with BLU Acceleration is a revolutionary technology that is delivered in DB2 for Linux, UNIX, and Windows Release 10.5. BLU Acceleration delivers breakthrough performance improvements for analytic queries by using dynamic in-memory columnar technologies. D....
Release Date 2014/06 -
Architecting and Deploying DB2 with BLU Acceleration
Author Alexander Zietlow , Ayesha Zaka , Martin Schlegel , Jean Cristie Pacanaro , Polly La
IBM® DB2® with BLU Acceleration is a revolutionary technology that is delivered in DB2 for Linux, UNIX, and Windows Release 10.5. BLU Acceleration delivers breakthrough performance improvements for analytic queries by using dynamic in-memory columnar technologies. D....
Release Date 2014/10 -
Author Rene Rubalcava
SummaryArcGIS Web Development is an example-rich tutorial designed to teach developers to use the ArcGIS JavaScript API to build custom GIS web applications.About the TechnologyNow you can unshackle your GIS application from a workstation! Using the ArcGIS JavaScrip....
Release Date 2014/10 -
ArcGIS for JavaScript Developers by Example
Author Yogesh Dhanapal , Jayakrishnan Vijayaraghavan
A practical guide to get you creating powerful mapping applications using the rich set of features provided by the ArcGIS JavaScript APIAbout This BookUnshackle your GIS application from a workstation! Get running with three major web mapping projects covering all ....
Release Date 2016/04 -
Author Daniela Cristiana Docan
Over 60 hands-on recipes to help you become a more productive ArcGIS for Desktop user In DetailArcGIS for Desktop is one of the strongest components of the Esri ArcGIS platform. Users find it exciting because it has a lot of powerful tools and can work with a wide r....
Release Date 2015/01 -
Author Diana D. Whitney , David Cooperrider
A truly revolutionary method of change management, Appreciative Inquiry (AI) emphasizes inquiry into strengths, rather than focusing exclusively on fixing weaknesses. Written by the originators and leaders of the AI movement, this accessible guide offers a practical....
Release Date 2005/10 -
Author Sam Morley
Discover easy-to-follow solutions and techniques to help you to implement applied mathematical concepts such as probability, calculus, and equations using Python's numeric and scientific librariesKey FeaturesCompute complex mathematical problems using programming logic w....
Release Date 2020/07 -
Applying Deep Learning in Business
Author Federico Castanedo
According to a recent poll conducted by O’Reilly Media, most data scientists already know what AI technologies, such as deep learning, can do. Now they want to learn how to implement neural networks and deep learning to address their unique business objective. They....
Release Date 2019/10 -
Applied XML Programming for Microsoft® .NET
Author Dino Esposito
Get the expert advice you need to succeed in building .NET-connected applications with XML!XML is everywhere in the Microsoft .NET Framework, from Remoting to Web services, and from data access to configuration. Learn about the extensive XML core classes in .NET and....
Release Date 2002/10 -
Applied Unsupervised Learning with R
Author Bradford Tuckfield , Alok Malik
Design clever algorithms that discover hidden patterns and draw responses from unstructured, unlabeled data.Key FeaturesBuild state-of-the-art algorithms that can solve your business' problems Learn how to find hidden patterns in your data Revise key concepts with....
Release Date 2019/03 -
Applied Unsupervised Learning with Python
Author Christopher Kruger , Aaron Jones , Benjamin Johnston
Design clever algorithms that can uncover interesting structures and hidden relationships in unstructured, unlabeled data Key FeaturesLearn how to select the most suitable Python library to solve your problem Compare k-Nearest Neighbor (k-NN) and non-parametric met....
Release Date 2019/05 -
Applied Text Analysis with Python
Author Tony Ojeda , Rebecca Bilbro , Benjamin Bengfort
From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not ....
Release Date 2018/06 -
Applied Survival Analysis: Regression Modeling of Time to Event Data, 2nd Edition
Author Stanley Lemeshow , Susanne May , David W. Hosmer
THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA—NOW IN A VALUABLE NEW EDITIONSince publication of the first edition nearly a decade ago, analyses using time-to-event methods have increase considerably in all areas of scientific inq....
Release Date 2008/03 -
Applied Statistics and Probability for Engineers, 6th Edition
Author George C. Runger , Douglas C. Montgomery
This best-selling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It is packed with unique problem sets that reflect realistic situations engineers will en....
Release Date 2013/11 -
Author Jürgen Pilz , Rob Verdooren , Dieter Rasch
Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services,....
Release Date 2019/10 -
Applied SOA Patterns on the Oracle Platform
Author Sergey Popov
Fuse together your pragmatic Oracle experience with abstract SOA patterns with this practical guideIn DetailFor architects and developers, to solve business problems in the most efficient way possible, the experience of building complex collaboration and messaging ....
Release Date 2014/08 -
Applied Regression Modeling, 3rd Edition
Master the fundamentals of regression without learning calculus with this one-stop resourceThe newly and thoroughly revised 3rd Edition of Applied Regression Modeling delivers a concise but comprehensive treatment of the application of statistical regression analysis for those with little or no back.... -
Applied Regression and Modeling
Author Amar Sahay
The book is divided into three parts – (1) prerequisite to regression analysis followed by a discussion on simple regression, (2) multiple regression analysis with applications, and (3) regression and modeling including the second order models, nonlinear regr....
Release Date 2016/06 -
Applied Neural Networks with TensorFlow 2: API Oriented Deep Learning with Python
Author Orhan Gazi Yalçın
Implement deep learning applications using TensorFlow while learning the “why” through in-depth conceptual explanations. You’ll start by learning what deep learning offers over other machine learning models. Then familiarize yourself with several technologies ....
Release Date 2020/11 -
Author Taweh Beysolow II
Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infra....
Release Date 2018/09 -
Applied Natural Language Processing in the Enterprise
Author Ankur A. Patel , Ajay Uppili Arasanipalai
NLP is one of the hottest topics in AI today. Having lagged for years behind other deep learning fields such as computer vision, NLP only recently gained mainstream popularity. Google, Facebook, and OpenAI have open-sourced large pretrained language models, but many organ....
Release Date 2021/03 -
APPLIED MULTIVARIATE STATISTICS: WITH SAS® SOFTWARE
Author Dayanand N. Naik , Ravindra Khattree
Real-world problems and data sets are the backbone of Ravindra Khattree and Dayanand Naik's Applied Multivariate Statistics with SAS Software, Second Edition, which provides a unique approach to the topic, integrating statistical methods, data analysis, and applica....
Release Date 1999/02 -
Applied Modeling Techniques and Data Analysis 2
BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques JanssenData analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational tec.... -
Applied Modeling Techniques and Data Analysis 1
BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques JanssenData analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational tec.... -
Applied Machine Learning for Healthcare and Life Sciences Using AWS
Author Ujjwal Ratan
Build real-world artificial intelligence apps on AWS to overcome challenges faced by healthcare providers and payers, as well as pharmaceutical, life sciences research, and commercial organizationsKey FeaturesLearn about healthcare industry challenges and how machine learning can solve themExplore A....
Release Date 2022/11 -
Author Kevin Ashley
Explore the world of using machine learning methods with deep computer vision, sensors and data in sports, health and fitness and other industries. Accompanied by practical step-by-step Python code samples and Jupyter notebooks, this comprehensive guide acts as a referenc....
Release Date 2020/08 -
Applied Machine Learning Explainability Techniques
Author Aditya Bhattacharya
Leverage top XAI frameworks to explain your machine learning models with ease and discover best practices and guidelines to build scalable explainable ML systemsKey FeaturesExplore various explainability methods for designing robust and scalable explainable ML systemsUse XAI frameworks such as LIME ....
Release Date 2022/07 -
Applied Machine Learning and High-Performance Computing on AWS
Author Mani Khanuja , Farooq Sabir , Shreyas Subramanian , Trenton Potgieter
Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles, and numerical optimization using Amazon SageMakerKey FeaturesUnderstand the need for high-performance computing (HPC)Build, train, and deploy large ....
Release Date 2022/12