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Podcasts
Hafsa Asad, Vishwesh Ravi Shrimali, Nikhil Singh
Computer Vision (CV) has become an important aspect of AI technology. From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks. The Computer Vision Workshop will help you understand how computers master the art of processing digital images and videos to mimic human activities.Starting with an introduction to the OpenCV library, you'll learn how to write your first script using basic image processing operations. You'll then get to grips with essential image and video processing techniques such as histograms, contours, and face processing. As you progress, you'll become familiar with advanced computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D visualization. This CV course will enable you to experiment with camera calibration and explore both passive and active canonical 3D reconstruction methods.By the end of this book, you'll have developed the practical skills necessary for building powerful applications to solve computer vision problems.
Modular programming means dividing an application into small parts and then developing it. It is an approach taken by developers to build applications and helps them add efficiency in their development process, thus making it more effective.The book starts with the fundamentals of Modular Programming. Then we move on to the actual implementation, where we teach developers how to divide an application into different modules or layers (such as presentation, execution, security, lifecycle, services, and so on) for better management. Once readers are well-versed in these modules and their development, the book shows how to create bindings in order to join these different modules and form a complete application. Next, the readers will learn how to manage these modules through dependency injection.Later, we move on to testing; readers will learn how to test the different modules of an application. The book ends by teaching readers how to maintain different versions of their application and how to modify it. By the end of the book, readers will have a good understanding of modular programming and will be able to use it to build applications with Java.
Daniel Chapman, Chris Davenport
Setting up a basic Joomla! Web site is easy; what comes next is hard and expensive ñ making the site do exactly what and look exactly how you want. With this book in hand, it is easy to adapt your site to bring your vision fully to life.This book will help you to separate your site from the crowd of other Joomla! sites without having to invest in developers. It will guide you through how to customize different parts and aspects of your site and will also show you how to turn your site into a profitable business via these customizations. You will be able to build a successful, professional web site that will adapt to all your business needs.You will be taken beyond the basics of Joomla!, and given an insight into the techniques and tools used by the professionals to rapidly develop unique, custom sites. This will enable you to develop your own professional-quality Joomla! site without assistance, saving you time and money. You will learn how modules, plugins, components, and templates are constructed, and how to make changes in them, giving you the confidence to make more elaborate changes to your site. On top of this will be a look at common problems Joomla! site developers face and how best to deal with them.You will also learn techniques for building a business with Joomla!, as you step through building a subscription-based web business. Towards the end, you will look at marketing and monetizing this business fully to maximize your return.
Socket.IO is a JavaScript library that provides you with the ability to implement real-time analytics, binary streaming, instant messaging, and document collaboration. It has two parts: a client-side library that runs in the browser, and a server-side library for node.js. Socket.IO is event-driven and primarily uses the WebSocket protocol that allows us to emit data bi-directionally from the server and the client. Socket.IO This book is a complete resource, covering topics from webSocket security to scaling the server-side of a Socket.IO application and everything in between.This book will provide real-world examples of how secure bi-directional, full-duplex connections that can be created using Socket.IO for different environments. It will also explain how the connection vulnerabilities can be resolved for large numbers of users and huge amounts of data/messages.By the end of the book, you will be a competent Socket.IO developer. With the help of the examples and real-world solutions,you will learn to create fast, scalable, and dynamic real-time apps by creating efficient messaging systems between the server side and the client side using Socket.IO.
If you’re a software developer, this book will give you an introduction to cryptography, helping you understand how to make the most of it for your applications. The book contains extensive code samples in JavaScript, both for Node.js and for frontend apps running in a web browser, although the core concepts can be used by developers working with any programming language and framework.With a purely hands-on approach that is focused on sharing actionable knowledge, you’ll learn about the common categories of cryptographic operations that you can leverage in all apps you’re developing, including hashing, encryption with symmetric, asymmetric and hybrid ciphers, and digital signatures. You’ll learn when to use these operations and how to choose and implement the most popular algorithms to perform them, including SHA-2, Argon2, AES, ChaCha20-Poly1305, RSA, and Elliptic Curve Cryptography. Later, you’ll learn how to deal with password and key management. All code in this book is written in JavaScript and designed to run in Node.js or as part of frontend apps for web browsers.By the end of this book, you'll be able to build solutions that leverage cryptography to protect user privacy, offer better security against an expanding and more complex threat landscape, help meet data protection requirements, and unlock new opportunities.
Et al. Because not all research deserves a Nobel Prize
Tired of the same old math, science, statistics, and programming memes people post online and want something a little more elaborate? This is the book for you.Tremble as we make up all our own facts and data, hand-draw diagrams in MS Paint, and quote from fictional studies and journals. Cower as authors write in the first person because their study is just a little too personal for them. Recoil from the sheer mass of oversimplified methodology, distilling someone's entire thesis into a paragraph of jokes crude enough to make it into a Mike Myers movie.Over the last few years, we have taken arguments that you would normally have after four Jack and cokes at game night and turned them into properly formatted research papers with a writing tone serious enough to confuse the uninitiated. These papers are high-effort jokes by researchers and scientists for researchers and scientists. They cover a range of topics such as the consequences of re-releasing tourists back into Yellowstone National Park after COVID-19, how to play StarCraft competitively online on a quantum computer, and most importantly, how trees around the globe are becoming increasingly radicalized.
Artificial Intelligence Engines. A Tutorial Introduction to the Mathematics of Deep Learning
This book is a comprehensive guide to the mathematics behind artificial intelligence engines, taking readers from foundational concepts to advanced applications. It begins with an introduction to artificial neural networks, exploring topics like perceptrons, linear associative networks, and gradient descent. Practical examples accompany each chapter, making complex mathematical principles accessible, even for those with limited prior knowledge.The book's detailed structure covers key algorithms like backpropagation, Hopfield networks, and Boltzmann machines, advancing to deep restricted Boltzmann machines, variational autoencoders, and convolutional neural networks. Modern topics such as generative adversarial networks, reinforcement learning, and capsule networks are explored in depth. Each section connects theory to real-world AI applications, helping readers understand how these techniques are used in practice.Ideal for students, researchers, and AI enthusiasts, the book balances theoretical depth with practical insights. Basic mathematical knowledge or foundation is recommended, allowing readers to fully engage with the content. This book serves as an accessible yet thorough resource for anyone eager to dive deeper into artificial intelligence and machine learning.
Akash Mukherjee, Jason D. Clinton
In an era of relentless cyber threats, organizations face daunting challenges in fortifying their defenses against increasingly sophisticated attacks. The Complete Guide to Defense in Depth offers a comprehensive roadmap to navigating the complex landscape, empowering you to master the art of layered security.This book starts by laying the groundwork, delving into risk navigation, asset classification, and threat identification, helping you establish a robust framework for layered security. It gradually transforms you into an adept strategist, providing insights into the attacker's mindset, revealing vulnerabilities from an adversarial perspective, and guiding the creation of a proactive defense strategy through meticulous mapping of attack vectors. Toward the end, the book addresses the ever-evolving threat landscape, exploring emerging dangers and emphasizing the crucial human factor in security awareness and training. This book also illustrates how Defense in Depth serves as a dynamic, adaptable approach to cybersecurity.By the end of this book, you’ll have gained a profound understanding of the significance of multi-layered defense strategies, explored frameworks for building robust security programs, and developed the ability to navigate the evolving threat landscape with resilience and agility.
With the rising need for agile development and very short time-to-market system deployments, incorporating machine learning algorithms into decoupled fine-grained microservices systems provides the perfect technology mix for modern systems. Machine Learning in Microservices is your essential guide to staying ahead of the curve in this ever-evolving world of technology.The book starts by introducing you to the concept of machine learning microservices architecture (MSA) and comparing MSA with service-based and event-driven architectures, along with how to transition into MSA. Next, you’ll learn about the different approaches to building MSA and find out how to overcome common practical challenges faced in MSA design. As you advance, you’ll get to grips with machine learning (ML) concepts and see how they can help better design and run MSA systems. Finally, the book will take you through practical examples and open source applications that will help you build and run highly efficient, agile microservices systems.By the end of this microservices book, you’ll have a clear idea of different models of microservices architecture and machine learning and be able to combine both technologies to deliver a flexible and highly scalable enterprise system.
Dancing with Python. Learn to code with Python and Quantum Computing
Dancing with Python helps you learn Python and quantum computing in a practical way. It will help you explore how to work with numbers, strings, collections, iterators, and files.The book goes beyond functions and classes and teaches you to use Python and Qiskit to create gates and circuits for classical and quantum computing. Learn how quantum extends traditional techniques using the Grover Search Algorithm and the code that implements it. Dive into some advanced and widely used applications of Python and revisit strings with more sophisticated tools, such as regular expressions and basic natural language processing (NLP). The final chapters introduce you to data analysis, visualizations, and supervised and unsupervised machine learning.By the end of the book, you will be proficient in programming the latest and most powerful quantum computers, the Pythonic way.
Generative Deep Learning with Python. Unleashing the Creative Power of AI by Mastering AI and Python
Generative Deep Learning with Python opens the door to the fascinating world of AI where machines create. This course begins with an introduction to deep learning, establishing the essential concepts and techniques. You will then delve into generative models, exploring their theoretical foundations and practical applications. As you progress, you will gain a deep understanding of Generative Adversarial Networks (GANs), learning how they function and how to implement them for tasks like face generation.The course's hands-on projects, such as creating GANs for face generation and using Variational Autoencoders (VAEs) for handwritten digit generation, provide practical experience that reinforces your learning. You'll also explore autoregressive models for text generation, allowing you to see the versatility of generative models across different types of data. Advanced topics will prepare you for cutting-edge developments in the field.Throughout your journey, you will gain insights into the future landscape of generative deep learning, equipping you with the skills to innovate and lead in this rapidly evolving field. By the end of the course, you will have a solid foundation in generative deep learning and be ready to apply these techniques to real-world challenges, driving advancements in AI and machine learning.
Highsoft Solutions AS, Joe Kuan
Highcharts is a popular web charting software that produces stunning and smooth animated JavaScript and HTML5 SVG graphs. It is among the leading web charting software in the market and has been used in many different sectors ó from financial to social websites. Although it is built on top of jQuery, it is so simple to construct that you need little programming skill to create a simple web chart. Highcharts works on all modern browsers and is solely based on native browser technologies and doesn't require client side plugins like Flash or Java.Learning Highcharts is a comprehensive tutorial with clear and practical examples. This book follows a step by step approach towards making artistic, presentable, or professional style charts and other types of charts that you won't find elsewhere. It also shows you how to integrate Highcharts with other popular frameworks, such as jQuery, jQuery Mobile, and ExtJS and even how to run it on the server side.The book starts off with an introduction to Highcharts and demonstrates usage of its rich set of options. This is followed by an introduction to each type of basic chart, beginning with simple illustrations and ending with more artistic and productive additions to the charts. The book then guides you how to use the Highcharts API and events handling which are important to build interactive applications. It then goes on to show you how to apply Highcharts onto a popular AJAX Framework or even jQuery, jQuery Mobile and Ext JS. Finally the book shows readers how to set up Highcharts running on server side. Learning Highcharts aims to teach you everything you need to know about Highcharts, and take the advanced leap from Flash to JavaScript, with this extremely productive and effective Charting software available, thus helping you build basic charts and even multiple series and axes charts. The book also shows you the flexibility of Highcharts and how to create other special charts. The programming side of APIs and event handling will benefit the readers in building advanced web applications with Highcharts. The book also guides readers on how to integrate Highcharts with popular frameworks such as jQuery Mobile and Ext JS. By the end of the book, you should be able to use Highcharts to suit your web page or application needs.
Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. With this book, you'll be guided through comprehensive recipes on what's new in Elasticsearch 7, and see how to create and run complex queries and analytics.Packed with recipes on performing index mapping, aggregation, and scripting using Elasticsearch, this fourth edition of Elasticsearch Cookbook will get you acquainted with numerous solutions and quick techniques for performing both every day and uncommon tasks such as deploying Elasticsearch nodes, integrating other tools to Elasticsearch, and creating different visualizations. You will install Kibana to monitor a cluster and also extend it using a variety of plugins. Finally, you will integrate your Java, Scala, Python, and big data applications such as Apache Spark and Pig with Elasticsearch, and create efficient data applications powered by enhanced functionalities and custom plugins.By the end of this book, you will have gained in-depth knowledge of implementing Elasticsearch architecture, and you'll be able to manage, search, and store data efficiently and effectively using Elasticsearch.
Do you want to transform data into captivating images? Do you want to make it easy for your audience to process and understand the patterns, trends, and relationships hidden within your data?The Data Visualization Workshop will guide you through the world of data visualization and help you to unlock simple secrets for transforming data into meaningful visuals with the help of exciting exercises and activities.Starting with an introduction to data visualization, this book shows you how to first prepare raw data for visualization using NumPy and pandas operations. As you progress, you’ll use plotting techniques, such as comparison and distribution, to identify relationships and similarities between datasets. You’ll then work through practical exercises to simplify the process of creating visualizations using Python plotting libraries such as Matplotlib and Seaborn. If you’ve ever wondered how popular companies like Uber and Airbnb use geoplotlib for geographical visualizations, this book has got you covered, helping you analyze and understand the process effectively. Finally, you’ll use the Bokeh library to create dynamic visualizations that can be integrated into any web page.By the end of this workshop, you’ll have learned how to present engaging mission-critical insights by creating impactful visualizations with real-world data.
Pierre-Yves BONNEFOY, Emeric CHAIZE, Raphaël MANSUY, Mehdi TAZI, ...
The Definitive Guide to Data Integration is an indispensable resource for navigating the complexities of modern data integration. Focusing on the latest tools, techniques, and best practices, this guide helps you master data integration and unleash the full potential of your data.This comprehensive guide begins by examining the challenges and key concepts of data integration, such as managing huge volumes of data and dealing with the different data types. You’ll gain a deep understanding of the modern data stack and its architecture, as well as the pivotal role of open-source technologies in shaping the data landscape. Delving into the layers of the modern data stack, you’ll cover data sources, types, storage, integration techniques, transformation, and processing. The book also offers insights into data exposition and APIs, ingestion and storage strategies, data preparation and analysis, workflow management, monitoring, data quality, and governance. Packed with practical use cases, real-world examples, and a glimpse into the future of data integration, The Definitive Guide to Data Integration is an essential resource for data eclectics.By the end of this book, you’ll have the gained the knowledge and skills needed to optimize your data usage and excel in the ever-evolving world of data.
Hugo Di Francesco, Siyuan Gao, Vinicius Isola, Philip Kirkbride
In depth knowledge of JavaScript makes it easier to learn a variety of other frameworks, including React, Angular, and related tools and libraries. This book is designed to help you cover the core JavaScript concepts you need to build modern applications.You'll start by learning how to represent an HTML document in the Document Object Model (DOM). Then, you'll combine your knowledge of the DOM and Node.js to create a web scraper for practical situations. As you read through further lessons, you'll create a Node.js-based RESTful API using the Express library for Node.js. You'll also understand how modular designs can be used for better reusability and collaboration with multiple developers on a single project. Later lessons will guide you through building unit tests, which ensure that the core functionality of your program is not affected over time. The book will also demonstrate how constructors, async/await, and events can load your applications quickly and efficiently. Finally, you'll gain useful insights into functional programming concepts such as immutability, pure functions, and higher-order functions.By the end of this book, you'll have the skills you need to tackle any real-world JavaScript development problem using a modern JavaScript approach, both for the client and server sides.
Wireframes, interactive prototypes, and UX specifications are among the fundamental deliverables of every UX project. They are also the most labor and time intensive to produce due to constant changes in business requirements. Given these circumstances, Axure is quickly taking over as the preferred tool for prototyping. However, prototyping in Axure is strikingly different from the conventional method of producing static wireframes and to rapidly develop interactive prototypes in Axure, you'll need to have a good understanding of the tool and its features.Whether you are an individual practitioner or a member of a UX team, a consultant, or an employee, this book will teach you how to use Axure, one of the leading UX tools. You will learn to use Axure for producing top-quality deliverables and tackling the demands of rapid iterative UX projects of any complexity and size, and for any platform and device.Axure RP 6 Prototyping Essentials takes a very pragmatic approach to showing you how to use Axure and produce impressive deliverables while saving labor and time. You may not be in a position to change how projects are scheduled, budgeted, and managed, but you can be more creative and productive by mastering one of the leading UX tools in the market.After an initial introduction to Axure's user interface, terminology, and features, this book walks you through a medium-size UX project: a digital library that sells books, newspapers, and movies. Although some aspects of the prototyping process are simplified for the sake of clarity and efficiency, the demo project is an opportunity to discuss in context and in sequence topics such as addressing business and technical requirements, handling use cases and flow diagrams, low and high fidelity wireframe construction, interactivity, writing annotations, generating detailed UX specifications, and traceability.For the most part, Axure 6 RP Prototyping Essentials can be read in sequence or used as a reference guide.
With an increase in the number of organizations deploying RPA solutions, Robotic Process Automation (RPA) is quickly becoming the most desired skill set for both developers starting their career and seasoned professionals. This book will show you how to use Automation Anywhere A2019, one of the leading platforms used widely for RPA.Starting with an introduction to RPA and Automation Anywhere, the book will guide you through the registration, installation, and configuration of the Bot agent and Control Room. With the help of easy-to-follow instructions, you’ll build your first bot and discover how you can automate tasks with Excel, Word, emails, XML, and PDF files. You’ll learn from practical examples based on real-world business scenarios, and gain insights into building more robust and resilient bots, executing external scripts such as VBScripts and Python, and adding error handling routines.By the end of this RPA book, you’ll have developed the skills required to install and configure an RPA platform confidently and have a solid understanding of how to build complex and robust, yet performant, bots.
Data professionals encounter a multitude of challenges such as handling large volumes of data, dealing with data silos, and the lack of appropriate tools. Datasets often arrive in different conditions and formats, demanding considerable time from analysts, engineers, and scientists to process and uncover insights. The complexity of the data life cycle often hinders teams and organizations from extracting the desired value from their data assets. Data Exploration and Preparation with BigQuery offers a holistic solution to these challenges.The book begins with the basics of BigQuery while covering the fundamentals of data exploration and preparation. It then progresses to demonstrate how to use BigQuery for these tasks and explores the array of big data tools at your disposal within the Google Cloud ecosystem.The book doesn’t merely offer theoretical insights; it’s a hands-on companion that walks you through properly structuring your tables for query efficiency and ensures adherence to data preparation best practices. You’ll also learn when to use Dataflow, BigQuery, and Dataprep for ETL and ELT workflows. The book will skillfully guide you through various case studies, demonstrating how BigQuery can be used to solve real-world data problems.By the end of this book, you’ll have mastered the use of SQL to explore and prepare datasets in BigQuery, unlocking deeper insights from data.
K?É!(C)vin Dunglas, Kevin Dunglas
Doctrine 2 has become the most popular modern persistence system for PHP. It can either be used as a standalone system or can be distributed with Symfony 2, and it also integrates very well with popular frameworks. It allows you to easily retrieve PHP object graphs, provides a powerful object-oriented query language called DQL, a database schema generator tool, and supports database migration. It is efficient, abstracts popular DBMS, and supports PHP 5.3 features.Doctrine is a must-have for modern PHP applications.Persistence in PHP with Doctrine ORM is a practical, hands-on guide that describes the full creation process of a web application powered by Doctrine. Core features of the ORM are explained in depth and illustrated by useful, explicit, and reusable code samples.Persistence in PHP with Doctrine ORM explains everything you need to know to get started with Doctrine in a clear and detailed manner.From installing the ORM through Composer to mastering advanced features such as native queries, this book is a full overview of the power of Doctrine. You will also learn a bunch of mapping annotations, create associations, and generate database schemas from PHP classes. You will also see how to write data fixtures, create custom entity repositories, and issue advanced DQL queries. Finally it will teach you to play with inheritance, write native queries, and use built-in lifecycle events. If you want to use a powerful persistence system for your PHP application, Persistence in PHP with Doctrine ORM is the book you.
Marleen Meier, David Baldwin, Kate Strachnyi
Tableau is one of the leading business intelligence (BI) tools that can help you solve data analysis challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain.Updated with fresh topics including Quick Level of Detail expressions, the newest Tableau Server features, Einstein Discovery, and more, this book covers essential Tableau concepts and advanced functionalities. Leveraging Tableau Hyper files and using Prep Builder, you’ll be able to perform data preparation and handling easily. You’ll gear up to perform complex joins, spatial joins, unions, and data blending tasks using practical examples. Next, you’ll learn how to execute data densification and further explore expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. You’ll also learn about improving dashboard performance, connecting to Tableau Server and understanding data visualization with examples. Finally, you'll cover advanced use cases such as self-service analysis, time series analysis, and geo-spatial analysis, and connect Tableau to Python and R to implement programming functionalities within it.By the end of this Tableau book, you’ll have mastered the advanced offerings of Tableau 2021 and be able to tackle common and advanced challenges in the BI domain.