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Computer Vision with OpenCV 3 and Qt5
Author Amin Ahmadi Tazehkandi
Blend the power of Qt with OpenCV to build cross-platform computer vision applicationsAbout This BookStart creating robust applications with the power of OpenCV and Qt combinedLearn from scratch how to develop cross-platform computer vision applicationsAccentuate y....
Release Date 2018/01 -
Author Saurabh Kapur
Unleash the power of computer vision with Python to carry out image processing and computer vision techniquesAbout This BookLearn how to build a full-fledged image processing application using free tools and librariesPerform basic to advanced image and video stream....
Release Date 2017/08 -
Connecting Networks Companion Guide
Author Cisco Networking Academy
Connecting Networks Companion Guide is the official supplemental textbook for the Connecting Networks course in the Cisco® Networking Academy® CCNA® Routing and Switching curriculum.This course discusses the WAN technologies and network services required by converg....
Release Date 2014/05 -
Connecting Networks v6 Companion Guide
Author Cisco Networking Academy
Connecting Networks v6 Companion Guide is the official supplemental textbook for the Connecting Networks version 6 course in the Cisco Networking Academy CCNA Routing and Switching curriculum.The Companion Guide is designed as a portable desk reference to use anyti....
Release Date 2017/09 -
Considering TensorFlow for the Enterprise
Author Allen Leis , Sean Murphy
Deep learning is enabling the next generation of successful companies. The question is no longer whether enterprises will use deep learning (they will), but how involved each organization becomes with the technology.Sean Murphy and Allen Leis introduce deep learnin....
Release Date 2017/12 -
Convergence of Cloud with AI for Big Data Analytics
Author Danda B. Rawat , Lalit K. Awasthi , Valentina Emilia Balas , Mohit Kumar , Jitendra
CONVERGENCE of CLOUD with AI for BIG DATA ANALYTICSThis book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services.The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts o....
Release Date 2023/03 -
Convergence of Mobile and Stationary Next-Generation Networks
Author Krzysztof Iniewski
The Only Resource to Cover Wireless, Wireline, and Optical Networks in One VolumeMobile and stationary next-generation networks that access the photonic core are destined to become as ubiquitous as traditional telephone networks. These networks must efficiently prov....
Release Date 2010/11 -
Convergence: Artificial Intelligence and Quantum Computing
Author Greg Viggiano , David Brin
Prepare for the coming convergence of AI and quantum computingA collection of essays from 20 renowned, international authors working in industry, academia, and government, Convergence: Artificial Intelligence and Quantum Computing explains the impending convergence of artificial intelligence and qua....
Release Date 2023/01 -
Creating the Symbiotic AI Workforce of the Future
Author Paul R. Daugherty , H. James Wilson
To effectively implement AI, organizations will need to use human-centered AI processes that motivate and retrain workers, which shifts the focus from automation to collaboration between humans and machines. To test that idea, an experiment was designed to see how ....
Release Date 2019/10 -
Author Parma Nand , Uzzal Sharma , Jyotir Moy Chatterjee , Vishal Jain , Noor Zaman Jhanjhi
CYBER-PHYSICAL SYSTEMSThe 13 chapters in this book cover the various aspects associated with Cyber-Physical Systems (CPS) such as algorithms, application areas, and the improvement of existing technology such as machine learning, big data and robotics.Cyber-Physical Systems (CPS) is the interconnect....
Release Date 2022/07 -
Cyberphysical Smart Cities Infrastructures
Author M. Hadi Amini , Miadreza Shafie-khah
Learn to deploy novel algorithms to improve and secure smart city infrastructureIn Cyberphysical Smart Cities Infrastructures: Optimal Operation and Intelligent Decision Making, accomplished researchers Drs. M. Hadi Amini and Miadreza Shafie-Khah deliver a crucial exploration of new directions in th....
Release Date 2022/01 -
Data Accelerator for AI and Analytics
This IBM® Redpaper publication focuses on data orchestration in enterprise data pipelines. It provides details about data orchestration and how to address typical challenges that customers face when dealing with large and ever-growing amounts of data for data analytics. While the amount of data incr.... -
Data Cleaning and Exploration with Machine Learning
Author Michael Walker
Explore supercharged machine learning techniques to take care of your data laundry loadsKey FeaturesLearn how to prepare data for machine learning processesUnderstand which algorithms are based on prediction objectives and the properties of the dataExplore how to interpret and evaluate the results f....
Release Date 2022/08 -
Data Mining and Machine Learning Applications
Author Rohit Raja , Kapil Kumar Nagwanshi , Sandeep Kumar , K. Ramya Laxmi
DATA MINING AND MACHINE LEARNING APPLICATIONSThe book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration.Data, the latest currency of today’s....
Release Date 2022/03 -
Data Mining and Machine Learning in Building Energy Analysis
Author Hai-Xiang Zhao , Frédéric Magoules
Focusing on up-to-date artificial intelligence models to solve building energy problems, Artificial Intelligence for Building Energy Analysis reviews recently developed models for solving these issues, including detailed and simplified engineering methods, s....
Release Date 2016/02 -
Data Science Algorithms in a Week - Second Edition
Author David Natingga
Build a strong foundation of machine learning algorithms in 7 daysKey FeaturesUse Python and its wide array of machine learning libraries to build predictive models Learn the basics of the 7 most widely used machine learning algorithms within a week Know when and ....
Release Date 2018/10 -
Data Science Projects with Python - Second Edition
Gain hands-on experience of Python programming with industry-standard machine learning techniques using pandas, scikit-learn, and XGBoostKey FeaturesThink critically about data and use it to form and test a hypothesisChoose an appropriate machine learning model and train it on your dataCommunicate d.... -
Data-Driven Alexa Skills: Voice Access to Rich Data Sources for Enterprise Applications
Author Simon A. Kingaby
Design and build innovative, custom, data-driven Alexa skills for home or business. Working through several projects, this book teaches you how to build Alexa skills and integrate them with online APIs. If you have basic Python skills, this book will show you how to build data-driven Alexa skills. Y....
Release Date 2021/11 -
Author Lurdes Inoue , Giovanni Parmigiani
Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences, and a correspondence between those sets, decision theory offers conceptually simple procedures for choice. ....
Release Date 2009/05 -
Deep Belief Nets in C++ and CUDA C: Volume 2: Autoencoding in the Complex Domain
Author Timothy Masters
Discover the essential building blocks of a common and powerful form of deep belief net: the autoencoder. You’ll take this topic beyond current usage by extending it to the complex domain for signal and image processing applications. Deep Belief Nets in C++ and CUD....
Release Date 2018/05 -
Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets
Author Timothy Masters
Discover the essential building blocks of a common and powerful form of deep belief network: convolutional nets. This book shows you how the structure of these elegant models is much closer to that of human brains than traditional neural networks; they have a ‘thou....
Release Date 2018/07 -
Deep Learning and the Game of Go
Author Kevin Ferguson , Max Pumperla
Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you’ll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You’ll enjoy watching your bot m....
Release Date 2019/01 -
Author Ahmed Menshawy
Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on mannerAbout This BookGet a first-hand experience of the deep learning concepts and techniques with this easy-to-follow guideTrain different types of neural networks using Tensorflow for ....
Release Date 2018/02 -
Author Douwe Osinga
Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the ....
Release Date 2018/06 -
Author Jianing Wei , Anurag Bhardwaj , Wei Di
Get to grips with the essentials of deep learning by leveraging the power of PythonAbout This BookYour one-stop solution to get started with the essentials of deep learning and neural network modelingTrain different kinds of neural networks to tackle various proble....
Release Date 2018/01 -
Deep Learning for Autonomous Vehicle Control
Author Sampo Kuutti , Saber Fallah , Richard Bowden
The next generation of autonomous vehicles will provide major improvements in traffic flow, fuel efficiency, and vehicle safety.Several challenges currently prevent the deployment of autonomous vehicles, one aspect of which is robust and adaptable vehicle control. Designi....
Release Date 2019/08 -
Author Dr. Pablo Rivas , Laura Montoya
Implementing supervised, unsupervised, and generative deep learning (DL) models using Keras and Dopamine over TensorFlow.Key FeaturesUnderstand the fundamental machine learning concepts useful in deep learningLearn the underlying mathematical concepts as you implement dee....
Release Date 2020/09 -
Deep Learning for Chest Radiographs
Author Yashvi Chandola , Jitendra Virmani , H.S Bhadauria , Papendra Kumar
Deep Learning for Chest Radiographs enumerates different strategies implemented by the authors for designing an efficient convolution neural network-based computer-aided classification (CAC) system for binary classification of chest radiographs into "Normal" and "Pneumonia." Pneumonia is an infectio....
Release Date 2021/07 -
Deep Learning for Coders with fastai and PyTorch
Author Jeremy Howard , Sylvain Gugger
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and ....
Release Date 2020/07