Фильтр публикаций




The Craft of Post-Training: A Practical Guide for AI Engineers and Developers 2026

Автор: Chris von Csefalvay

A pre-trained model has read most of the internet—and can be trusted with almost none of it. Post-training is the work that changes that: where you take a raw, general model and shape it into something that behaves, follows instructions, refuses what it shouldn’t do, and handles the specific job you need. It’s the human hand on the machine, and the part almost no one explains.




jаvascript Crash Course: A Hands-On, Project-Based Introduction to Programming (Final Release) 2024

Автор: Nick Morgan

jаvascript is the programming language of the internet—the secret sauce that makes websites dynamic, responsive, and all-around awesome. This fast-paced tutorial quickly teaches total beginners how to code in this popular, easy-to-learn language. Light-hearted and hands-on, the book introduces you to programming essentials through fun examples, hands-on exercises, and cool projects like building a Pong-style computer game. You’ll discover all of the important aspects of the language (without delving into expert-level nitty-gritty details or confusing jargon) as you develop a fast knack for programming with jаvascript.


Digital Twins in Action (Final Release) 2026

Автор: Greg Biegel

A digital twin is a software-based replica of a physical system that can be used to operate, monitor, and maintain it remotely. Working together, IoT sensors, 3D visualizations, simulation algorithms, AI models, and even robotics give a digital twin an impressive degree of control. This virtual environment is perfect for testing ideas, exploring "what if" scenarios, and unlocking insights—all without making costly changes in reality.


CompTIA Linux+ Study Guide: Essential Exam Prep 2026

Автор: Angel Sayani

While most operating systems come and go, Linux has steadily become the backbone of modern computing. The CompTIA Linux+ certification is the industry's most respected vendor-neutral credential, and the XK0-005 exam is your gateway to earning it. This study guide is a comprehensive learning solution, covering all exam objectives from system configuration and security to automation and troubleshooting.


The Art of Code: The surprising power of beauty in software development (Final Release) 2026

Автор: Sandrine Banas

Software development is an inherently creative activity, and yet we regularly reduce it to the formulaic or mechanical. This book reveals how aesthetics can be important in programming and why elegant code often yields profound practical benefits. By prioritizing code beauty you raise the standards of your entire codebase. You make it easier to maintain, extend, and onboard developers, even (or especially) when you’re doing agentic coding. This guide for developers discusses how artful coding directly reduces bugs and increases system durability. It will deeply enhance your personal satisfaction as a developer.


The C# Type System 2026

Автор: Steve Love

Harness the power of the C# type system to write programs that are clearer, simpler, and more efficient.

The type system is the foundation upon which all C# programs are built. The C# Type System will show you how todefine and implement value types effectively, and write more performant and robust code. Real-world code examplesand test cases throughout will elevate your programming with C# and show you how best to implement the principlesyou’re learning.


AI-Assisted Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, 3rd Edition 2026

Автор: Peter Bruce

Statistical methods are a key part of Data Science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The third edition of this popular guide expands its practical foundations in R and Python into the modern AI toolkit, with new chapters on neural networks, deep learning, and large language models. Generative AI is integrated throughout, showing how tools such as ChatGPT, Claude, and Gemini work, and how they can support real-world statistical workflows.


Secure Boot Encryption with Linux: Implementation for Embedded Developers 2026

Автор: Rodolfo Giometti

Secure Boot Encryption with Linux serves as a quick guide to building and maintaining a secure, embedded Linux system by establishing a verifiable Chain-of-Trust from the moment power is applied until the first user space application takes control. It meticulously breaks down what the Secure Boot implementation is, and critically, what it is not by providing the technical knowledge necessary to guard against sophisticated bootkits and unauthorized code execution.


Databricks Certified Generative AI Engineer Associate Study Guide: Generative AI with Databricks (Final Release) 2026

Автор: Rajaniesh Kaushikk

As generative AI becomes central to modern data and Machine Learning workflows, earning the Databricks Certified Generative AI Engineer Associate certification signals both credibility and technical fluency. This study guide prepares you for this sought-after certification with comprehensive coverage of core GenAI and LLM concepts, practical data management using Delta Lake, and retrieval-augmented generation (RAG) application workflows on the Databricks platform.


Data Visualization For Scientific Discoveries: Technological Integration And Innovative Practices 2027

Автор: Qian Liu

Data Visualization for Scientific Discoveries provides innovative, practical methods, including dynamic graphics engines, interactive storytelling, and AI-generated content, to visualize multi-source, high-dimensional data more effectively. Authored by experts in art technology and educational psychology, the text presents data-validated methods for accelerating both discovery and public engagement. It offers a complete five-step workflow with case studies from reputable organizations like NASA and CERN, showcasing how solutions like Virtual Reality (VR) can boost anomaly detection and improve public climate awareness.


Laboratory Manual for Environmental Geocomputation with R 2027

Автор: Marcelo de Carvalho Alves

This Laboratory Manual complements the textbook Environmental Geocomputation with R, featuring practical applications for natural resource data analysis through hands-on exercises and case studies using the open-source R platform. Its structured workflow enhances students' understanding of scientific approaches to each case study, teaching them to replicate, adapt, and expand methodologies with new data sets, models, and research areas. Designed for both undergraduate and graduate students in environmental, agricultural, and social sciences, Laboratory Manual for Environmental Geocomputation with R provides a comprehensive foundation in computational environmental analysis while developing transferable skills in data manipulation and visualization.


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.


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.


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.


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.


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.


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Vision Language Models: Building VLMs with Hugging Face (Final Release) 2026

Автор: Merve Noyan

Vision language models (VLMs) combine computer vision and natural language processing to create powerful systems that can interpret, generate, and respond in multimodal contexts. Vision Language Models is a hands-on guide to building real-world VLMs using the most up-to-date stack of machine learning tools from Hugging Face, Meta (PyTorch), NVIDIA (Cuda), and others, written by leading researchers and practitioners Merve Noyan, Miquel Farré, Andrés Marafioti, and Orr Zohar. From image captioning and document understanding to advanced zero-shot inference and retrieval-augmented generation (RAG), this book covers the full VLM application and development lifecycle.

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