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Publicaciones del Canal
| 2 |  Build a Reasoning Model (From Scratch) (Final) 2026
Автор: Sebastian Raschka
LLM reasoning models have the power to tackle truly challenging problems that require finding the right path through multiple steps. In this book you’ll learn how to build a working reasoning model from the ground up. You will start with an existing pre-trained LLM and then implement reasoning-focused improvements from scratch.
Sebastian Raschka, the bestselling author of Build a Large Language Model (From Scratch), is your guide on this exciting journey. Sebastian mentors you every step of the way with clear explanations, practical code, and a keen focus on what really matters. Understand LLM reasoning by creating your own reasoning model–from scratch! | 307 |
| 3 | Software Engineering Methods.pdf | 548 |
| 4 |  Software Engineering Methods: A Design Thinking Based Approach 2027
Автор: Soumya Sankar Basu
This book prepares students for software engineering careers by bridging the gap between academic learning and industry demands. It introduces software engineering methods and demonstrates how they augment the software development lifecycle. The book helps readers arriving at a software engineering method for a software development/maintenance engagement using a step-by-step approach. | 510 |
| 5 | Practical Statistics in Medicine with R.pdf | 745 |
| 6 |  Practical Statistics in Medicine with R: Understanding Fundamental Concepts through Examples 2027
Автор: Konstantinos I. Bougioukas
Whether you’re new to statistical analysis or looking to enhance your analytical skills with the R programming language, this textbook provides comprehensive and practical guidance for understanding fundamental statistical concepts through healthcare examples in R. It is an ideal resource for students, educators, and healthcare researchers seeking a step-by-step first approach to effectively applying R in the analysis of healthcare data. | 679 |
| 7 | Everyday Data Visualization_True.pdf | 818 |
| 8 |  Everyday Data Visualization: Design Effective Charts and Dashboards (Final Release) 2024
Автор: Desiree Abbott
Everyday Data Visualization guides you through basic graphic design for the most common types of data visualization. You’ll learn how to enhance charts with color, encourage users to interact and explore data and create visualizations accessible to everyone. Along the way, you’ll practice each new skill as you take a dashboard project from research to publication. | 748 |
| 9 | Building AI-Powered Products_True.pdf | 818 |
| 10 |  Building AI-Powered Products: The Essential Guide to AI and GenAI Product Management (Final Release) 2025
Автор: Marily Nika
Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points. Whether you're already leading product teams or are an aspiring product manager, and regardless of your prior knowledge with AI, this guide will empower you to confidently navigate every stage of the AI product lifecycle. | 740 |
| 11 | Advanced SQL_Final.pdf | 864 |
| 12 |  Advanced SQL: Implementing Modern Data Solutions and ML Applications (Final Release) 2026
Автор: Rui Machado
SQL has evolved from a querying language for relational databases to a foundational tool for building scalable, modern data solutions across real-time analytics, machine learning workflows, and even generative AI applications. Advanced SQL moves beyond SELECT statements and taps into the full power of SQL as a programming interface for today's most advanced data platforms.
Written by seasoned data experts Rui Machado, Hélder Russa, and Pedro Esmeriz, this practical guide explores the role of SQL in streaming architectures (like Apache Kafka and Flink), data lake ecosystems, cloud data warehouses, and ML pipelines. Data and analytics engineers, analysts, and scientists will get hands-on guidance on expanding their SQL skills into emerging workflows and real-world production systems. | 793 |
| 13 | Real-Time Intelligence with Microsoft Fabric_True.pdf | 848 |
| 14 |  Real-Time Intelligence with Microsoft Fabric: Empowering Data-Driven Decisions in the Era of AI (Final Release) 2026
Автор: Johan Ludvig Brattås
In today's hyper-connected world, many organizations are overwhelmed by the volume of data generated every second. Making timely decisions using this information remains a challenge for many. Real-time intelligence has transformed from a luxury to a necessity for businesses striving to stay ahead in a rapidly evolving marketplace. Enter Microsoft Fabric's Real-Time Intelligence: a new tool that not only analyzes data but also acts upon the results. | 786 |
| 15 | Head_First_SQL_2Ed_True.pdf | 1 003 |
| 16 |  Head First SQL: A Learner's Guide to Querying and Managing Data, 2nd Edition (Final Release) 2026
Автор: Kimberly Fessel
What will you learn from this book?
Do you have an abundance of data but don't know how to make sense of it? Do you want to gain useful insights from your data, but you're not sure where to begin? Mining data is a vital, well-paying skill, and SQL provides the most fundamental way to query and manage data. But learning SQL can be intimidating. This thoroughly revised book teaches you SQL fundamentals in a painless and enjoyable manner. With the Head First series’ hands-on, conversational style, you'll quickly grasp SQL concepts, then move to intermediate topics, including subqueries and joins. You'll gain the knowledge, skills, and confidence necessary to get the most out of your data with SQL. | 944 |
| 17 | Soccer Analytics with Machine Learning_True.pdf | 901 |
| 18 |  Soccer Analytics with Machine Learning: Learning Predictive Modeling Techniques with Sports Data (Final Release) 2026
Автор: Haipeng Gao
Struggling to grasp Machine Learning concepts or unsure how to apply them in the real world? This book aims to change that by using the world's most popular game—soccer—to illuminate key concepts in predictive modeling and Data Science. Whether you're a complete beginner or you're interested in entering the burgeoning field of sports analytics, you'll develop a solid foundation in Machine Learning through engaging examples that bridge academic principles with practical applications. | 859 |
| 19 | ML and Generative AI in the Data Lakehouse_True.pdf | 896 |
| 20 |  ML and Generative AI in the Data Lakehouse: Building and Deploying AI Applications at Scale 2026
Автор: Bennie Haelen
Your organization's data lives in a lakehouse. Your AI ambitions demand models that understand your business, not just the internet. This book bridges that gap, showing you how to build scalable, production-ready ML and generative AI solutions using Databricks and the full power of data lakehouse architecture.
Author Bennie Haelen draws on deep enterprise experience across healthcare, energy, and finance to guide you through deploying, tuning, and governing models on Databricks. You'll learn to combine traditional ML with LLMs, control costs using open source models, and apply best practices that hold up in production. | 825 |
