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Author Zhenglu Yang , Yu Zong , Guandong Xu
Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking.....
Release Date 2013/06 -
Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle
Discover the capabilities of PySpark and its application in the realm of data science. This comprehensive guide with hand-picked examples of daily use cases will walk you through the end-to-end predictive model-building cycle with the latest techniques and tricks of the trade. Applied Data Scie.... -
Applied Data Visualization with R and ggplot2
Author Dr. Tania Moulik
Develop informative and aesthetic visualizations that enable effective data analysis in less timeKey FeaturesDiscover structure of ggplot2, grammar of graphics, and geometric objects Study how to design and implement visualization from scratch Explore the advantage....
Release Date 2018/09 -
Applied Deep Learning and Computer Vision for Self-Driving Cars
Author Sumit Ranjan , Dr. S. Senthamilarasu
Explore self-driving car technology using deep learning and artificial intelligence techniques and libraries such as TensorFlow, Keras, and OpenCVKey FeaturesBuild and train powerful neural network models to build an autonomous carImplement computer vision, deep learning,....
Release Date 2020/08 -
Author Umberto Michelucci
Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects.This book is designed so tha....
Release Date 2022/03 -
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
Author Umberto Michelucci
Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activatio....
Release Date 2018/09 -
Applied Econometrics Using the SAS® System
Author Vivek B. Ajmani
The first cutting-edge guide to using the SAS® system for the analysis of econometric dataApplied Econometrics Using the SAS® System is the first book of its kind to treat the analysis of basic econometric data using SAS®, one of the most commonly used software tool....
Release Date 2009/06 -
Applied Health Analytics and Informatics Using SAS
Author Joseph M. Woodside
Leverage health data into insight!Applied Health Analytics and Informatics Using SAS describes health anamatics, a result of the intersection of data analytics and health informatics. Healthcare systems generate nearly a third of the world’s data, and analytics ca....
Release Date 2018/11 -
Applied Logistic Regression, 3rd Edition
Author Rodney X. Sturdivant , Stanley Lemeshow , David W. Hosmer , Jr.
A new edition of the definitive guide to logistic regression modeling for health science and other applicationsThis thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this mo....
Release Date 2013/04 -
Applied Machine Learning and AI for Engineers
Author Jeff Prosise
While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal loggi....
Release Date 2022/11 -
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 -
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 -
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 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 -
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 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 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 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 -
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 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 -
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 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 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 -
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 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 -
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 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 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 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 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