pearson sep 2023 (38 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware - Each Reading Book in the Rapid Plus stages 10-12 series is finely levelled for KS3 students, and includes:

Taschenbuch. Zustand: Neu. Neuware -A Practical Guide to Better, Cleaner Code with Functional ProgrammingPearson, St.-Martin-Straße 82, 81541 München 249 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like ChatGPT are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, hands-on exercises, and more. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, parameters, and performance. You'll find even more resources on the companion website, including sample datasets and code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and ChatGPT), Google (BERT, T5, and Bard), EleutherAI (GPT-J and GPT-Neo), Cohere (the Command family), and Meta (BART and the LLaMA family). Learn key concepts: pre-training, transfer learning, fine-tuning, attention, embeddings, tokenization, and moreUse APIs and Python to fine-tune and customize LLMs for your requirementsBuild a complete neural/semantic information retrieval system and attach to conversational LLMs for retrieval-augmented generationMaster advanced prompt engineering techniques like output structuring, chain-ofthought, and semantic few-shot promptingCustomize LLM embeddings to build a complete recommendation engine from scratch with user dataConstruct and fine-tune multimodal Transformer architectures using opensource LLMsAlign LLMs using Reinforcement Learning from Human and AI Feedback (RLHF/RLAIF)Deploy prompts and custom fine-tuned LLMs to the cloud with scalability and evaluation pipelines in mind 'By balancing the potential of both open- and closed-source models, Quick Start Guide to Large Language Models stands as a comprehensive guide to understanding and using LLMs, bridging the gap between theoretical concepts and practical application.'--Giada Pistilli, Principal Ethicist at HuggingFace 'A refreshing and inspiring resource. Jam-packed with practical guidance and clear explanations that leave you smarter about this incredible new field.'--Pete Huang, author of The Neuron Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.Pearson, St.-Martin-Straße 82, 81541 München 251 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware - A Practical Guide to Better, Cleaner Code with Functional Programming In Functional Design, renowned software engineer Robert C. Martin ('Uncle Bob') explains how and why to use functional programming to build better systems for real customers. Martin compares conventional object-oriented coding structures in Java to those enabled by functional languages, identifies the best roles for each, and shows how to build better systems by judiciously using them in context. Martin's approach is pragmatic, minimizing theory in favor of 'in the-trenches' problem-solving. Through accessible examples, working developers will discover how the easy-to-learn, semantically rich Clojure language can help them improve code cleanliness, design, discipline, and outcomes. Martin examines well-known SOLID principles and Gang of Four Design Patterns from a functional perspective, revealing why patterns remain extremely valuable to functional programmers, and how to use them to achieve superior results. Understand functional basics: immutability, persistent data, recursion, iteration, laziness, and statefulness Contrast functional and object approaches through expertly crafted case studies Explore functional design techniques for data flow Use classic SOLID principles to write better Clojure code Master pragmatic approaches to functional testing, GUIs, and concurrency Make the most of design patterns in functional environments Walk through building an enterprise-class Clojure application 'Functional Design exudes 'classic-on-arrival'. Bob pulls back the curtain to reveal how functional programming elements make software design simple yet pragmatic. He does so without alienating experienced object-oriented programmers coming from languages like C#, C++, or Java.'--Janet A. Carr, Independent Clojure Consultant Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Taschenbuch. Zustand: Neu. Neuware - The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like ChatGPT are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, hands-on exercises, and more. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, parameters, and performance. You'll find even more resources on the companion website, including sample datasets and code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and ChatGPT), Google (BERT, T5, and Bard), EleutherAI (GPT-J and GPT-Neo), Cohere (the Command family), and Meta (BART and the LLaMA family). Learn key concepts: pre-training, transfer learning, fine-tuning, attention, embeddings, tokenization, and more Use APIs and Python to fine-tune and customize LLMs for your requirements Build a complete neural/semantic information retrieval system and attach to conversational LLMs for retrieval-augmented generation Master advanced prompt engineering techniques like output structuring, chain-ofthought, and semantic few-shot prompting Customize LLM embeddings to build a complete recommendation engine from scratch with user data Construct and fine-tune multimodal Transformer architectures using opensource LLMs Align LLMs using Reinforcement Learning from Human and AI Feedback (RLHF/RLAIF) Deploy prompts and custom fine-tuned LLMs to the cloud with scalability and evaluation pipelines in mind 'By balancing the potential of both open- and closed-source models, Quick Start Guide to Large Language Models stands as a comprehensive guide to understanding and using LLMs, bridging the gap between theoretical concepts and practical application.'--Giada Pistilli, Principal Ethicist at HuggingFace 'A refreshing and inspiring resource. Jam-packed with practical guidance and clear explanations that leave you smarter about this incredible new field.'--Pete Huang, author of The Neuron Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - CompTIA® Project+ PK0-005 Cert Guide from Pearson IT Certification helps you prepare to succeed on the CompTIA Project+ exam by directly addressing the exam's objectives as stated by CompTIA. Leading instructors and experts Robin Abernathy and Ann Lang share preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills.