Drupal Search Engine Optimization. Drive people to your site with this supercharged guide to Drupal SEO with this book and

Ric Shreves

Drupal is a free and open-source content management system and content management framework written in PHP and distributed under the GNU General Public License. It is used as a back-end system for at least 1.5% of all websites worldwide ranging from personal blogs to corporate, political, and government sites. SEO, or Search Engine Optimization, is the process and techniques by which you optmize the content and style of your site in order to induce more people to view it.Drupal SEO will help you develop and execute an effective search engine optimization strategy for your site. From planning to implementation, the book covers best practices in contemporary SEO.In Drupal SEO you will learn how to develop a dynamic and productive SEO campaign. Covering both the basics of campaign development as well as the daily work it takes to maintain your SEO competitiveness, this book will show you how to produce a distinct and appropriate strategy for your site. In particular you will learn key phrase selection and competitor analysis and the correct groundwork for your dynamic SEO campaign.Drupal SEO will then show you, by finding the right combination of extensions, how to supercharge your site. You will also be given a guided tour of key SEO services, like Google and Bing Webmaster, in order to implement a progressive and effective link building campaign. You will then learn key expert tips and tricks to enable you to build SEO-effective content which will take your site from invisible to unmissable with little effort.

Mastering GeoServer. A holistic guide to implementing a robust, scalable, and secure Enterprise Geospatial Data Hosting System by leveraging the power of GeoServer

Colin Henderson

Data Acquisition using LabVIEW. Click here to enter text

Behzad Ehsani

NI LabVIEW's intuitive graphical interface eliminates the steep learning curve associated with text-based languages such as C or C++. LabVIEW is a proven and powerful integrated development environment to interact with measurement and control hardware, analyze data, publish results, and distribute systems. This hands-on tutorial guide helps you harness the power of LabVIEW for data acquisition. This book begins with a quick introduction to LabVIEW, running through the fundamentals of communication and data collection. Then get to grips with the auto-code generation feature of LabVIEW using its GUI interface. You will learn how to use NI-DAQmax Data acquisition VIs, showing how LabVIEW can be used to appropriate a true physical phenomenon (such as temperature, light, and so on) and convert it to an appropriate data type that can be manipulated and analyzed with a computer. You will also learn how to create Distribution Kit for LabVIEW, acquainting yourself with various debugging techniques offered by LabVIEW to help you in situations where bugs are not letting you run your programs as intended.By the end of the book, you will have a clear idea how to build your own data acquisition system independently and much more.

Big Data Analytics with R. Leverage R Programming to uncover hidden patterns in your Big Data

Simon Walkowiak

Big Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing.The book will begin with a brief introduction to the Big Data world and its current industry standards. With introduction to the R language and presenting its development, structure, applications in real world, and its shortcomings. Book will progress towards revision of major R functions for data management and transformations. Readers will be introduce to Cloud based Big Data solutions (e.g. Amazon EC2 instances and Amazon RDS, Microsoft Azure and its HDInsight clusters) and also provide guidance on R connectivity with relational and non-relational databases such as MongoDB and HBase etc. It will further expand to include Big Data tools such as Apache Hadoop ecosystem, HDFS and MapReduce frameworks. Also other R compatible tools such as Apache Spark, its machine learning library Spark MLlib, as well as H2O.

OpenGL 4.0 Shading Language Cookbook. With over 60 recipes, this Cookbook will teach you both the elementary and finer points of the OpenGL Shading Language, and get you familiar with the specific features of GLSL 4.0. A totally practical, hands-on guide

David Wolff, OpenGL

The OpenGL Shading Language (GLSL) is a programming language used for customizing parts of the OpenGL graphics pipeline that were formerly fixed-function, and are executed directly on the GPU. It provides programmers with unprecedented flexibility for implementing effects and optimizations utilizing the power of modern GPUs. With version 4.0, the language has been further refined to provide programmers with greater flexibility, and additional features have been added such as an entirely new stage called the tessellation shader.The OpenGL Shading Language 4.0 Cookbook provides easy-to-follow examples that first walk you through the theory and background behind each technique then go on to provide and explain the GLSL and OpenGL code needed to implement it. Beginning level through to advanced techniques are presented including topics such as texturing, screen-space techniques, lighting, shading, tessellation shaders, geometry shaders, and shadows.The OpenGL Shading Language 4.0 Cookbook is a practical guide that takes you from the basics of programming with GLSL 4.0 and OpenGL 4.0, through basic lighting and shading techniques, to more advanced techniques and effects. It presents techniques for producing basic lighting and shading effects; examples that demonstrate how to make use of textures for a wide variety of effects and as part of other techniques; examples of screen-space techniques, shadowing, tessellation and geometry shaders, noise, and animation.The OpenGL Shading Language 4.0 Cookbook provides examples of modern shading techniques that can be used as a starting point for programmers to expand upon to produce modern, interactive, 3D computer graphics applications.

Machine Learning: Make Your Own Recommender System. Build Your Recommender System with Machine Learning Insights

Oliver Theobald

With an introductory overview, the course prepares you for a deep dive into the practical application of Scikit-Learn and the datasets that bring theories to life. From the basics of machine learning to the intricate details of setting up a sandbox environment, this course covers the essential groundwork for any aspiring data scientist.The course focuses on developing your skills in working with data, implementing data reduction techniques, and understanding the intricacies of item-based and user-based collaborative filtering, along with content-based filtering. These core methodologies are crucial for creating accurate and efficient recommender systems that cater to the unique preferences of users. Practical examples and evaluations further solidify your learning, making complex concepts accessible and manageable.The course wraps up by addressing the critical topics of privacy, ethics in machine learning, and the exciting future of recommender systems. This holistic approach ensures that you not only gain technical proficiency but also consider the broader implications of your work in this field. With a final look at further resources, your journey into machine learning and recommender systems is just beginning, armed with the knowledge and tools to explore new horizons.

Scoring to Picture in Logic Pro. Explore synchronization techniques for film, TV, and multimedia composers using Apple's flagship DAW

Prof. Chris Piorkowski, David K. Schmal, Luciano Saber, Michael M. Conti

This book will help you leverage the Logic Pro digital audio workstation (DAW) for scoring to picture. With the help of expert insights from a Hollywood film composer, you'll understand how the film music industry works and be ready to meet the demands of film directors or producers, exploring common scenarios and the process of post-production and final film score delivery. Packed with all the technical and practical skills needed when scoring to picture in Logic Pro, along with insights into real film scoring tasks, this book will prepare you for success in the industry.You’ll start by getting acquainted with film scoring terminology and then advance to working with QuickTime video and its components, getting an overview of how to set up and sync a movie file in Logic Pro. You’ll see the different methods of creating tempo maps, find a suitable tempo for a film scene using hit points and scene markers, and work with time signature and beat mapping functions. You’ll also work with a pre-composed score of a Mercedes commercial that you can analyze and emulate in your own Logic Pro session.By the end of this book, you’ll have gained new skills and the knowledge of commonly used industry scenarios to help you enter the professional market of scoring to picture.

Building AI Intensive Python Applications. Create intelligent apps with LLMs and vector databases

Rachelle Palmer, Ben Perlmutter, Ashwin Gangadhar, Nicholas Larew, ...

The era of generative AI is upon us, and this book serves as a roadmap to harness its full potential. With its help, you’ll learn the core components of the AI stack: large language models (LLMs), vector databases, and Python frameworks, and see how these technologies work together to create intelligent applications.The chapters will help you discover best practices for data preparation, model selection, and fine-tuning, and teach you advanced techniques such as retrieval-augmented generation (RAG) to overcome common challenges, such as hallucinations and data leakage. You’ll get a solid understanding of vector databases, implement effective vector search strategies, refine models for accuracy, and optimize performance to achieve impactful results. You’ll also identify and address AI failures to ensure your applications deliver reliable and valuable results. By evaluating and improving the output of LLMs, you’ll be able to enhance their performance and relevance.By the end of this book, you’ll be well-equipped to build sophisticated AI applications that deliver real-world value.