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Ultimate Guide to Link Building : How to Build Website Authority, Increase Traffic and Search Ranking with Backlinks
Link. Rank. Profit.Web marketing pioneers Eric Ward and Garrett French explain the complicated world of link building and the art of backlinks in this second edition of their groundbreaking guide to the business of web links. The web has changed from a web of things to a web of people. And it's all about connections, about the way we're all linked together by one thing or another.From content development and integrated marketing techniques to purely tactical link bait, this is a comprehensive guide, with examples and templates, from the masters of link marketing. Link building expert Eric Ward and online marketer Garrett French teach you how to wisely:Execute a link audit and competitor analysisDevelop a structured, long-term link-building strategyIdentify and approach quality, top-ranking websites with a value propositionDifferentiate links for traffic from links for rankingKeep on the right side of search engine guidelines
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Honest Seo : Demystifying the Google Algorithm to Help You Get More Traffic and Revenue
SEO is confusing—but it doesn’t have to be. With SEO, there’s so much misinformation out there.There are also a lot of inexperienced practitioners giving not-so-great (and often not-so-honest) advice.This can be complicated, overwhelming, and expensive, leaving you feeling indecisive and not knowing where to start or who to believe. That’s where Honest SEO, a book that’s been over 20 years in the making, comes in.Jason Hennessey—after spending decades reverse engineering the Google algorithm—shares the proven strategies he’s used to earn more than $1 billion for his clients by leveraging the power of SEO. And you don’t have to know how to code or have a computer science degree to read and understand this book.With Honest SEO, you can learn the fundamentals that won’t go out of style when Google releases a new algorithm update.No matter what business you’re in, even if you don’t know where to start or what to focus on to actually get results, Honest SEO is the digital marketing blueprint written with perennial cutting-edge strategies that’ll increase your Google rankings, traffic, leads, and sales, all with the goal of increasing your revenue.
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Predictive Analytics : Modeling and Optimization
Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence.This book provides the most recent advances in the field along with case studies and real-world examples.It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management.It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples.The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management.Students taking courses in these areas will also find this book of interest.
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Analytics and Optimization for Renewable Energy Integration
The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation.It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.
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Healthcare Big Data Analytics : Computational Optimization and Cohesive Approaches
This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis.In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques.The book also explores challenges, opportunities, and future research directions, discussing the stages of data collection and pre-processing, as well as the associated challenges and issues in data handling and setup.
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The Art of SEO : Mastering Search Engine Optimization
Three acknowledged experts in search engine optimization share guidelines and innovative techniques that will help you plan and execute a comprehensive SEO strategy.Complete with an array of effective tactics from basic to advanced, this fourth edition prepares digital marketers for 2022 and beyond with updates on SEO tools and new search engine optimization methods that have reshaped the SEO landscape. Novices will receive a thorough SEO education, while experienced SEO practitioners get an extensive reference to support ongoing engagements.Learn about the various intricacies and complexities of internet search Explore the underlying theory and inner workings of search engines and their algorithms Understand the interplay between social media engagement and other factors Discover tools to track results and measure success Examine the effects of key Google algorithm updates Consider opportunities for visibility in mobile, local, vertical, social, and voice search Build a competent SEO team with defined roles Gain insights into the future of search and internet discoverability
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An Introduction to Optimization with Applications in Machine Learning and Data Analytics
The primary goal of this text is a practical one. Equipping students with enough knowledge and creating an independent research platform, the author strives to prepare students for professional careers.Providing students with a marketable skill set requires topics from many areas of optimization.The initial goal of this text is to develop a marketable skill set for mathematics majors as well as for students of engineering, computer science, economics, statistics, and business.Optimization reaches into many different fields. This text provides a balance where one is needed. Mathematics optimization books are often too heavy on theory without enough applications; texts aimed at business students are often strong on applications, but weak on math.The book represents an attempt at overcoming this imbalance for all students taking such a course. The book contains many practical applications but also explains the mathematics behind the techniques, including stating definitions and proving theorems.Optimization techniques are at the heart of the first spam filters, are used in self-driving cars, play a great role in machine learning, and can be used in such places as determining a batting order in a Major League Baseball game.Additionally, optimization has seemingly limitless other applications in business and industry.In short, knowledge of this subject offers an individual both a very marketable skill set for a wealth of jobs as well as useful tools for research in many academic disciplines. Many of the problems rely on using a computer. Microsoft’s Excel is most often used, as this is common in business, but Python and other languages are considered.The consideration of other programming languages permits experienced mathematics and engineering students to use MATLAB® or Mathematica, and the computer science students to write their own programs in Java or Python.
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Advanced Data Analytics Using Python : With Architectural Patterns, Text and Image Classification, and Optimization Techniques
Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python.This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural language processing, and computer vision in the cloud environment. Generic design patterns in Python programming is clearly explained, emphasizing architectural practices such as hot potato anti-patterns.You'll review recent advances in databases such as Neo4j, Elasticsearch, and MongoDB.You'll then study feature engineering in images and texts with implementing business logic and see how to build machine learning and deep learning models using transfer learning.Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network, regularization techniques, and algorithmic design patterns in data analyticswith reinforcement learning.Finally, the recommender system in PySpark explains how to optimize models for a specific application.What You'll LearnBuild intelligent systems for enterpriseReview time series analysis, classifications, regression, and clusteringExplore supervised learning, unsupervised learning, reinforcement learning, and transfer learning Use cloud platforms like GCP and AWS in data analyticsUnderstand Covers design patterns in Python Who This Book Is ForData scientists and software developers interested in the field of data analytics.
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