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Author: Mike Moran
Publisher: Pearson Education
ISBN: 0137005148
Category : Business & Economics
Languages : en
Pages : 866
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Book Description
The #1 Step-by-Step Guide to Search Marketing Success...Now Completely Updated with New Techniques, Tools, and Best Practices! In this book, two world-class experts present today’s best practices, step-by-step techniques, and hard-won tips for using search engine marketing to achieve your sales and marketing goals, whatever they are. Mike Moran and Bill Hunt thoroughly cover both the business and technical aspects of contemporary search engine marketing, walking beginners through all the basics while providing reliable, up-to-the-minute insights for experienced professionals. Thoroughly updated to fully reflect today’s latest search engine marketing opportunities, this book guides you through profiting from social media marketing, site search, advanced keyword tools, hybrid paid search auctions, and much more. You’ll walk step-by-step through every facet of creating an effective program: projecting business value, selling stakeholders and executives, building teams, choosing strategy, implementing metrics, and above all, execution. Whether you’re a marketing, Web, or IT professional, product manager, or content specialist, Search Engine Marketing, Inc., Second Edition will help you define your SEO/SEM goals, craft a best-practices program for achieving them, and implement it flawlessly.
Author: Mike Moran
Publisher: Pearson Education
ISBN: 0137005148
Category : Business & Economics
Languages : en
Pages : 866
Get Book
Book Description
The #1 Step-by-Step Guide to Search Marketing Success...Now Completely Updated with New Techniques, Tools, and Best Practices! In this book, two world-class experts present today’s best practices, step-by-step techniques, and hard-won tips for using search engine marketing to achieve your sales and marketing goals, whatever they are. Mike Moran and Bill Hunt thoroughly cover both the business and technical aspects of contemporary search engine marketing, walking beginners through all the basics while providing reliable, up-to-the-minute insights for experienced professionals. Thoroughly updated to fully reflect today’s latest search engine marketing opportunities, this book guides you through profiting from social media marketing, site search, advanced keyword tools, hybrid paid search auctions, and much more. You’ll walk step-by-step through every facet of creating an effective program: projecting business value, selling stakeholders and executives, building teams, choosing strategy, implementing metrics, and above all, execution. Whether you’re a marketing, Web, or IT professional, product manager, or content specialist, Search Engine Marketing, Inc., Second Edition will help you define your SEO/SEM goals, craft a best-practices program for achieving them, and implement it flawlessly.
Author: James J. Maivald
Publisher: Adobe Press
ISBN: 0137623216
Category : Computers
Languages : en
Pages : 755
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Book Description
Learn how to create webpages for the modern web; incorporate graphics and text; build rich interactive applications; add links to text and images; add interactive elements to your sites; work with HTML5 and CSS3 code and structures; adapt webpage designs to a wide variety of desktop computers and mobile devices with a minimum of hand coding; and publish a finished site to the web. The fastest, easiest, most comprehensive way to learn Adobe Dreamweaver Classroom in a Book®, the best-selling series of hands-on software training workbooks, offers what no other book or training program does—an official training series from Adobe, developed with the support of Adobe product experts. Adobe Dreamweaver Classroom in a Book (2022 release) contains 12 lessons that cover the basics and beyond, providing countless tips and techniques to help you become more productive with the program. You can follow the book from start to finish or choose only those lessons that interest you. Purchasing this book includes valuable online extras. Follow the instructions in the book's "Getting Started" section to unlock access to: Downloadable lesson files you need to work through the projects in the book Web Edition containing the complete text of the book, interactive quizzes, and videos that walk you through the lessons step by step What you need to use this book: Adobe Dreamweaver (2022 release) software, for either Windows or macOS. (Software not included.) Note: Classroom in a Book does not replace the documentation, support, updates, or any other benefits of being a registered owner of Adobe Dreamweaver software.
Author: Michael R. Miller
Publisher: Que Publishing
ISBN: 0133354091
Category : Business & Economics
Languages : en
Pages : 452
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Book Description
Write great search-optimized, customer-optimized web copy! (No experience? No problem!) Need to put together a website? Or post to your company’s Facebook page? Or write a great Google AdWords ad? You know it’s important. Your image is at stake. Maybe a lot ofmoney, too. But you’re not a professional web copywriter. Where do you start? Right here. Million-selling author Michael Miller will teach you, show you, guide you–even if you’ve never done it before! Think you can’t write? Hate to write? Forget school: Here are all the professional-quality online copywriting tips and tricks you need right now. Miller will help you find your voice, organize your message, use links, get great search results, and a whole lot more. Best of all, you’ll learn how to grab hold of people in seconds–because that’s all the time you’ve got! • The perfect web copywriting guide for every entrepreneur, small businessperson, blogger, and website owner • Keep it short, keep it simple! • Think like your readers, fire them up, and get them to act! • Write text that search engines and humans will both love • Be absolutely clear! Squeeze all the confusion out of your content • Make sure you know just enough grammar and punctuation • Combine text and visuals to make them both work better • Choose the right delivery formats • Integrate your copy into an existing web page design • Work well with web designers and developers Detailed, expert guidance for writing: • Web pages • Online articles • Blog posts • Social media updates • Web ads • Email promos & newsletters • Online press releases • Online help & FAQs • Smartphone & tablet content • Web interfaces Michael Miller has written 100+ non-fiction books, including The Ultimate Web Marketing Guide; B2B Digital Marketing; Using Google® AdWords and AdSense; Using Google® Search; The Complete Idiot’s Guide to Search Engine Optimization; Sams Teach Yourself Google Analytics in 10 Minutes; and Facebook for Grown-Ups. Miller’s books have sold more than one million copies worldwide. He has earned a reputation for clearly explaining technical subjects to non-technical readers, and offering exceptionally useful real-world advice on complex topics.
Author: Sander van Vugt
Publisher: Pearson IT Certification
ISBN: 0135938163
Category : Computers
Languages : en
Pages :
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Book Description
This is the eBook version of the print title. Learn, prepare, and practice for Red Hat RHCSA 8 (EX200) exam success with this Cert Guide from Pearson IT Certification, a leader in IT Certification learning. Master Red Hat RHCSA 8 EX200 exam topics Assess your knowledge with chapter-ending quizzes Review key concepts with exam-preparation tasks Practice with four unique practice tests Learn from two full hours of video training from the author’s Red Hat Certified System Administrator (RHCSA) Complete Video Course, 3rd Edition. Red Hat RHCSA 8 Cert Guide is a best-of-breed exam study guide. Leading Linux consultant, author, and instructor Sander van Vugt shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills. Material is presented in a concise manner, focusing on increasing your understanding and retention of exam topics. The book presents you with an organized test-preparation routine through the use of proven series elements and techniques. Exam topic lists make referencing easy. Chapter-ending Exam Preparation Tasks help you drill on key concepts you must know thoroughly. Review questions help you assess your knowledge, and a final preparation chapter guides you through tools and resources to help you craft your final study plan. Well regarded for its level of detail, assessment features, and challenging review questions and exercises, this study guide helps you master the concepts and techniques that will enable you to succeed on the exam the first time, including Basic system management: Installation, tools, file management, text files, RHEL8 connections, user/group management, permissions, and network configuration Operating running systems: Managing software, processes, storage, and advanced storage; working with systemd; scheduling tasks; and configuring logging Advanced system administration: Managing the kernel and boot procedures, essential troubleshooting, bash shell scripting Managing network services: Configuring SSH, firewalls, and time services; managing Apache HTTP services and SE Linux; and accessing network storage
Author: Jon Krohn
Publisher: Addison-Wesley Professional
ISBN: 0135121728
Category : Computers
Languages : en
Pages : 725
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Book Description
"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." – Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Author: Anthony J. Sequeira
Publisher: Pearson IT Certification
ISBN: 0134685563
Category : Computers
Languages : en
Pages : 723
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Book Description
This is the eBook version of the print title. Note that the eBook does not provide access to the practice test software that accompanies the print book. Access to the appendixes and video lessons is available through product registration at Pearson IT Certification; or see instructions in back pages of your eBook. Learn, prepare, and practice for MCSA 70-740 exam success with this Cert Guide from Pearson IT Certification, a leader in IT certification. Master MCSA 70-740 exam topics Assess your knowledge with chapter-ending quizzes Review key concepts with exam preparation tasks Learn from more than one hour of video lessons MCSA 70-740 Cert Guide is a best-of-breed exam study guide. Leading technology trainer and consultant Anthony Sequeira shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills. Material is presented in a concise manner, focusing on increasing your understanding and retention of exam topics. The book presents you with an organized test preparation routine through the use of proven series elements and techniques. Exam topic lists make referencing easy. Chapter-ending Exam Preparation Tasks help you drill on key concepts you must know thoroughly. Review questions help you assess your knowledge, and a final preparation chapter guides you through tools and resources to help you craft your final study plan. Well regarded for its level of detail, assessment features, and challenging review questions and exercises, this study guide helps you master the concepts and techniques that will allow you to succeed on the exam the first time. The study guide helps you master all the topics on the MCSA 70-740 exam, including: Windows Server installation in host and compute environments, including Nano Server Storage: configuring disks and volumes, implementing server storage, and data duplication Hyper-V implementation, including VM settings, storage, and networking Windows container deployment and management High availability: HA/DR options, failover clustering, Storage Spaces Direct, VM movement, and network load balancing Server environment maintenance and monitoring
Author: Chad Hintz
Publisher: Cisco Press
ISBN: 0134514769
Category : Computers
Languages : en
Pages : 960
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Book Description
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. CCNA Data Center DCICN 200-150 Official Cert Guide from Cisco Press allows you to succeed on the exam the first time and is the only self-study resource approved by Cisco. Cisco Data Center experts Chad Hintz, Cesar Obediente, and Ozden Karakok share preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills. This complete study package includes A test-preparation routine proven to help you pass the exam Do I Know This Already? quizzes, which allows you to decide how much time you need to spend on each section Chapter-ending exercises, which help you drill on key concepts you must know thoroughly The powerful Pearson IT Certification Practice Test software complete with hundreds of well-reviewed, exam-realistic questions customization options, and detailed performance reports final preparation chapter, which guides you through tools and resources to help you craft your review and test-taking strategies Study plan suggestions and templates to help you organize and optimize your study time Well-regarded for its level of detail, study plans, assessment features, challenging review questions and exercises, this official study guide helps you master the concepts and techniques that ensure your exam success. The official study guide helps you master topics on the CCNA Data Center DCICN 200-150 exam, including the following: Nexus data center infrastructure and architecture Networking models, Ethernet LANs, and IPv4/IPv6 addressing/routing Data center Nexus switching and routing fundamentals Nexus switch installation and operation VLANs, trunking, STP, and Ethernet switching IPv4 and IPv6 subnetting IPv4 routing concepts, protocols, configuration, and access control Data center storage networking technologies and configurations
Author: Paul Deitel
Publisher: Prentice Hall
ISBN: 0135231345
Category : Computers
Languages : en
Pages : 1259
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Book Description
The professional programmer’s Deitel® guide to Python® with introductory artificial intelligence case studies Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python–one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details. In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 1-5 and a few key parts of Chapters 6-7, you’ll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11-16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® WatsonTM, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data with Hadoop®, SparkTM and NoSQL databases, the Internet of Things and more. You’ll also work directly or indirectly with cloud-based services, including Twitter, Google TranslateTM, IBM Watson, Microsoft® Azure®, OpenMapQuest, PubNub and more. Features 500+ hands-on, real-world, live-code examples from snippets to case studies IPython + code in Jupyter® Notebooks Library-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code Rich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions Procedural, functional-style and object-oriented programming Collections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series & DataFrames Static, dynamic and interactive visualizations Data experiences with real-world datasets and data sources Intro to Data Science sections: AI, basic stats, simulation, animation, random variables, data wrangling, regression AI, big data and cloud data science case studies: NLP, data mining Twitter®, IBM® WatsonTM, machine learning, deep learning, computer vision, Hadoop®, SparkTM, NoSQL, IoT Open-source libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikit-learn®, Keras and more Accompanying code examples are available here: http://ptgmedia.pearsoncmg.com/imprint_downloads/informit/bookreg/9780135224335/9780135224335_examples.zip. Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside book for more information.
Author: Jeff T. Parker
Publisher: John Wiley & Sons
ISBN: 1119516978
Category : Computers
Languages : en
Pages : 560
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Book Description
Test your knowledge and know what to expect on A+ exam day CompTIA A+ Complete Practice Tests, Second Edition enables you to hone your test-taking skills, focus on challenging areas, and be thoroughly prepared to ace the exam and earn your A+ certification. This essential component of your overall study plan presents nine unique practice tests—and two 90-question bonus tests—covering 100% of the objective domains for both the 220-1001 and 220-1002 exams. Comprehensive coverage of every essential exam topic ensures that you will know what to expect on exam day and maximize your chances for success. Over 1200 practice questions on topics including hardware, networking, mobile devices, operating systems and procedures, troubleshooting, and more, lets you assess your performance and gain the confidence you need to pass the exam with flying colors. This second edition has been fully updated to reflect the latest best practices and updated exam objectives you will see on the big day. A+ certification is a crucial step in your IT career. Many businesses require this accreditation when hiring computer technicians or validating the skills of current employees. This collection of practice tests allows you to: Access the test bank in the Sybex interactive learning environment Understand the subject matter through clear and accurate answers and explanations of exam objectives Evaluate your exam knowledge and concentrate on problem areas Integrate practice tests with other Sybex review and study guides, including the CompTIA A+ Complete Study Guide and the CompTIA A+ Complete Deluxe Study Guide Practice tests are an effective way to increase comprehension, strengthen retention, and measure overall knowledge. The CompTIA A+ Complete Practice Tests, Second Edition is an indispensable part of any study plan for A+ certification.
Author: Ofer Mendelevitch
Publisher: Addison-Wesley Professional
ISBN: 0134029720
Category : Computers
Languages : en
Pages : 463
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Book Description
The Complete Guide to Data Science with Hadoop—For Technical Professionals, Businesspeople, and Students Demand is soaring for professionals who can solve real data science problems with Hadoop and Spark. Practical Data Science with Hadoop® and Spark is your complete guide to doing just that. Drawing on immense experience with Hadoop and big data, three leading experts bring together everything you need: high-level concepts, deep-dive techniques, real-world use cases, practical applications, and hands-on tutorials. The authors introduce the essentials of data science and the modern Hadoop ecosystem, explaining how Hadoop and Spark have evolved into an effective platform for solving data science problems at scale. In addition to comprehensive application coverage, the authors also provide useful guidance on the important steps of data ingestion, data munging, and visualization. Once the groundwork is in place, the authors focus on specific applications, including machine learning, predictive modeling for sentiment analysis, clustering for document analysis, anomaly detection, and natural language processing (NLP). This guide provides a strong technical foundation for those who want to do practical data science, and also presents business-driven guidance on how to apply Hadoop and Spark to optimize ROI of data science initiatives. Learn What data science is, how it has evolved, and how to plan a data science career How data volume, variety, and velocity shape data science use cases Hadoop and its ecosystem, including HDFS, MapReduce, YARN, and Spark Data importation with Hive and Spark Data quality, preprocessing, preparation, and modeling Visualization: surfacing insights from huge data sets Machine learning: classification, regression, clustering, and anomaly detection Algorithms and Hadoop tools for predictive modeling Cluster analysis and similarity functions Large-scale anomaly detection NLP: applying data science to human language
