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✨Welcome to Packt’s Signature Series: New Titles Just Arrived!📚

We're thrilled to introduce the latest addition to our Signature Series—a curated collection of the best-selling titles in the data industry! This limited-time offer is packed with expert insights on mastering data science algorithms, Generative AI, and multimodal systems.

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➽ RAG-Driven Generative AI: This new title, RAG-Driven Generative AI, is perfect for engineers and database developers looking to build AI systems that give accurate, reliable answers by connecting responses to their source documents. It helps you reduce hallucinations, balance cost and performance, and improve accuracy using real-time feedback and tools like Pinecone and Deep Lake. By the end, you’ll know how to design AI that makes smart decisions based on real-world data—perfect for scaling projects and staying competitive! Start your free trial for access, renewing at $19.99/month.

➽ The AI Value Playbook: This new title, The AI Value Playbook, helps tech leaders understand how to harness AI to boost business value. It breaks down key AI concepts and tech in simple terms, shares real-world examples from business leaders, and offers strategies to integrate AI into your company. Perfect for navigating AI’s fast-paced changes and applying it effectively across various sectors! Start your free trial for access, renewing at $19.99/month.

➽ Building Production-Grade Web Applications with Supabase: This new book is all about helping you master Supabase and Next.js to build scalable, secure web apps. It’s perfect for solving tech challenges like real-time data handling, file storage, and enhancing app security. You'll even learn how to automate tasks and work with multi-tenant systems, making your projects more efficient. By the end, you'll be a Supabase pro! Start your free trial for access, renewing at $19.99/month.

➽ Python Data Cleaning and Preparation Best Practices: This new book is a great guide for improving data quality and handling. It helps solve common tech issues like messy, incomplete data and missing out on insights from unstructured data. You’ll learn how to clean, validate, and transform both structured and unstructured data—think text, images, and audio—making your data pipelines reliable and your results more meaningful. Perfect for sharpening your data skills! Start your free trial for access, renewing at $19.99/month.

➽ Unlocking Data with Generative AI and RAG: This new book is all about helping tech teams solve real-world problems using retrieval-augmented generation (RAG). It simplifies how to combine large language models (LLMs) with your own data to improve AI apps, like search engines or chatbots. You'll learn to manage vector databases, automate workflows, and tackle common challenges in RAG implementation, making your AI systems smarter and more effective in decision-making. Start your free trial for access, renewing at $19.99/month.

➽ Principles of Data Science - Third Edition: This book is perfect for dataprofessionals who want to make sense of big data and build machine learning models that work. It helps solve problems like cleaning messy data, creating insightful visualizations, and managing biases in models. You’ll learn practical ways to deploy ML pipelines, handle complex datasets, and tackle real-world challenges with case studies. It's a clear guide for mastering data science, from math to machine learning! Start your free trial for access, renewing at $19.99/month.

➽ Bayesian Analysis with Python - Third Edition: This book is all about helping you tackle data analysis using Bayesian methods. It solves the challenge of building and interpreting complex models, making it easier with step-by-step guidance using tools like PyMC and ArviZ. You’ll learn how to create models, check them for accuracy, and apply Bayesian thinking to real-world problems—perfect for anyone wanting to strengthen their data science skills! Start your free trial for access, renewing at $19.99/month.

Eager for more insights? Add these powerful resources to your reading list.

➽ The Machine Learning Solutions Architect Handbook - Second Edition: This book is for tech professionals who want to solve big machine learning challenges using cloud tools like AWS. It tackles issues like managing risks in the ML lifecycle, building scalable architectures, and understanding generative AI. You’ll learn how to design ML solutions that work in real-world business scenarios, from training large models to using generative AI effectively. By the end, you'll be ready to handle the technical and business sides of ML projects with confidence.

➽ Causal Inference and Discovery in Python:This book is all about helping you solve the tricky problems of understanding cause and effect in data.It teaches you how to go beyond traditional stats with causal methods, like figuring out what really drives outcomes using Python. You’ll learn key concepts like interventions and counterfactuals, and master tools for discovering causal relationships—useful for building smarter, more reliable models. Perfect for anyone looking to level up their data science game with causal thinking!

➽ Hands-On Genetic Algorithms with Python - Second Edition: This book focuses on solving optimization challenges using genetic algorithms in Python. You'll discover how to tackle complex problems like planning, scheduling, and enhancing machine learning models. It covers bio-inspired algorithms like PSO and NEAT, leveraging cloud computing for faster solutions, and applying AI techniques such as NLP and reinforcement learning. It's a great guide for taking your AI projects to the next level with powerful, scalable solutions!

➽ Learning Geospatial Analysis with Python - Fourth Edition: This book helps you create powerful GIS solutions using Python 3.10, guiding you through essential geospatial tools like PostGIS, QGIS, and PROJ. It covers automating workflows, handling various data formats, and creating stunning visualizations with Python libraries. You'll also explore remote sensing, real-time data tracking, and geospatial modeling for applications like urban planning and disaster management. Perfect for building customized geospatial apps and unlocking the full potential of geospatial technology!

➽ Data Science with .NET and Polyglot Notebooks: This book is a hands-on guide for .NET developers looking to dive into data science, machine learning, and AI. It helps you conduct data experiments using Polyglot Notebooks and .NET Interactive tools, covering key topics like data analysis, model training, and AI orchestration. With interactive examples and online code access, you'll gain practical skills to solve real-world problems and apply advanced data science techniques in your .NET projects. Perfect for expanding your .NET expertise into the world of analytics and AI!

➽ TradeStation EasyLanguage for Algorithmic Trading: This book is perfect for traders wanting to learn algorithmic trading using TradeStation EasyLanguage. It guides you through building tools for Equities, Futures, and Forex markets, combining traditional trading techniques with machine learning to refine your strategies. You'll also learn risk management algorithms and how to program for mechanical trading, giving you a well-rounded, hands-on approach to mastering algorithmic trading in the financial markets. Great for those looking to blend AI with technical trading!

We’ve got more great things coming your way—see you soon!