DotNetNuke For Dummies Book

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DotNetNuke For Dummies

By Lorraine Young,Philip Beadle,Scott Willhite,Chris Paterra
  • Writer : Lorraine Young,Philip Beadle,Scott Willhite,Chris Paterra
  • Isbn : 9781118052921
  • Publisher : John Wiley & Sons
  • Number of Pages : 408
  • Category : Computers
  • Review Counts : 153
  • Book Compatibility : Pdf, ePub, Mobi, Kindle
  • Pdf : dotnetnuke-for-dummies.pdf

Summaries of Book :

Do you want to develop Web sites without the help of a programmer? Lucky for you there’s DotNetNuke, a content management system that allows you to build and maintain dynamic Web sites just by using a Web browser. DotNetNuke For Dummies helps you get down to business and shows you how to create a user-friendly Web site. You’ll find out how you can build and manage a flexible, versatile site with all the advantages an open-source application offers, use convenient modules, build a community, and save some money at the same time. This plain-English guide lets you discover how to: Install, run, and troubleshoot DotNetNuke Change and customize portal settings Add and manage pages on your site Make your site look professional Deliver contents with Text/HTML Add news feeds, online surveys, and banners Interact with visitors through blogging, feedback comments, and forums Create an e-business Customize the look of your site with exciting components This book features cool new modules that will meet every Web site’s need, both commercial and personal. With DotNetNuke For Dummies, you’ll get up to speed with this wonderful online tool and create your own corner of the World Wide Web!

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Book Excerpt:

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Book Excerpt:

Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras. The overall book comprises three sections with two chapters in each section. The first section prepares you with all the necessary basics to get started in deep learning. Chapter 1 introduces you to the world of deep learning and its difference from machine learning, the choices of frameworks for deep learning, and the Keras ecosystem. You will cover a real-life business problem that can be solved by supervised learning algorithms with deep neural networks. You’ll tackle one use case for regression and another for classification leveraging popular Kaggle datasets. Later, you will see an interesting and challenging part of deep learning: hyperparameter tuning; helping you further improve your models when building robust deep learning applications. Finally, you’ll further hone your skills in deep learning and cover areas of active development and research in deep learning. At the end of Learn Keras for Deep Neural Networks, you will have a thorough understanding of deep learning principles and have practical hands-on experience in developing enterprise-grade deep learning solutions in Keras. What You’ll Learn Master fast-paced practical deep learning concepts with math- and programming-friendly abstractions. Design, develop, train, validate, and deploy deep neural networks using the Keras framework Use best practices for debugging and validating deep learning models Deploy and integrate deep learning as a service into a larger software service or product Extend deep learning principles into other popular frameworks Who This Book Is For Software engineers and data engineers with basic programming skills in any language and who are keen on exploring deep learning for a career move or an enterprise project.

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Book Excerpt:

Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and autonomous vehicles. An Introduction to Deep Learning Business Applications for Developers covers some common DL algorithms such as content-based recommendation algorithms and natural language processing. You’ll explore examples, such as video prediction with fully convolutional neural networks (FCNN) and residual neural networks (ResNets). You will also see applications of DL for controlling robotics, exploring the DeepQ learning algorithm with Monte Carlo Tree search (used to beat humans in the game of Go), and modeling for financial risk assessment. There will also be mention of the powerful set of algorithms called Generative Adversarial Neural networks (GANs) that can be applied for image colorization, image completion, and style transfer. After reading this book you will have an overview of the exciting field of deep neural networks and an understanding of most of the major applications of deep learning. The book contains some coding examples, tricks, and insights on how to train deep learning models using the Keras framework. What You Will Learn Find out about deep learning and why it is so powerful Work with the major algorithms available to train deep learning models See the major breakthroughs in terms of applications of deep learning Run simple examples with a selection of deep learning libraries Discover the areas of impact of deep learning in business Who This Book Is For Data scientists, entrepreneurs, and business developers.

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Book Excerpt:

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Book Excerpt:

rd This book presents a collection of selected contributions presented at the 3 International Workshop on Scientific Computing in Electrical Engineering, SCEE-2000, which took place in Warnemiinde, Germany, from August 20 to 23, 2000. Nearly hundred scientists and engineers from thirteen countries gathered in Warnemiinde to participate in the conference. Rostock Univer sity, the oldest university in Northern Europe founded in 1419, hosted the conference. This workshop followed two earlier workshops held 1997 at the Darmstadt University of Technology and 1998 at Weierstrass Institute for Applied Anal ysis and Stochastics in Berlin under the auspices ofthe German Mathematical Society. These workshops aimed at bringing together two scientific communi ties: applied mathematicians and electrical engineers who do research in the field of scientific computing in electrical engineering. This, of course, is a wide field, which is why it was decided to concentrate on selected major topics. The workshop in Darmstadt, which was organized by Michael Giinther from the Mathematics Department and Ursula van Rienen from the Department of Electrical Engineering and Information Technology,brought together more than hundred scientists interested in numerical methods for the simulation of circuits and electromagnetic fields. This was a great success. Voices coming from the participants suggested that it was time to bring these communities together in order to get to know each other, to discuss mutual interests and to start cooperative work. A collection of selected contributions appeared in 'Surveys on Mathematics for Industry', Vol.8, No. 3-4 and Vol.9, No.2, 1999.

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Book Excerpt:

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Machine Learning with R

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Book Excerpt:

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Computational Aspects of the Study of Biological Macromolecules by Nuclear Magnetic Resonance Spectroscopy

By Jeffrey C. Hoch
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  • Publisher : Springer Science & Business Media
  • Isbn Code : 147579794X
  • Number of Pages : 464
  • Category : Medical
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  • Pdf File: computational-aspects-of-the-study-of-biological-macromolecules.pdf

Book Excerpt:

This volume is the scientific chronicle of the NATO Advanced Research Workshop on Computational Aspects of the Study of Biological Macro molecules by Nuclear Magnetic Resonance Spectroscopy, which was held June 3-8, 1990 at Il Ciocco, near Barga, Italy. The use of computers in the study of biological macromolecules by NMR spectroscopy is ubiquitous. The applications are diverse, including data col lection, reduction, and analysis. Furthermore, their use is rapidly evolv ing, driven by the development of new experimental methods in NMR and molecular biology and by phenomenal increases in computational perfor mance available at reasonable cost. Computers no longer merely facilitate, but are now absolutely essential in the study of biological macromolecules by NMR, due to the size and complexity of the data sets that are obtained from modern experiments. The Workshop, and this proceedings volume, provide a snapshot of the uses of computers in the NMR of biomolecules. While by no means exhaustive, the picture that emerges illustrates both the· importance and the diversity of their application.

The Basic American Bidding System

By Chris Hasney, with Jerry Pottier
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Trafford Publishing
  • Isbn Code : 1466980990
  • Number of Pages : 214
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  • Pdf File: the-basic-american-bidding-system.pdf

Book Excerpt:

Overview of the American Bridge Series The American Bridge Series is designed as a sequential set of bidding courses, suitable for self-study or classroom-style study under the guidance of a professional bridge teacher. Volumes I through III include declarer play and defense skills as they relate to the bidding skills taught in each text. Volume IV is reserved for true experts; thus, declarer play and defense lessons would be an insult and are not included. The entire series takes about five years of study and practice to complete. Volume I, The Basic American Bidding System, was written for beginners and for social players who need to brush-up on basic bidding skills prior to tackling modern bidding methods. It features 5-card major suit opening bids, strong twos, and some basics of Forcing and Non-Forcing Stayman, Blackwood, Gerber, and few other things designed to form the framework for further study. Volume II, The Intermediate American Bidding System, makes the transition to modern methods including weak two openings. It teaches all of the pieces of "Standard" American in a way that integrates all of the varied forms of same. Don't be thrown by the term "intermediate." Many duplicate players think that they have reached that level when they can no longer play in novice games. Not so. "Intermediate," as defined by the authors, can vary from folks with zero ACBL masterpoints to 2500 masterpoints. It's not the points that count, it's the skill level. Volume III, The Advanced American Bidding System presumes a complete understanding and skill with all of the material in Volume II. However, some of the Volume II material is repeated for intended redundancy, since the authors suspect that many folks who shouldn't be attempting to study Volume III will do so anyway. After all, "I'm a Life Master, I must be Advanced." The authors suggest that anyone not comfortable playing in Flight A at an ACBL regional or national tournament, or the World Bridge Federation (WBF) or other governing body equivalent thereof avoid purchase and study of Volume III until they have mastered all that is taught in Volume II. Volume IV, The Expert American Bidding System, (NOT YET RELEASED) presumes two years' experience with the bidding techniques taught in Volume III, and expert declarer play and defense skills. This is not a "Mom and Pop" book. It is for those who wish to successfully compete in such ACBL events as Flight A Grand National Teams, the Blue Ribbon Pairs, the Life Master Pairs, the Spingold, Vanderbilt, and Reisinger teams, etc., and International events like the Bermuda Bowl and Venice Cup, The London Times Pairs, the McCallan, etc. It features 4-card majors, the TEAS responses to no trump openings, weak no trumps, and a variety of other bidding methods which will get bidders to the optimum place but will require expert declarer play or defensive skills to maximize results. All four books emphasize sound, disciplined bidding and an underlying philosophy of "You bid your cards, I'll bid mine, we'll get to the right spot." By the time students complete study and practice of Volume III, they should be able to know what cards partner holds almost to the spot at the conclusion of an auction. In fact, Jerry and one of his partners were once accused of cheating when they got cocky and did this after an auction. The comment was: "How can you know what cards your partner holds?" Jerry's answer: "Isn't that the whole point of the bidding?"

Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications

By Alphose Zingoni
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : CRC Press
  • Isbn Code : 0429761171
  • Number of Pages : 882
  • Category : Technology & Engineering
  • Reviews : 277
  • Pdf File: advances-in-engineering-materials-structures-and-systems.pdf

Book Excerpt:

Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications comprises 411 papers that were presented at SEMC 2019, the Seventh International Conference on Structural Engineering, Mechanics and Computation, held in Cape Town, South Africa, from 2 to 4 September 2019. The subject matter reflects the broad scope of SEMC conferences, and covers a wide variety of engineering materials (both traditional and innovative) and many types of structures. The many topics featured in these Proceedings can be classified into six broad categories that deal with: (i) the mechanics of materials and fluids (elasticity, plasticity, flow through porous media, fluid dynamics, fracture, fatigue, damage, delamination, corrosion, bond, creep, shrinkage, etc); (ii) the mechanics of structures and systems (structural dynamics, vibration, seismic response, soil-structure interaction, fluid-structure interaction, response to blast and impact, response to fire, structural stability, buckling, collapse behaviour); (iii) the numerical modelling and experimental testing of materials and structures (numerical methods, simulation techniques, multi-scale modelling, computational modelling, laboratory testing, field testing, experimental measurements); (iv) innovations and special structures (nanostructures, adaptive structures, smart structures, composite structures, bio-inspired structures, shell structures, membranes, space structures, lightweight structures, long-span structures, tall buildings, wind turbines, etc); (v) design in traditional engineering materials (steel, concrete, steel-concrete composite, aluminium, masonry, timber, glass); (vi) the process of structural engineering (conceptualisation, planning, analysis, design, optimization, construction, assembly, manufacture, testing, maintenance, monitoring, assessment, repair, strengthening, retrofitting, decommissioning). The SEMC 2019 Proceedings will be of interest to civil, structural, mechanical, marine and aerospace engineers. Researchers, developers, practitioners and academics in these disciplines will find them useful. Two versions of the papers are available. Short versions, intended to be concise but self-contained summaries of the full papers, are in this printed book. The full versions of the papers are in the e-book.

Getting StartED Building Websites

By Alexander Dawson
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Apress
  • Isbn Code : 1430225181
  • Number of Pages : 688
  • Category : Computers
  • Reviews : 566
  • Pdf File: getting-started-building-websites.pdf

Book Excerpt:

Website design and development can be a minefield for beginners. Where do you start? What languages should you learn? What techniques should you use to produce your site? What should you put on your site? How do you make it look appealing? How do you update it? This book takes into account the most frequently asked website design and development questions and gives you straightforward answers. No experience required in this step-by-step guide to website design and development Presents the important techniques you need to learn in easy-to-follow examples Takes the confusion out of languages, technologies, and all the important elements of the development process

Mastering Predictive Analytics with scikit-learn and TensorFlow

By Alvaro Fuentes
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Packt Publishing Ltd
  • Isbn Code : 1789612241
  • Number of Pages : 154
  • Category : Computers
  • Reviews : 504
  • Pdf File: mastering-predictive-analytics-with-scikit-learn-and-tensorflow.pdf

Book Excerpt:

Learn advanced techniques to improve the performance and quality of your predictive models Key Features Use ensemble methods to improve the performance of predictive analytics models Implement feature selection, dimensionality reduction, and cross-validation techniques Develop neural network models and master the basics of deep learning Book Description Python is a programming language that provides a wide range of features that can be used in the field of data science. Mastering Predictive Analytics with scikit-learn and TensorFlow covers various implementations of ensemble methods, how they are used with real-world datasets, and how they improve prediction accuracy in classification and regression problems. This book starts with ensemble methods and their features. You will see that scikit-learn provides tools for choosing hyperparameters for models. As you make your way through the book, you will cover the nitty-gritty of predictive analytics and explore its features and characteristics. You will also be introduced to artificial neural networks and TensorFlow, and how it is used to create neural networks. In the final chapter, you will explore factors such as computational power, along with improvement methods and software enhancements for efficient predictive analytics. By the end of this book, you will be well-versed in using deep neural networks to solve common problems in big data analysis. What you will learn Use ensemble algorithms to obtain accurate predictions Apply dimensionality reduction techniques to combine features and build better models Choose the optimal hyperparameters using cross-validation Implement different techniques to solve current challenges in the predictive analytics domain Understand various elements of deep neural network (DNN) models Implement neural networks to solve both classification and regression problems Who this book is for Mastering Predictive Analytics with scikit-learn and TensorFlow is for data analysts, software engineers, and machine learning developers who are interested in implementing advanced predictive analytics using Python. Business intelligence experts will also find this book indispensable as it will teach them how to progress from basic predictive models to building advanced models and producing more accurate predictions. Prior knowledge of Python and familiarity with predictive analytics concepts are assumed.

Machine Learning for Future Fiber-Optic Communication Systems

By Alan Pak Tao Lau,Faisal Nadeem Khan
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Academic Press
  • Isbn Code : 0323852289
  • Number of Pages : 402
  • Category : Technology & Engineering
  • Reviews : 428
  • Pdf File: machine-learning-for-future-fiber-optic-communication-systems.pdf

Book Excerpt:

Machine Learning for Future Fiber-Optic Communication Systems provides a comprehensive and in-depth treatment of machine learning concepts and techniques applied to key areas within optical communications and networking, reflecting the state-of-the-art research and industrial practices. The book gives knowledge and insights into the role machine learning-based mechanisms will soon play in the future realization of intelligent optical network infrastructures that can manage and monitor themselves, diagnose and resolve problems, and provide intelligent and efficient services to the end users. With up-to-date coverage and extensive treatment of various important topics related to machine learning for fiber-optic communication systems, this book is an invaluable reference for photonics researchers and engineers. It is also a very suitable text for graduate students interested in ML-based signal processing and networking. Discusses the reasons behind the recent popularity of machine learning (ML) concepts in modern optical communication networks and the why/where/how ML can play a unique role Presents fundamental ML techniques like artificial neural networks (ANNs), support vector machines (SVMs), K-means clustering, expectation-maximization (EM) algorithm, principal component analysis (PCA), independent component analysis (ICA), reinforcement learning, and more Covers advanced deep learning (DL) methods such as deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs) Individual chapters focus on ML applications in key areas of optical communications and networking

The Advanced American Bidding System

By Chris Hasney, with Jerry Pottier
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Trafford Publishing
  • Isbn Code : 1466980982
  • Number of Pages : 176
  • Category : Games
  • Reviews : 358
  • Pdf File: the-advanced-american-bidding-system.pdf

Book Excerpt:

Overview of the American Bridge Series The American Bridge Series is designed as a sequential set of bidding courses, suitable for self-study or classroom-style study under the guidance of a professional bridge teacher. Volumes I through III include declarer play and defense skills as they relate to the bidding skills taught in each text. Volume IV is reserved for true experts; thus, declarer play and defense lessons would be an insult and are not included. The entire series takes about five years of study and practice to complete. Volume I, The Basic American Bidding System was written for beginners and for social players who need to brush-up on basic bidding skills prior to tackling modern bidding methods. It features 5-card major suit opening bids, strong twos, and some basics of Forcing and Non-Forcing Stayman, Blackwood, Gerber, and few other things designed to form the framework for further study. Volume II, The Intermediate American Bidding System makes the transition to modern methods including weak two openings. It teaches all of the pieces of "Standard" American in a way that integrates all of the varied forms of same. Don't be thrown by the term "intermediate." Many duplicate players think that they have reached that level when they can no longer play in novice games. Not so. "Intermediate," as defined by the authors, can vary from folks with zero ACBL masterpoints to 2500 masterpoints. It's not the points that count, it's the skill level. Volume III, The Advanced American Bidding System presumes a complete understanding and skill with all of the material in Volume II. However, some of the Volume II material is repeated for intended redundancy, since the authors suspect that many folks who shouldn't be attempting to study Volume III will do so anyway. After all, "I'm a Life Master, I must be Advanced." The authors suggest that anyone not comfortable playing in Flight A at an ACBL regional or national tournament, or the World Bridge Federation (WBF) or other governing body equivalent thereof avoid purchase and study of Volume III until they have mastered all that is taught in Volume II. Volume IV, The Expert American Bidding System, (NOT YET RELEASED) presumes two years' experience with the bidding techniques taught in Volume III, and expert declarer play and defense skills. This is not a "Mom and Pop" book. It is for those who wish to successfully compete in such ACBL events as Flight A Grand National Teams, the Blue Ribbon Pairs, the Life Master Pairs, the Spingold, Vanderbilt, and Reisinger teams, etc., and International events like the Bermuda Bowl and Venice Cup, The London Times Pairs, the McCallan, etc. It features 4-card majors, the TEAS responses to no trump openings, weak no trumps, and a variety of other bidding methods which will get bidders to the optimum place but will require expert declarer play or defensive skills to maximize results. All four books emphasize sound, disciplined bidding and an underlying philosophy of "You bid your cards, I'll bid mine, we'll get to the right spot." By the time students complete study and practice of Volume III, they should be able to know what cards partner holds almost to the spot at the conclusion of an auction. In fact, Jerry and one of his partners were once accused of cheating when they got cocky and did this after an auction. The comment was: "How can you know what cards your partner holds?" Jerry's answer: "Isn't that the whole point of the bidding?"

Pattern Recognition and Computer Vision

By Huimin Ma,Liang Wang,Changshui Zhang,Fei Wu,Tieniu Tan,Yaonan Wang,Jianhuang Lai,Yao Zhao
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Springer Nature
  • Isbn Code : 3030880079
  • Number of Pages : 677
  • Category : Computers
  • Reviews : 511
  • Pdf File: pattern-recognition-and-computer-vision.pdf

Book Excerpt:

The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.

Deep Learning: Concepts and Architectures

By Witold Pedrycz,Shyi-Ming Chen
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Springer Nature
  • Isbn Code : 3030317560
  • Number of Pages : 342
  • Category : Technology & Engineering
  • Reviews : 887
  • Pdf File: deep-learning.pdf

Book Excerpt:

This book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm supports automatic mechanisms of structural knowledge representation. It discusses a number of multilayer architectures giving rise to tangible and functionally meaningful pieces of knowledge, and shows how the structural developments have become essential to the successful delivery of competitive practical solutions to real-world problems. The book also demonstrates how the architectural developments, which arise in the setting of deep learning, support detailed learning and refinements to the system design. Featuring detailed descriptions of the current trends in the design and analysis of deep learning topologies, the book offers practical guidelines and presents competitive solutions to various areas of language modeling, graph representation, and forecasting.

Deep Learning with R Cookbook

By Swarna Gupta,Rehan Ali Ansari,Dipayan Sarkar
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Packt Publishing Ltd
  • Isbn Code : 1789808278
  • Number of Pages : 328
  • Category : Computers
  • Reviews : 571
  • Pdf File: deep-learning-with-r-cookbook.pdf

Book Excerpt:

Tackle the complex challenges faced while building end-to-end deep learning models using modern R libraries Key Features Understand the intricacies of R deep learning packages to perform a range of deep learning tasks Implement deep learning techniques and algorithms for real-world use cases Explore various state-of-the-art techniques for fine-tuning neural network models Book Description Deep learning (DL) has evolved in recent years with developments such as generative adversarial networks (GANs), variational autoencoders (VAEs), and deep reinforcement learning. This book will get you up and running with R 3.5.x to help you implement DL techniques. The book starts with the various DL techniques that you can implement in your apps. A unique set of recipes will help you solve binomial and multinomial classification problems, and perform regression and hyperparameter optimization. To help you gain hands-on experience of concepts, the book features recipes for implementing convolutional neural networks (CNNs), recurrent neural networks (RNNs), and Long short-term memory (LSTMs) networks, as well as sequence-to-sequence models and reinforcement learning. You’ll then learn about high-performance computation using GPUs, along with learning about parallel computation capabilities in R. Later, you’ll explore libraries, such as MXNet, that are designed for GPU computing and state-of-the-art DL. Finally, you’ll discover how to solve different problems in NLP, object detection, and action identification, before understanding how to use pre-trained models in DL apps. By the end of this book, you’ll have comprehensive knowledge of DL and DL packages, and be able to develop effective solutions for different DL problems. What you will learn Work with different datasets for image classification using CNNs Apply transfer learning to solve complex computer vision problems Use RNNs and their variants such as LSTMs and Gated Recurrent Units (GRUs) for sequence data generation and classification Implement autoencoders for DL tasks such as dimensionality reduction, denoising, and image colorization Build deep generative models to create photorealistic images using GANs and VAEs Use MXNet to accelerate the training of DL models through distributed computing Who this book is for This deep learning book is for data scientists, machine learning practitioners, deep learning researchers and AI enthusiasts who want to learn key tasks in deep learning domains using a recipe-based approach. A strong understanding of machine learning and working knowledge of the R programming language is mandatory.

Advances in Knowledge Discovery and Data Mining

By Kamal Karlapalem,Hong Cheng,Naren Ramakrishnan,R. K. Agrawal,P. Krishna Reddy,Jaideep Srivastava,Tanmoy Chakraborty
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Springer Nature
  • Isbn Code : 3030757625
  • Number of Pages : 834
  • Category : Computers
  • Reviews : 236
  • Pdf File: advances-in-knowledge-discovery-and-data-mining.pdf

Book Excerpt:

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.

Artificial Intelligence and Cybersecurity

By Ishaani Priyadarshini,Rohit Sharma
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : CRC Press
  • Isbn Code : 1000530639
  • Number of Pages : 222
  • Category : Technology & Engineering
  • Reviews : 334
  • Pdf File: artificial-intelligence-and-cybersecurity.pdf

Book Excerpt:

Artificial intelligence and cybersecurity are two emerging fields that have made phenomenal contributions toward technological advancement. As cyber-attacks increase, there is a need to identify threats and thwart attacks. This book incorporates recent developments that artificial intelligence brings to the cybersecurity world. Artificial Intelligence and Cybersecurity: Advances and Innovations provides advanced system implementation for Smart Cities using artificial intelligence. It addresses the complete functional framework workflow and explores basic and high-level concepts. The book is based on the latest technologies covering major challenges, issues and advances, and discusses intelligent data management and automated systems. This edited book provides a premier interdisciplinary platform for researchers, practitioners and educators. It presents and discusses the most recent innovations, trends and concerns as well as practical challenges and solutions adopted in the fields of artificial intelligence and cybersecurity.

Introduction to Machine Learning in the Cloud with Python

By Pramod Gupta,Naresh K. Sehgal
  • File : Pdf, ePub, Mobi, Kindle
  • Publisher : Springer Nature
  • Isbn Code : 3030712702
  • Number of Pages : 284
  • Category : Technology & Engineering
  • Reviews : 195
  • Pdf File: introduction-to-machine-learning-in-the-cloud-with-python.pdf

Book Excerpt:

This book provides an introduction to machine learning and cloud computing, both from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.