manning publications aug 2025 (4 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware - Discover how to decipher the most important job interview questions so you can tell your interviewer what they really want to know.Interview Speak shows you how to ace job interviews by answering the questions behind the questions. Written for job seekers in any field, Interview Speak shows you how to draw on your own unique skillset and deliver answers that will make you stand out. In Interview Speak you'll learn how to: Break down questions from the interviewer's point of view Anticipate potential questions from a job description Develop authentic answers that make you stand out Navigate different interview stages Recognize and respond to different types of interview questions Ever felt like you needed a translation guide for a job interview Interview Speak is that book! From "what are your weaknesses" to "what salary are you looking for", "why did you leave your last job" to "what questions do you have", you'll learn what employers are looking for when they ask these questions and how to give the best answer for you. Have you ever left an interview thinking "nailed it!" and all you heard back was a short rejection What happened Didn't you say all the right things Here's the hard truth: probably not! Job recruiters, screeners, and interviewers speak their own language. If you want to know what they're really asking, you need to learn interview speak! About the book Interview Speak translates the most common, important, and difficult interview questions into plain English and reveals how to answer them effectively and authentically. Experienced interview coaches and employment consultants Barbara Limmer and Laura Browne decode dozens of interview transcriptsincluding a few clueless responses that may seem all-too familiar. You'll learn to appear confident and qualified as you turn your good answers into great ones. What's inside An insider's perspective on the job interview Dozens of sample answers to common questions No canned repliesdevelop your own authentic responses About the reader For job seekers in any field. About the author Barbara Limmer has personally coached thousands of professionals and executives from around the world. Laura Browne has extensive experience in leadership and management development, including time as Senior Director of Human Resources for a global tech company. Table of Contents Part 1 1 Welcome to Interview Speak Part 2 2 Common questions and special situations 3 Interpersonal skills questions 4 Perseverance skills, failures, and negative situations questions 5 Leadership, hiring, and motivating skills questions 6 Problem-solving, time management, negotiation, and change questions 7 Questions by job function Part 3 8 Not doing your homework, not being real, or leaving without 9 Not hearing the question, the whole question, and the heart of the question 10 Giving answers that sound good to you (but aren't) Part 4 11 Interview stages and translations before, during, and after 12 How to deal with bad interviewers (and really good ones) Part 5 13 Next steps A Interview questions by chapter B Questions to think about C Interview preparation checklist D Post-interview evaluation Get a free Elektronisches Buch (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.

Taschenbuch. Zustand: Neu. Neuware - Learn how large language models like GPT and Gemini work under the hood in plain English.How Large Language Models Work translates years of expert research on Large Language Models into a readable, focused introduction to working with these amazing systems. It explains clearly how LLMs function, introduces the optimization techniques to fine-tune them, and shows how to create pipelines and processes to ensure your AI applications are efficient and error-free. In How Large Language Models Work you will learn how to: Test and evaluate LLMs Use human feedback, supervised fine-tuning, and Retrieval Augmented Generation (RAG) Reducing the risk of bad outputs, high-stakes errors, and automation bias Human-computer interaction systems Combine LLMs with traditional ML How Large Language Models Work is authored by top machine learning researchers at Booz Allen Hamilton, including researcher Stella Biderman, Director of AI/ML Research Drew Farris, and Director of Emerging AI Edward Raff. They lay out how LLM and GPT technology works in plain language that's accessible and engaging for all. About the Technology Large Language Models put the "I" in "AI." By connecting words, concepts, and patterns from billions of documents, LLMs are able to generate the human-like responses we've come to expect from tools like ChatGPT, Claude, and Deep-Seek. In this informative and entertaining book, the world's best machine learning researchers from Booz Allen Hamilton explore foundational concepts of LLMs, their opportunities and limitations, and the best practices for incorporating AI into your organizations and applications. About the Book How Large Language Models Work takes you inside an LLM, showing step-by-step how a natural language prompt becomes a clear, readable text completion. Written in plain language, you'll learn how LLMs are created, why they make errors, and how you can design reliable AI solutions. Along the way, you'll learn how LLMs "think," how to design LLM-powered applications like agents and Q&A systems, and how to navigate the ethical, legal, and security issues. What's Inside Customize LLMs for specific applications Reduce the risk of bad outputs and bias Dispel myths about LLMs Go beyond language processing About the Readers No knowledge of ML or AI systems is required. About the Author Edward Raff, Drew Farris and Stella Biderman are the Director of Emerging AI, Director of AI/ML Research, and machine learning researcher at Booz Allen Hamilton. Table of Contents 1 Big picture: What are LLMs 2 Tokenizers: How large language models see the world 3 Transformers: How inputs become outputs 4 How LLMs learn 5 How do we constrain the behavior of LLMs 6 Beyond natural language processing 7 Misconceptions, limits, and eminent abilities of LLMs 8 Designing solutions with large language models 9 Ethics of building and using LLMs Get a free Elektronisches Buch (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.

Taschenbuch. Zustand: Neu. Neuware - Don't rewrite from scratch! Improve your software speed and scalability by iteratively replacing performance-critical code with RustRefactoring to Rust helps you get the speed and reliability of Rust libraries, functions, and high-performance features without needing a complete rewrite of your codebase. In Refactoring to Rust you will learn to: Create Rust libraries you can call from other programming languages Integrate Rust functions with code in other languages Use Rust's ownership and borrowing system to write high performance code Handle errors as values using Rust's enums Minimize unnecessary memory usage with Rust's multiple string types Boost performance with Rust concurrency and async event processing Create Rust HTTP services Rust is designed to gradually replace other languages by integrating and decomposing existing code. Refactoring to Rust helps you take full advantage of this amazing feature, even if you've never coded in Rust before. You'll learn practical code-mixing techniques like embedding Rust libraries into apps written in other languages. About the technology Upgrade your software without starting from scratch! By incrementally introducing Rust into your codebase, you can upgrade key features and improve the performance of almost any application. This book shows you how to create standalone Rust libraries, boost speed and stability by using Rust for concurrency, and create safe, memory-efficient low-level code. About the book Refactoring to Rust shows you exactly where and how to integrate Rust surgically into applications written in another language. You'll start by reviewing Rust's unique syntax and concepts, with special emphasis on unique language features like variable lifetime and ownership. Then, you'll learn to use Rust to wrap dangerous code, call standard and custom Rust libraries, and even use WASM to run Rust in the browser. What's inside Create Rust libraries you can call from other languages Handle errors as values using Rust's enums Optimize for memory efficiency Boost performance with Rust concurrency About the reader For intermediate programmers. No Rust experience required. About the author Lily Mara is a software engineer focused on high-performance Rust applications. Joel Holmes is a software developer building cloud native applications. He is the Author of Shipping Go, and Co-Author of Go in Action, Second Edition. Table of Contents 1 Why refactor to Rust 2 An overview of Rust 3 Introduction to C FFI and unsafe Rust 4 Advanced FFI 5 Structuring Rust libraries 6 Integrating with dynamic languages 7 Testing your Rust integrations 8 Asynchronous Python with Rust 9 WebAssembly for refactoring JavaScript 10 WebAssembly interface for refactoring Get a free Elektronisches Buch (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.

Taschenbuch. Zustand: Neu. Neuware - Deliver flexible, scalable, and high-performance data storage that's perfect for AI and other modern applications with MongoDB 8.0 and MongoDB Atlas multi-cloud data platform.In MongoDB 8.0 in Action, Third Edition you'll find comprehensive coverage of the latest version of MongoDB 8.0 and the MongoDB Atlas multi-cloud data platform. Learn to utilize MongoDB's flexible schema design for data modeling, scale applications effectively using advanced sharding features, integrate full-text and vector-based semantic search, and more. This totally revised new edition delivers engaging hands-on tutorials and examples that put MongoDB into action! In MongoDB 8.0 in Action, Third Edition you'll: Master new features in MongoDB 8.0 Create your first, free Atlas cluster using the Atlas CLI Design scalable NoSQL databases with effective data modeling techniques Master Vector Search for building GenAI-driven applications Utilize advanced search capabilities in MongoDB Atlas, including full-text search Build Event-Driven Applications with Atlas Stream Processing Deploy and manage MongoDB Atlas clusters both locally and in the cloud using the Atlas CLI Leverage the Atlas SQL interface for familiar SQL querying Use MongoDB Atlas Online Archive for efficient data management Establish robust security practices including encryption Master backup and restore strategies Optimize database performance and identify slow queries MongoDB 8.0 in Action, Third Edition offers a clear, easy-to-understand introduction to everything in MongoDB 8.0 and MongoDB Atlasincluding new advanced features such as embedded config servers in sharded clusters, or moving an unsharded collection to a different shard. The book also covers Atlas stream processing, full text search, and vector search capabilities for generative AI applications. Each chapter is packed with tips, tricks, and practical examples you can quickly apply to your projects, whether you're brand new to MongoDB or looking to get up to speed with the latest version. About the technology MongoDB is the database of choice for storing structured, semi-structured, and unstructured data like business documents and other text and image files. MongoDB 8.0 introduces a range of exciting new featuresfrom sharding improvements that simplify the management of distributed data, to performance enhancements that stay resilient under heavy workloads. Plus, MongoDB Atlas brings vector search and full-text search features that support AI-powered applications. About the book MongoDB 8.0 in Action, Third Edition you'll learn how to take advantage of all the new features of MongoDB 8.0, including the powerful MongoDB Atlas multi-cloud data platform. You'll start with the basics of setting up and managing a document database. Then, you'll learn how to use MongoDB for AI-driven applications, implement advanced stream processing, and optimize performance with improved indexing and query handling. Hands-on projects like creating a RAG-based chatbot and building an aggregation pipeline mean you'll really put MongoDB into action! What's inside The new features in MongoDB 8.0 Get familiar with MongoDB's Atlas cloud platform Utilizing sharding enhancements Using vector-based search technologies Full-text search capabilities for efficient text indexing and querying About the reader For developers and DBAs of all levels. No prior experience with MongoDB required. About the author Arek Borucki is a MongoDB Champion, certified MongoDB and MongoDB Atlas administrator with expertise in distributed systems, NoSQL databases, and Kubernetes. Table of Contents Part 1 1 Understanding the world of MongoDB 2 Getting started with Atlas and MongoDB data 3 Communicating with MongoDB 4 Executing CRUD operations 5 Designing a MongoDB schema 6 Building aggregation pipelines 7 Indexing for query performance 8 Executing multidocument ACID transactions 9 Using replication and sharding Part 2 10 Delving into Database as a Service 11 Carrying out full-text search using Atlas Search 12 Learning semantic techniques and Atlas Vector Search 13 Developing AI applications locally with the Atlas CLI 14 Building retrieval-augmented generation AI chatbots 15 Building event-driven applications 16 Optimizing data processing with Atlas Data Federation 17 Archiving online with Atlas Online Archive 18 Querying Atlas using SQL 19 Creating charts, database triggers, and functions Part 3 20 Understanding Atlas and MongoDB security features 21 Operational excellence with Atlas Get a free Elektronisches Buch (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.