Build complete machine learning and AI solutions with Python, from modeling and LLMs to deployment and MLOps. Free with your book: PDF Copy, AI Assistant, and Next-Gen Reader Key FeaturesBuild AI systems from data prep to LLM deploymentLearn RAG pipelines, Context engineering, Agentic AI, and real MLOps toolsApply each concept using practical Python projectsBook DescriptionMachine Learning, Data Science, and AI Engineering wi...

Printed in Color Develop an array of effective strategies and blueprints to approach any new data analysis on the Kaggle platform and create Notebooks with substance, style and impact Leverage the power of Generative AI with Kaggle Models Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesMaster the basics of data ingestion, cleaning, exploration, and prepare to build baseline modelsWork robustly with any type, modality, and size ...

Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practices Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesBuild and refine LLMs step by step, covering data preparation, RAG, and fine-tuningLearn essential skills for deploying and monitoring LLMs, ensuring optimal performance in productionUtilize preference alignment, e...

Get hands-on with GPT 3.5, GPT 4, LangChain, Llama 2, Falcon LLM and more, to build LLM-powered sophisticated AI applications Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesEmbed LLMs into real-world applicationsUse LangChain to orchestrate LLMs and their components within applicationsGrasp basic and advanced techniques of prompt engineeringBook DescriptionBuilding LLM Powered Applications del...

Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously DRM-free PDF version + access to Packt's next-gen ReaderKey FeaturesImplement RAG and knowledge graphs for advanced problem-solvingLeverage innovative approaches like LangChain to create real-world intelligent systemsIntegrate large language models, gr...

Minimize AI hallucinations and build accurate, custom generative AI pipelines with RAG using embedded vector databases and integrated human feedback Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\*Key FeaturesImplement RAG’s traceable outputs, linking each response to its source document to build reliable multimodal conversational agentsDeliver accurate generative AI models in pipelines integrating RAG, real-time human fee...

Data visualization plays a major role in solving data science challenges with various capabilities it offers. This book aims to equip you with a sound knowledge of Python in conjunction with the concepts you need to master to succeed as a data visualization expert.The book starts with a brief introduction to the world of data visualization and talks about why it is important, the history of visualization, and the capabilities it offers. You will learn how to do simple Python-based visualiz...

Compute-IT will help you deliver innovative lessons for the new Key Stage 3 Computing curriculum with confidence, using resources and meaningful assessment produced by expert educators. With Compute-IT you will be able to assess and record students' attainment and monitor progression all the way through to Key Stage 4.Developed by members of Computing at School, the national subject association for Computer Science, and a team of Master Teachers wh...

Unleash your creativity and dive into the world of game development with Crafting Games with Python & Pygame: Game Development Unleashed! This comprehensive guide is designed for beginners and intermediate programmers who are eager to learn how to build their own games from the ground up using Python and Pygame, two of the most accessible and popular tools in the industry today.Whether you're new to programming or have some experience under your belt, this book takes you step-by-st...

Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.Relying on years of industry experience transforming deep learning research into award-winning applications, A...

As businesses race to unlock the full potential of large language models (LLMs), a critical challenge has emerged: How do you connect these tools to real-time, external data to solve real-world problems? Retrieval-augmented generation (RAG) is the answer. By combining LLMs with information retrieval, RAG empowers you to build everything from intelligent chatbots to autonomous, task-solving agents.Packed with over 70 practical recipes, this go-to guide tackles a wide range of GenAI ...

A clear and beginner-focused guide to Python and ML fundamentals. Covers coding basics, OOP, and core machine learning methods in a friendly, structured format.Key FeaturesA two-part structure combining Python basics and machine learning for seamless skill-buildingLogical progression designed to reduce learning friction and build strong conceptual clarityHands-on practice with Jupyter notebooks and real datasets to reinforce every key concept t...