Books

این کتاب راهنمایی مختصر و تصویری است برای افرادی که می‌خواهند سازوکارهای مدل‌های زبانی بزرگ را در مصاحبه‌ها، پروژه‌ها یا حتی برای رفع کنجکاوی شخصی‌شان بهتر درک کنند.

800 pages. 11 chapters. The full forecasting stack in Python — from ARIMA to foundation models — with production-grade code and proper evaluation. No hype.

Discover how to build AI systems that don’t just react — they act. Agentic AI is your guide to designing autonomous, goal-driven systems that think, plan, and execute with purpose.

Unlock the power of Artificial Intelligence with AI Fundamentals—your essential guide to understanding and applying AI in the real world. From machine learning and neural networks to big data and algorithmic transparency, this book breaks down complex concepts into clear, actionable insights. Discover how AI is transforming industries, driving innovation, and creating competitive advantages for businesses worldwide. Through real-world case studies, ethical considerations, and practical frameworks, AI Fundamentals equips you with the knowledge to harness AI effectively. Whether you’re a business leader, data scientist, or AI enthusiast, this book provides the tools to navigate the AI-driven future with confidence.

Büyük dil modellerine dair ana kavramları ve pratik uygulamaları kapsayan, açık ve görsellerle desteklenmiş bir rehber. Projeler, mülakatlar ve kişisel öğrenme için idealdir.

大規模言語モデル (LLM) の主要な概念から実践的な応用例まで、簡潔に図解されている学習ガイドです。プロジェクトでの利用、面接対策、個人的な学習にも最適です。

Welcome to Part 1 of DeepSeek AI from Beginner to Paid Professional! In this installment, we dive into DeepSeek, a cutting-edge platform that is revolutionizing the way we build, deploy, and scale AI solutions. Whether you're a beginner taking your first steps into generative AI or an intermediate learner looking to deepen your expertise, this part of the series will equip you with the hands-on skills and practical knowledge to master DeepSeek and create deployable AI applications.

Discover the full potential of Microsoft Excel in Hallo Microsoft Excel: Mastering Data Analytics. This book is packed with hands-on labs (HOL) designed to teach you how to transform raw data into meaningful insights. Learn how to connect Excel with SQL Server, configure queries, and load data seamlessly. Master data visualization with tools like PivotTables, Sparklines, and Maps. Dive into dynamic reports, dashboards, and what-if analysis to create interactive and visually compelling insights. Each exercise, from conditional formatting to growth analysis, is crafted to make you a data analytics expert using Excel. Perfect for beginners and professionals alike, this book is your guide to mastering data analytics, step by step!

"How Does Computer Science Work?" answers 28 key questions every software engineer should know, unraveling the technologies that shape our digital world. From how browsers work and cryptography secures data to AI, Web3, and quantum computing, this book bridges curiosity and understanding. Perfect for students, self-taught programmers, and seasoned developers, it’s your ultimate guide to mastering foundational concepts and cutting-edge innovations in computer science.

Machine learning engineering is an in-demand skill set, and it can be difficult to find a helpful guide on the topic. This fully updated second edition will help you solve business problems by addressing the pain points in creating standardized pipelines for taking proof-of-concept ML models to production and producing trustworthy results.

Deep Learning for Time Series Cookbook covers several time series problems, and how to tackle them using deep learning in a set of coding recipes. These recipes will enable you to develop accurate forecasting models using the PyTorch ecosystem.

Bayesian inference uses probability distributions and Bayes' theorem to build flexible models. This book uses PyMC to abstract all mathematical and computational details from this process, allowing readers to solve a range of data science problems.

My goal is to equip other programmers with the confidence to confidently incorporate machine learning into their C++ projects by guiding them through real-world examples and addressing common challenges head-on.

This book offers a groundbreaking exploration of how advanced machine learning techniques are revolutionizing the diagnosis of Alzheimer's disease. In this comprehensive guide, you will uncover the powerful role that deep learning, particularly 3D Convolutional Neural Networks (3D-CNNs) and Attention Mechanisms, can play in early detection—paving the way for faster, more accurate diagnoses.