Dotnetnuke For Dummies - [PDF] Full eBook Download

DotNetNuke For Dummies

Author :

ISBN10 : 9781118052921

Publisher : John Wiley & Sons

Number of Pages : 408

Category : Computers

Viewed : 1518

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Book Summary: 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!

Beginning DotNetNuke 4.0 Website Creation in C# 2005 with Visual Web Developer 2005 Express

Author : Nick Symmonds

ISBN10 : 9781430201809

Publisher : Apress

Number of Pages : 416

Category : Computers

Viewed : 1870

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Book Summary: This book teaches you how to create your own dynamic websites using the free products DotNetNuke 4.0 and Visual Web Developer 2005 Express. It’s a book for beginners and hobbyists, people who don’t necessarily have a deep understanding of computer systems, but who never the less want to get the job done and create a website that will be of value to their lives or businesses. After reading this book, and for no additional outlay, they will be able to create a website on their computer that is virtually indistinguishable from one that cost thousands from a professional firm. All they need to do then is host it.

TensorFlow For Dummies

Author : Matthew Scarpino

ISBN10 : 1119466199

Publisher : John Wiley & Sons

Number of Pages : 360

Category : Computers

Viewed : 632

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Book Summary: Become a machine learning pro! Google TensorFlow has become the darling of financial firms and research organizations, but the technology can be intimidating and the learning curve is steep. Luckily, TensorFlow For Dummies is here to offer you a friendly, easy-to-follow book on the subject. Inside, you’ll find out how to write applications with TensorFlow, while also grasping the concepts underlying machine learning—all without ever losing your cool! Machine learning has become ubiquitous in modern society, and its applications include language translation, robotics, handwriting analysis, financial prediction, and image recognition. TensorFlow is Google's preeminent toolset for machine learning, and this hands-on guide makes it easy to understand, even for those without a background in artificial intelligence. Install TensorFlow on your computer Learn the fundamentals of statistical regression and neural networks Visualize the machine learning process with TensorBoard Perform image recognition with convolutional neural networks (CNNs) Analyze sequential data with recurrent neural networks (RNNs) Execute TensorFlow on mobile devices and the Google Cloud Platform (GCP) If you’re a manager or software developer looking to use TensorFlow for machine learning, this is the book you’ll want to have close by.

Deep Learning For Dummies

Author : John Paul Mueller,Luca Massaron

ISBN10 : 1119543037

Publisher : John Wiley & Sons

Number of Pages : 368

Category : Computers

Viewed : 888

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Book Summary: Take a deep dive into deep learning Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic—and all of the underlying technologies associated with it. In no time, you’ll make sense of those increasingly confusing algorithms, and find a simple and safe environment to experiment with deep learning. The book develops a sense of precisely what deep learning can do at a high level and then provides examples of the major deep learning application types. Includes sample code Provides real-world examples within the approachable text Offers hands-on activities to make learning easier Shows you how to use Deep Learning more effectively with the right tools This book is perfect for those who want to better understand the basis of the underlying technologies that we use each and every day.

IT Architecture For Dummies

Author : Kalani Kirk Hausman,Susan L. Cook

ISBN10 : 9780470926918

Publisher : John Wiley & Sons

Number of Pages : 364

Category : Computers

Viewed : 1480

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Book Summary: A solid introduction to the practices, plans, and skills required for developing a smart system architecture Information architecture combines IT skills with business skills in order to align the IT structure of an organization with the mission, goals, and objectives of its business. This friendly introduction to IT architecture walks you through the myriad issues and complex decisions that many organizations face when setting up IT systems to work in sync with business procedures. Veteran IT professional and author Kirk Hausman explains the business value behind IT architecture and provides you with an action plan for implementing IT architecture procedures in an organization. You'll explore the many challenges that organizations face as they attempt to use technology to enhance their business's productivity so that you can gain a solid understanding of the elements that are required to plan and create an architecture that meets specific business goals. Defines IT architecture as a blend of IT skills and business skills that focuses on business optimization, business architecture, performance management, and organizational structure Uncovers and examines every topic within IT architecture including network, system, data, services, application, and more Addresses the challenges that organizations face when attempting to use information technology to enable profitability and business continuity While companies look to technology more than ever to enhance productivity, you should look to IT Architecture For Dummies for guidance in this field.

Drupal For Dummies

Author : Lynn Beighley,Seamus Bellamy

ISBN10 : 1118147502

Publisher : John Wiley & Sons

Number of Pages : 360

Category : Computers

Viewed : 662

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Book Summary: Learn to set up, manage, and administer a Drupal web site Drupal offers unparalleled flexibility for content-managed websites, and Drupal 7 is the easiest version to use yet. This newedition teaches you the fast, fun, and easy way to get started withDrupal. Even if you have no Drupal experience, you'll quickly learnhow to download and install Drupal, set up your firstcontent-managed site, apply templates, use modules, and more. Drupal gurus Lynn Beighley and Seamus Bellamy show you how totake advantage of what Drupal has to offer, make the most of thenew features in Drupal 7, and demystify perplexing Drupalissues. Drupal is a free, open source modular framework and contentmanagement system designed for content-managed web sites Shows you how to download Drupal; no programming experiencerequired Looks at Drupal 7 and explains new features that make it iseasier to use than previous iterations of Drupal for a creating ablog, content site, or eBusiness site Explains how to organize and create your site's content, applytemplates, and get your first site up and running Details the ways to use modules and third-party templates Whether you're looking to implement a flexible contentmanagement system, turbocharge a blog with photo galleries, oradminister a third-party Drupal site, this book gets you off to arunning start!

Google+ Marketing For Dummies

Author : Jesse Stay

ISBN10 : 1118381432

Publisher : John Wiley & Sons

Number of Pages : 336

Category : Business & Economics

Viewed : 688

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Book Summary: Organize customers, craft targeted messages, or host Hangouts with Google?s social network Google+ is Google's social network that has the social media world abuzz with excitement. With Google tools like YouTube, Picasa, Blogger, and Picnik being integrated with Google+, marketers will find Google+ is the best way to reach the long-time users of Google?s other tools. Google+ expert Jesse Stay shows you how to create and maximize your Google+ presence to connect with your customers. Explains how to sign up for your account and set up your brand profile Shows you how to use Circles, craft targeted messages for the Stream, and add multimedia features to your posts Helps you discover content and the value of the +1 button Shows you how to be mindful of SEO, so that your Google+ brand page can be found Addresses using Google+ to launch a product or promote an event Confidently enter the exciting new Google+ social neighborhood with Google+ Marketing For Dummies.

Top Piano Hits for Dummies Songbook

Author : Adam Perlmutter,Hal Leonard Corp.

ISBN10 : 1480393312

Publisher : Hal Leonard

Number of Pages : 248

Category : Music

Viewed : 670

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Book Summary: (Piano/Vocal/Guitar Songbook). Want to learn to play today's hottest hits? Then this is the book for you! It's an easy-to-use resource for the casual hobbyist or working musician. It includes 36 authentic piano arrangements with guitar chords and lyrics plus performance notes for each song detailing the wheres, whats, and hows all in plain English! Songs include: Apologize * Bad Day * Beautiful * Brave * Call Me Maybe * Fireflies * Home * I Knew You Were Trouble. * Jar of Hearts * Just Give Me a Reason * Love Song * Next to Me * Some Nights * Stay * A Thousand Years * When I Was Your Man * You're Beautiful * and more!

Cyberspace Safety and Security

Author : Jaideep Vaidya,Xiao Zhang,Jin Li

ISBN10 : 3030373525

Publisher : Springer Nature

Number of Pages : 602

Category : Computers

Viewed : 896

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Book Summary: The two volumes LNCS 11982 and 11983 constitute the proceedings of the 11th International Symposium on Cyberspace Safety and Security, CSS 2019, held in Guangzhou, China, in December 2019. The 61 full papers and 40 short papers presented were carefully reviewed and selected from 235 submissions. The papers cover a broad range of topics in the field of cyberspace safety and security, such as authentication, access control, availability, integrity, privacy, confidentiality, dependability and sustainability issues of cyberspace. They are organized in the following topical sections: network security; system security; information security; privacy preservation; machine learning and security; cyberspace safety; big data and security; and cloud and security;

Creating Templates with Artisteer

Author : Jakub Sanecki

ISBN10 : 1849699429

Publisher : Packt Publishing Ltd

Number of Pages : 170

Category : Computers

Viewed : 1723

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Book Summary: Creating stunning templates with Artisteer is a practical, step-by-step guide which will show you how to create professional-looking websites on your own.This book is great for enthusiasts, Artisteer users, and individuals who want to create professional-looking websites without paying for professional services and expensive tools. The book also shows you how to speed up your work and automate time-consuming tasks.

Deep Learning with PyTorch

Author : Luca Pietro Giovanni Antiga,Eli Stevens,Thomas Viehmann

ISBN10 : 1638354073

Publisher : Simon and Schuster

Number of Pages : 520

Category : Computers

Viewed : 534

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Book Summary: “We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference document.” —Soumith Chintala, co-creator of PyTorch Key Features Written by PyTorch’s creator and key contributors Develop deep learning models in a familiar Pythonic way Use PyTorch to build an image classifier for cancer detection Diagnose problems with your neural network and improve training with data augmentation Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands. Instantly familiar to anyone who knows Python data tools like NumPy and Scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It’s great for building quick models, and it scales smoothly from laptop to enterprise. Deep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. After covering the basics, you’ll learn best practices for the entire deep learning pipeline, tackling advanced projects as your PyTorch skills become more sophisticated. All code samples are easy to explore in downloadable Jupyter notebooks. What You Will Learn Understanding deep learning data structures such as tensors and neural networks Best practices for the PyTorch Tensor API, loading data in Python, and visualizing results Implementing modules and loss functions Utilizing pretrained models from PyTorch Hub Methods for training networks with limited inputs Sifting through unreliable results to diagnose and fix problems in your neural network Improve your results with augmented data, better model architecture, and fine tuning This Book Is Written For For Python programmers with an interest in machine learning. No experience with PyTorch or other deep learning frameworks is required. About The Authors Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch. Thomas Viehmann is a Machine Learning and PyTorch speciality trainer and consultant based in Munich, Germany and a PyTorch core developer. Table of Contents PART 1 - CORE PYTORCH 1 Introducing deep learning and the PyTorch Library 2 Pretrained networks 3 It starts with a tensor 4 Real-world data representation using tensors 5 The mechanics of learning 6 Using a neural network to fit the data 7 Telling birds from airplanes: Learning from images 8 Using convolutions to generalize PART 2 - LEARNING FROM IMAGES IN THE REAL WORLD: EARLY DETECTION OF LUNG CANCER 9 Using PyTorch to fight cancer 10 Combining data sources into a unified dataset 11 Training a classification model to detect suspected tumors 12 Improving training with metrics and augmentation 13 Using segmentation to find suspected nodules 14 End-to-end nodule analysis, and where to go next PART 3 - DEPLOYMENT 15 Deploying to production

TensorFlow für Dummies

Author : Matthew Scarpino

ISBN10 : 3527818960

Publisher : John Wiley & Sons

Number of Pages : 324

Category : Computers

Viewed : 729

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Book Summary: TensorFlow ist Googles herausragendes Werkzeug für das maschinelle Lernen, und dieses Buch macht es zugänglich, selbst wenn Sie bisher wenig über neuronale Netze und Deep Learning wissen. Sie erfahren, auf welchen Prinzipien TensorFlow basiert und wie Sie mit TensorFlow Anwendungen schreiben. Gleichzeitig lernen Sie die Konzepte des maschinellen Lernens kennen. Wenn Sie Softwareentwickler sind und TensorFlow in Zukunft einsetzen möchten, dann ist dieses Buch der richtige Einstieg für Sie. Greifen Sie auch zu, wenn Sie einfach mehr über das maschinelle Lernen erfahren wollen.

Chemie für Dummies

Author : Stefanie Ortanderl,Ulf Ritgen

ISBN10 : 3527819908

Publisher : John Wiley & Sons

Number of Pages : 1088

Category : Science

Viewed : 1364

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Book Summary: Chemie ist viel einfacher, als es häufig heißt. Dieses Buch soll dazu beitragen, ihr Interesse an diesem Fach zu wecken oder zu vertiefen. Alle grundlegenden Prinzipien der Chemie werden nachvollziehbar dargestellt. Querbezüge und Zusammenhänge zwischen den verschiedenen Fachgebieten werden gezeigt. Sie werden keine Formel finden, deren Herleitung Sie nicht nachvollziehen können. Am Ende fast jeden Kapitels gibt es Übungsaufgaben. Ausführliche Lösungen gibt es natürlich auch. Das sollte nicht nur für die Prüfungen der ersten Semester reichen, sondern Ihnen auch ein sicheres Fundament für Ihr weiteres Studium bieten.

Differential Equations For Dummies

Author : Steven Holzner

ISBN10 : 0470395664

Publisher : John Wiley & Sons

Number of Pages : 360

Category : Mathematics

Viewed : 1765

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Book Summary: The fun and easy way to understand and solve complex equations Many of the fundamental laws of physics, chemistry, biology, and economics can be formulated as differential equations. This plain-English guide explores the many applications of this mathematical tool and shows how differential equations can help us understand the world around us. Differential Equations For Dummies is the perfect companion for a college differential equations course and is an ideal supplemental resource for other calculus classes as well as science and engineering courses. It offers step-by-step techniques, practical tips, numerous exercises, and clear, concise examples to help readers improve their differential equation-solving skills and boost their test scores.

Neural Networks and Deep Learning

Author : Charu C. Aggarwal

ISBN10 : 3319944630

Publisher : Springer

Number of Pages : 497

Category : Computers

Viewed : 632

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Book Summary: This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems. Applications associated with many different areas like recommender systems, machine translation, image captioning, image classification, reinforcement-learning based gaming, and text analytics are covered. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. These methods are studied together with recent feature engineering methods like word2vec. Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 3 and 4. Chapters 5 and 6 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 7 and 8 discuss recurrent neural networks and convolutional neural networks. Several advanced topics like deep reinforcement learning, neural Turing machines, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 9 and 10. The book is written for graduate students, researchers, and practitioners. Numerous exercises are available along with a solution manual to aid in classroom teaching. Where possible, an application-centric view is highlighted in order to provide an understanding of the practical uses of each class of techniques.

Web Coding & Development All-in-One For Dummies

Author : Paul McFedries

ISBN10 : 1119473799

Publisher : John Wiley & Sons

Number of Pages : 848

Category : Computers

Viewed : 1493

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Book Summary: Speak the languages that power the web With more high-paying web development jobs opening every day, people with coding and web/app building skills are having no problems finding employment. If you’re a would-be developer looking to gain the know-how to build the interfaces, databases, and other features that run modern websites, web apps, and mobile apps, look no further. Web Coding & Development All-in-One For Dummies is your go-to interpreter for speaking the languages that handle those tasks. Get started with a refresher on the rules of coding before diving into the languages that build interfaces, add interactivity to the web, or store and deliver data to sites. When you're ready, jump into guidance on how to put it all together to build a site or create an app. Get the lowdown on coding basics Review HTML and CSS Make sense of JavaScript, jQuery, PHP, and MySQL Create code for web and mobile apps There’s a whole world of opportunity out there for developers—and this fast-track boot camp is here to help you acquire the skills you need to take your career to new heights!

Analysis of Images, Social Networks and Texts

Author : Wil M. P. van der Aalst,Vladimir Batagelj,Goran Glavaš,Dmitry I. Ignatov,Michael Khachay,Sergei O. Kuznetsov,Olessia Koltsova,Irina A. Lomazova,Natalia Loukachevitch,Amedeo Napoli,Alexander Panchenko,Panos M. Pardalos,Marcello Pelillo,Andrey V. Savchenko

ISBN10 : 3030110273

Publisher : Springer

Number of Pages : 344

Category : Computers

Viewed : 531

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Book Summary: This book constitutes the proceedings of the 7th International Conference on Analysis of Images, Social Networks and Texts, AIST 2018, held in Moscow, Russia, in July 2018. The 29 full papers were carefully reviewed and selected from 107 submissions (of which 26 papers were rejected without being reviewed). The papers are organized in topical sections on natural language processing; analysis of images and video; general topics of data analysis; analysis of dynamic behavior through event data; optimization problems on graphs and network structures; and innovative systems.

Practical Military Ordnance Identification, Second Edition

Author : Thomas Gersbeck

ISBN10 : 1351250019

Publisher : CRC Press

Number of Pages : 355

Category : Law

Viewed : 794

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Book Summary: The threat variables associated with military ordnance are enormous, requiring the application of a structured process to identify unknown munitions. The focus of Practical Military Ordnance Identification, Second Edition is the application of a practical deductive process to identify unknown ordnance items that are commonly recovered outside military control. The author supplies a seven-step procedure to identify unknown munitions by their category, group, and type. Detailed logic trees help users narrow down the possibilities in order to accurately identify ordnance. The book covers the safety precautions associated with each category and group of ordnance. It describes many ordnance construction characteristics and explains the fundamentals of military ordnance fuzing. Appendices define terms and supply abbreviations and acronyms used to describe military ordnances. Coverage new to this edition include: a list of conventional markings; additional safety precautions to take; an expanded list of high explosives; additional technical details on explosives effects; hazards associated with pyrotechnics, pyrophorics, smoke compounds, and incendiaries; a section on pre-1870 projectiles, hand grenades, landmines, underwater ordnances, and rockets; and details on Man-Portable-Air-Defense-Systems (MANPADS) missile systems.

Learn Keras for Deep Neural Networks

Author : Jojo Moolayil

ISBN10 : 1484242408

Publisher : Apress

Number of Pages : 182

Category : Computers

Viewed : 466

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Book Summary: 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.

Practical Machine Learning for Data Analysis Using Python

Author : Abdulhamit Subasi

ISBN10 : 0128213809

Publisher : Academic Press

Number of Pages : 534

Category : Computers

Viewed : 1443

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Book Summary: Practical Machine Learning for Data Analysis Using Python is a problem solver’s guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital skills required to understand and solve different problems with machine learning. It teaches machine learning techniques necessary to become a successful practitioner, through the presentation of real-world case studies in Python machine learning ecosystems. The book also focuses on building a foundation of machine learning knowledge to solve different real-world case studies across various fields, including biomedical signal analysis, healthcare, security, economics, and finance. Moreover, it covers a wide range of machine learning models, including regression, classification, and forecasting. The goal of the book is to help a broad range of readers, including IT professionals, analysts, developers, data scientists, engineers, and graduate students, to solve their own real-world problems. Offers a comprehensive overview of the application of machine learning tools in data analysis across a wide range of subject areas Teaches readers how to apply machine learning techniques to biomedical signals, financial data, and healthcare data Explores important classification and regression algorithms as well as other machine learning techniques Explains how to use Python to handle data extraction, manipulation, and exploration techniques, as well as how to visualize data spread across multiple dimensions and extract useful features