HHSHOP68

Management Science and Business Analytics: A Modeling and Case Studies Approach with Spreadsheets 7th Edition* is a comprehensive textbook designed for students and professionals seeking practical applications of management science and business analytics. This book combines fundamental concepts with hands-on techniques, enabling readers to understand how data-driven decision-making can improve business performance.

Strategic Monoliths and Microservices helps business decision-makers and technical team members clearly understand their strategic problems through collaboration and identify optimal architectural approaches, whether the approach is distributed microservices, well-modularized monoliths, or coarser-grained services partway between the two.

Domain Storytelling facilitates the creation of business software by transforming domain knowledge into tangible business processes. This method uses a visual and collaborative approach, employing a pictographic language and scenario-based modeling to involve domain experts and team members. It's an agile technique that promotes understanding and allows for effective domain-driven software development.

"Hands-On Large Language Models" is a book and resource that provides a practical guide to understanding and utilizing large language models (LLMs). It focuses on both the conceptual foundations and practical applications of LLMs, offering a balance between theoretical explanations and hands-on examples, including code, diagrams, and worked-through use cases. The book covers topics from basic tokenization and embeddings to advanced techniques like fine-tuning and building semantic search engines. 

The book "Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph" is geared towards developers familiar with Python or JavaScript. It provides a step-by-step guide for creating production-ready AI agents using personal data, starting with fundamental concepts. The book's examples are available in Python and JavaScript, making it accessible to a wide range of developers interested in AI and LLM applications. It appears to be a good resource for beginners looking to leverage AI.

The CMT 2024 Level 3 Curriculum : The Integration of Technical Analysis focuses on risk management and traditional technical analysis. Key aspects include the integration of technical analysis, as highlighted by a UWorld resource. The exam seems to emphasize practical application and a comprehensive understanding of market dynamics, building upon the knowledge gained in previous levels.