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AI-Powered Developer - Nathan B. Crocker - Bog - Manning Publications - Plusbog.dk

Use groundbreaking generative AI tools to increase your productivity, efficiency, and code quality. You just got a promotion! AI coding tools like GitHub Copilot, ChatGPT, and Amazon CodeWhisperer turn every developer into an engineering manager, overseeing a super-smart and super-fast junior coder.In AI-Powered Developer you''ll discover how to get the most out of your new assistant: - - Harness AI to help you design and plan software - - Use AI for code generation, debugging, and documentation - - Improve your code quality assessments with the help of AI - - Articulate complex problems to prompt an AI solution - - Develop a continuous learning mindset that keeps you up to date - - Adapt your development skills to almost any language - AI-Powered Developer demonstrates effective techniques and best practices for getting the most out of AI-powered coding using tools like Copilot and ChatGPT. The book cuts through the hype, showcasing real-world examples of how these tools ease and enhance your everyday tasks. You''ll soon be using AI for everything from writing boilerplate to assisting with software design.

DKK 465.00

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AI-Powered Wordpress - Richard Mansfield - Bog - Manning Publications - Plusbog.dk

Create stunning and effective WordPress websites with easy-to-use AI tools—no code required! Whether starting from scratch or improving an existing site, AI-Powered WordPress gives you the skills to create professional sites powered by the limitless potential of artificial intelligence. You''ll learn to use AI for your content and visuals, and even help you build your own WordPress plugins and widgets.Inside AI-Powered WordPress you''ll discover hands-on ways to: - - Utilize AI to build new WordPress sites or improve existing ones - - Understand how AI enhances all aspects of site content and design - - Become an expert prompt engineer for communicating with AI - - Generate HTML, CSS, plugins, and widgets with AI - - Optimize multimedia, blogging, monetization, SEO, and more - WordPress is the most popular tool for building websites today—and with the power of generative AI tools like ChatGPT, working with WordPress just got much easier! Now it''s a breeze to enhance your site with amazing visuals, impressive and on-target content, and get your new AI assistant to generate CSS code to fine tune your site''s design. Plus, this all-practical guide is full of important information about the tasks AI still can''t do for you, from picking the right hosting service, to defining your site''s goals.

DKK 485.00

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Graph-Powered Machine Learning - Alessandro Negro - Bog - Manning Publications - Plusbog.dk

At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations among terms so you can make accurate search recommendations or locating individuals within a social network who have similar interests, are naturally expressed as graphs. Graph-Powered Machine Learning introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. You’ll get an in-depth look at techniques including data source modeling, algorithm design, link analysis, classification, and clustering. As you master the core concepts, you’ll explore three end-to-end projects that illustrate architectures, best design practices, optimization approaches, and common pitfalls. Key Features · The lifecycle of a machine learning project · Three end-to-end applications · Graphs in big data platforms · Data source modeling · Natural language processing, recommendations, and relevant search · Optimization methods Readers comfortable with machine learning basics. About the technology By organizing and analyzing your data as graphs, your applications work more fluidly with graph-centric algorithms like nearest neighbor or page rank where it’s important to quickly identify and exploit relevant relationships. Modern graph data stores, like Neo4j or Amazon Neptune, are readily available tools that support graph-powered machine learning. Alessandro Negro is a Chief Scientist at GraphAware. With extensive experience in software development, software architecture, and data management, he has been a speaker at many conferences, such as Java One, Oracle Open World, and Graph Connect. He holds a Ph.D. in Computer Science and has authored several publications on graph-based machine learning.

DKK 476.00

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AI-Powered Search - Max Irwin - Bog - Manning Publications - Plusbog.dk

Learn everything about the latest machine learning techniques and create search engines that drive more domain-aware and intelligent search. AI-Powered Search teaches you the latest machine-learning techniques to create search engines that continuously learn from your users and your content. Written by Trey Grainger, the Chief Algorithms Officer at Lucidworks, this authoritative book empowers you to create and deploy search engines that take advantage of user interactions and hidden semantic relationships. This book is ideal for software developers or data scientists familiar with the basics of search engine development. It will show you ways to create content that will constantly get smarter and automatically deliver better, more relevant search experiences. What''s inside - - Reflected intelligence to continually learn and improve search relevancy - - Natural language search with automatically-learned knowledge graphs - - Semantic search, with domain-specific terms, phrases, concepts, and relationships - - Personalised search, utilising user behavioural signals and learned user profiles - - Automated Learning to Rank (machine-learned ranking) from user signals - - Word embeddings, vector search, question answering, image and voice search, and other modern search paradigms - About the technology The search box has become the "de facto" user interface for modern data-driven applications. Users expect the software to fully understand their search inputs, context, and activity and return the right answers, every time. Fortunately, you no longer need a massive team manually adjusting relevancy parameters to deliver optimal search results. Using the power of AI, you can develop search solutions that dynamically learn from your content and users, constantly getting smarter and delivering better answers.

DKK 511.00

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AI Agents in Action - Micheal Lanham - Bog - Manning Publications - Plusbog.dk

Create LLM-powered autonomous agents and intelligent assistants that can adapt to your specific business and personal needs. Each job you take on or decision you make requires some of your precious time. AI Agents in Action teaches you to develop and deliver LLM-based assistants and agents that can independently process information, make decisions, and learn from interactions. These powerful autonomous AI agents and interactive assistants handle routine tasks behind the scenes so you can focus on other things.In AI Agents in Action , author Micheal Lanham combines cutting-edge academic research with practical experience to help you: - - Understand AI agent behavior patterns - - Design and deploy intelligent agents - - Use the OpenAI Assistants API and other tools - - Manage knowledge and memory - - Build in feedback loops so agents learn from their actions - - Design collaborative multi-agent systems - - Create agents with speech and vision features - From script-free customer service chatbots to fully independent agents operating out of sight, AI-powered assistants are a groundbreaking advance in machine intelligence. In AI Agents in Action you''ll learn a reliable, tested framework for developing working agents for a variety of practical business and personal tasks.

DKK 572.00

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LLMs in Action - Immanuel Trummer - Bog - Manning Publications - Plusbog.dk

Speed up common data science tasks with AI assistants like ChatGPT and Large Language Models (LLMs) from Anthropic, Cohere, AI21, Hugging Face, and more! Using ChatGPT and other AI-powered tools, you can analyze almost any kind of data with just a few short lines of plain English. In LLMs in Action , you''ll learn important techniques for streamlining your data science practice, expanding your skillset and saving you hours—or even days—of time.Inside, you''ll learn how to use AI assistants to: - - Analyze text, tables, images, and audio files - - Extract information from multi-modal data lakes - - Classify, cluster, transform, and query multimodal data - - Build natural language query interfaces over structured data sources - - Use LangChain to build complex data analysis pipelines - - Prompt engineering and model configuration - This practical book takes you from your first prompts through advanced techniques like building automated analysis pipelines and fine-tuning existing models. You''ll learn how to create meaningful reports, generate informative graphs, and much more.

DKK 419.00

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Linux in Action - David Clinton - Bog - Manning Publications - Plusbog.dk

Description The Linux operating system powers millions of web servers, data centers, and application platforms worldwide. Whether you''re pushing applications to a cloud system like AWS, building a twitter bot on a Raspberry Pi, or rescuing files from a crashed laptop, Linux is required knowledge. Linux in Action is a task-based tutorial that will give readers the skills and deep understanding they''ll need to administer a Linux-based system. Key features · Hands-on guide · Step-by-step examples · Task-based Audience Readers should be comfortable working with the files, networks, and basic resources of a modern operating system. About the technology Linux makes it possible to do all kinds of really useful and creative things. For instance, you can load a Linux "live boot" image on a USB stick, boot a PC whose own hard disk has been corrupted, and troubleshoot and fix the problem.

DKK 246.00

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gRPC Microservices in Go - Huseyin Babal - Bog - Manning Publications - Plusbog.dk

Learn how to build fast and secure gRPC-based microservices using the powerful Go programming language. Ideal for software developers who know the basics of Go. gRPC Microservices in Go shows you howto combine the powerful gRPC Remote Procedure Call framework with Golang''s low-level efficiency and flexibility. You will learn how to develop microservice inter-service communication patterns powered by gRPC, design backwards compatible APIs, and apply hexagonal architecture to microservices. Key features: - - Designing and implementing a resilient microservice architecture - - Testing microservices - - Deploying microservices to the cloud with modern orchestration tools - - Monitoring and overseeing microservices - The powerful gRPC Remote Procedure Call framework delivers superior speed and security over protocols like REST. When paired with Golang''s low-level efficiency and flexibility, gRPC and Go become a killer combination for latency-sensitive microservices applications. gRPC Microservices in Go shows you how to utilise these powerful tools to build production-grade microservices. About the technology Initially developed by Google, gRPC is a high-performance messaging protocol that is extraordinarily well-suited for microservices applications. This open-source framework helps you elegantly and reliably deliver messages securely within a microservices architecture. Its seamless integration with infrastructure for load balancing, tracing, fault tolerance, and security helps you effortlessly solve many of the common challenges of microservices. gRPC''s server and client stubs let your project call remote service methods and define the business logic behind them. Combined with Go''s fast compilation and execution speed, it''s the perfect solution for building large-scale microservices architectures.

DKK 430.00

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Tiny C Projects - Dan Gookin - Bog - Manning Publications - Plusbog.dk

Learn the big skills of C programming by creating bite-size projects! Work your way through these 21 fun and interesting tiny challenges to master essential C techniques you''ll use in full-size applications. In Tiny C Projects you will learn how to: - - Create libraries of functions for handy use and re-use - - Process input through an I/O filter to generate customized output - - Use recursion to explore a directory tree and find duplicate files - - Develop AI for playing simple games - - Explore programming capabilities beyond the standard C library functions - - Evaluate and grow the potential of your programs - - Improve code to better serve users - Tiny C Projects is an engaging collection of 21 small programming challenges! Hone and develop your C abilities with light hearted games like Hunt the Wumpus and tic-tac-toe, utilities like a useful calendar and a mini-editor app, and thought-provoking exercises like encoding and cyphers. Every project encourages you to evolve your code, add new functions, and explore the full capabilities of C.

DKK 444.00

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Graph Databases in Action - Dan Bechberger - Bog - Manning Publications - Plusbog.dk

Graph Databases in Action teaches readers everything they need to know to begin building and running applications powered by graph databases. Right off the bat, seasoned graph database experts introduce readers to just enough graph theory, the graph database ecosystem, and a variety of datastores. They also explore modelling basics in action with real-world examples, then go hands-on with querying, coding traversals, parsing results, and other essential tasks as readers build their own graph-backed social network app complete with a recommendation engine! Key Features · Graph database fundamentals · An overview of the graph database ecosystem · Relational vs. graph database modelling · Querying graphs using Gremlin · Real-world common graph use cases For readers with basic Java and application development skills building in RDBMS systems such as Oracle, SQL Server, MySQL, and Postgres. No experience with graph databases is required. About the technology Graph databases store interconnected data in a more natural form, making them superior tools for representing data with rich relationships. Unlike in relational database management systems (RDBMS), where a more rigid view of data connections results in the loss of valuable insights, in graph databases, data connections are first priority. Dave Bechberger has extensive experience using graph databases as a product architect and a consultant. He’s spent his career leveraging cutting-edge technologies to build software in complex data domains such as bioinformatics, oil and gas, and supply chain management. He’s an active member of the graph community and has presented on a wide variety of graph-related topics at national and international conferences. Josh Perryman is technologist with over two decades of diverse experience building and maintaining complex systems, including high performance computing (HPC) environments. Since 2014 he has focused on graph databases, especially in distributed or big data environments, and he regularly blogs and speaks at conferences about graph databases.

DKK 382.00

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Self-Sovereign Identity: Decentralized digital identity and verifiable credentials - Alex Preukschat - Bog - Manning Publications - Plusbog.dk

"This book is a comprehensive roadmap to the most crucial fix for today''s broken Internet." - Brian Behlendorf, GM for Blockchain, Healthcare and Identity at the Linux Foundation In a world of changing privacy regulations, identity theft, and online anonymity, identity is a precious and complex concept. Self-Sovereign Identity (SSI) is a set of technologies that move control of digital identity from third party “identity providers”directly to individuals, and it promises to be one of the most important trendsfor the coming decades. Now in Self-Sovereign Identity, privacy and personal data experts Drummond Reed and Alex Preukschat lay out a roadmap for a futureof personal sovereignty powered by the Blockchain and cryptography. Cutting through the technical jargon with dozens of practical use cases from experts across all major industries, it presents a clear and compelling argument for why SSI is a paradigm shift, and shows how you can be ready to be prepared forit. about the technology Trust onthe internet is at an all-time low. Large corporations and institutions control our personal data because we''ve never had a simple, safe, strong way to prove who we are online. Self-sovereign identity (SSI) changes all that. about the book In Self-Sovereign Identity: Decentralized digital identity and verifiable credentials, you''ll learn how SSI empowers us to receive digitally-signed credentials, store them in private wallets, and securely prove our online identities. It combines a clear, jargon-free introduction to this blockchain-inspired paradigm shift with interesting essays written by its leading practitioners. Whether for property transfer, ebanking, frictionless travel, or personalized services, the SSI model for digital trust will reshape our collective future. what''s inside · The architecture of SSI software and services · The technical, legal, and governance concepts behind SSI · How SSI affects global business industry-by-industry · Emerging standards for SSI about the reader For technology and business readers. No prior SSI, cryptography, or blockchain experience required. aboutthe author Drummond Reed is the Chief Trust Officer at Evernym, a technology leader in SSI. Alex Preukschat is the co-founder of SSIMeetup.org and AlianzaBlockchain.org.

DKK 462.00

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Real-World Cryptography - David Wong - Bog - Manning Publications - Plusbog.dk

If you’re browsing the web, using public APIs, making and receiving electronic payments, registering and logging in users, or experimenting with blockchain, you’re relying on cryptography. And you’re probably trusting a collection of tools, frameworks, and protocols to keep your data, users, and business safe. It’s important to understand these tools so you can make the best decisions about how, where, and why to use them. Real-World Cryptography teaches you applied cryptographic techniques to understand and apply security at every level of your systems and applications. about the technology Cryptography is the foundation of information security. This simultaneously ancient and emerging science is based on encryption and secure communication using algorithms that are hard to crack even for high-powered computer systems. Cryptography protects privacy, secures online activity, and defends confidential information, such as credit cards, from attackers and thieves. Without cryptographic techniques allowing for easy encrypting and decrypting of data, almost all IT infrastructure would be vulnerable. about the book Real-World Cryptography helps you understand the cryptographic techniques at work in common tools, frameworks, and protocols so you can make excellent security choices for your systems and applications. There’s no unnecessary theory or jargon—just the most up-to-date techniques you’ll need in your day-to-day work as a developer or systems administrator. Cryptography expert David Wong takes you hands-on with cryptography building blocks such as hash functions and key exchanges, then shows you how to use them as part of your security protocols and applications. Alongside modern methods, the book also anticipates the future of cryptography, diving into emerging and cutting-edge advances such as cryptocurrencies, password-authenticated key exchange, and post-quantum cryptography. Throughout, all techniques are fully illustrated with diagrams and real-world use cases so you can easily see how to put them into practice. what''s inside - - Best practices for using cryptography - - Diagrams and explanations of cryptographic algorithms - - Identifying and fixing cryptography bad practices in applications - - Picking the right cryptographic tool to solve problems - about the reader For cryptography beginners with no previous experience in the field. about the author David Wong is a senior engineer working on Blockchain at Facebook. He is an active contributor to internet standards like Transport Layer Security and to the applied cryptography research community. David is a recognized authority in the field of applied cryptography; he’s spoken at large security conferences like Black Hat and DEF CON and has delivered cryptography training sessions in the industry.

DKK 448.00

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Math for Programmers - Paul Orland - Bog - Manning Publications - Plusbog.dk

To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest programming fields. Key Features · 2D and 3D vector math · Matrices and linear transformations · Core concepts from linear algebra · Calculus with one or more variables · Algorithms for regression, classification, and clustering · Interesting real-world examples Written for programmers with solid algebra skills (even if they need some dusting off). No formal coursework in linear algebra or calculus is required. About the technology Most businesses realize they need to apply data science and effective machine learning to gain and maintain a competitive edge. To build these applications, they need developers comfortable writing code and using tools steeped in statistics, linear algebra, and calculus. Math also plays an integral role in other modern applications like game development, computer graphics and animation, image and signal processing, pricing engines, and stock market analysis. Paul Orland is CEO of Tachyus, a Silicon Valley startup building predictive analytics software to optimize energy production in the oil and gas industry. As founding CTO, he led the engineering team to productize hybrid machine learning and physics models, distributed optimization algorithms, and custom web-based data visualizations. He has a B.S. in mathematics from Yale University and a M.S. in physics from the University of Washington.

DKK 468.00

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Grokking Machine Learning - Luis Serrano - Bog - Manning Publications - Plusbog.dk

It''s time to dispel the myth that machine learning is difficult. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using readily available machine learning tools! In Grokking Machine Learning , expert machine learning engineer Luis Serrano introduces the most valuable ML techniques and teaches you how to make them work for you. Practical examples illustrate each new concept to ensure you’re grokking as you go. You’ll build models for spam detection, language analysis, and image recognition as you lock in each carefully-selected skill. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. Key Features · Different types of machine learning, including supervised and unsupervised learning · Algorithms for simplifying, classifying, and splitting data · Machine learning packages and tools · Hands-on exercises with fully-explained Python code samples For readers with intermediate programming knowledge in Python or a similar language. About the technology Machine learning is a collection of mathematically-based techniques and algorithms that enable computers to identify patterns and generate predictions from data. This revolutionary data analysis approach is behind everything from recommendation systems to self-driving cars, and is transforming industries from finance to art. Luis G. Serrano has worked as the Head of Content for Artificial Intelligence at Udacity and as a Machine Learning Engineer at Google, where he worked on the YouTube recommendations system. He holds a PhD in mathematics from the University of Michigan, a Bachelor and Masters from the University of Waterloo, and worked as a postdoctoral researcher at the University of Quebec at Montreal. He shares his machine learning expertise on a YouTube channel with over 2 million views and 35 thousand subscribers, and is a frequent speaker at artificial intelligence and data science conferences.

DKK 468.00

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Learn Go with Pocket-Sized Projects - Alienor Latour - Bog - Manning Publications - Plusbog.dk

Pocket-size projects, modular and versatile skills! Take your Go programming capabilities to the next level with 11 engaging applications. Learn Go with Pocket-Sized Projects teaches some of the most important skills of Go programming—including Go’s unique idiomatic syntax—all through building fun and useful apps and games. Each project is fully working, simple to write, and easy to scale-up to full-size Go applications. In Learn Go with Pocket-Sized Projects you’ll build: • A Wordle-alike game • A currency converter application • A habit-tracking application • A book digest application • A maze-solving algorithm • A microcontroller-based traffic lights program • …and more! Each small, self-contained project in Learn Go with Pocket-Sized Projects introduces important practical skills, including ensuring that your code is thoroughly tested and documented! You’ll make architectural decisions for your projects and organize your code in a maintainable way. Work your way through, and you’ll be able to utilize Go for everything from server-side applications to low-level systems programming. Foreword by Ron Evans . Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology There’s no more satisfying way to learn a programming language than by building your own projects! Whether you’re coming from another language or taking your next steps in Go, these eleven projects will get you working hands on faster than you can type “Bonjour le monde.” About the book Learn Go with Pocket-Sized Projects introduces the most important features, concepts and techniques of the Go programming language. You’ll learn hands on as you build fun mini projects including a Wordle clone you can run as a web service and a maze solver that uses goroutines. Along the way, you’ll explore a wide range of topics, including Go’s unique approach to interfaces, concurrency, REST and gRPC microservice APIs, and more. What''s inside • Concurrency with goroutines • A habit tracker using gRPC and HTML templates • Deploying a secure web service • A microcontroller-based traffic lights program using TinyGo About the reader For beginners with Go or another programming language. About the author Aliénor Latour , Donia Chaiehloudj , and Pascal Bertrand are experienced developers with a passion for Go and excellence in programming. Table of Contents 1 MeetGo 2 Hello, earth! Extend your hello, world 3 A bookworm’s digest: Playing with loops and maps 4 A log story: Creating a library 5 Gordle: Play a word game in your terminal 6 Money converter: CLI around an HTTP call 7 Caching with generics 8 Gordle as a service 9 Concurrent maze solver 10 Habits tracker using gRPC 11 HTML templating with a gRPC client 12 Go for other architectures Appendixes A Installation steps B Formatting cheat sheet C Zero values D Benchmarking E Passing by value or by reference F Fuzzing G Connecting to a database

DKK 678.00

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AI-Powered Developer - Nathan B. Crocker - Bog - Manning Publications - Plusbog.dk

AI-Powered Wordpress - Richard Mansfield - Bog - Manning Publications - Plusbog.dk

Graph-Powered Machine Learning - Alessandro Negro - Bog - Manning Publications - Plusbog.dk

AI-Powered Search - Max Irwin - Bog - Manning Publications - Plusbog.dk

AI Agents in Action - Micheal Lanham - Bog - Manning Publications - Plusbog.dk

LLMs in Action - Immanuel Trummer - Bog - Manning Publications - Plusbog.dk

Linux in Action - David Clinton - Bog - Manning Publications - Plusbog.dk

gRPC Microservices in Go - Huseyin Babal - Bog - Manning Publications - Plusbog.dk

Tiny C Projects - Dan Gookin - Bog - Manning Publications - Plusbog.dk

Graph Databases in Action - Dan Bechberger - Bog - Manning Publications - Plusbog.dk

Self-Sovereign Identity: Decentralized digital identity and verifiable credentials - Alex Preukschat - Bog - Manning Publications - Plusbog.dk

Real-World Cryptography - David Wong - Bog - Manning Publications - Plusbog.dk

Math for Programmers - Paul Orland - Bog - Manning Publications - Plusbog.dk

Grokking Machine Learning - Luis Serrano - Bog - Manning Publications - Plusbog.dk

Learn Go with Pocket-Sized Projects - Alienor Latour - Bog - Manning Publications - Plusbog.dk

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