Books

衛星は毎日膨大な量の画像を取得していますが、ピクセルから洞察を得るにはAIが必要です。本書では、Pythonとオープンソースツールを用いて、実際の衛星画像に対してディープラーニングモデルを構築・学習・適用する方法を解説します。すぐに実行できるコードを含む23章で構成されており、すべてのコード例は https://book.opengeoai.org で無料公開されています。

I satelliti acquisiscono ogni giorno enormi volumi di immagini, ma trasformare i pixel in conoscenza richiede l’IA. Questo libro ti insegna a costruire, addestrare e applicare modelli di deep learning a immagini satellitari reali utilizzando Python e strumenti open source, con 23 capitoli di codice eseguibile che puoi utilizzare fin da subito. Tutti gli esempi di codice sono disponibili gratuitamente su https://book.opengeoai.org.

Satelliten erfassen täglich enorme Mengen an Bilddaten, doch um aus Pixeln Erkenntnisse zu gewinnen, ist KI erforderlich. Dieses Buch zeigt Ihnen, wie Sie Deep-Learning-Modelle für reale Satellitenbilder mit Python und Open-Source-Tools entwickeln, trainieren und anwenden können. Es enthält 23 Kapitel mit ausführbarem Code, den Sie sofort nutzen können. Alle Codebeispiele sind frei verfügbar unter https://book.opengeoai.org.

Les satellites capturent chaque jour d’énormes volumes d’images, mais transformer des pixels en connaissances nécessite l’IA. Ce livre vous apprend à concevoir, entraîner et appliquer des modèles d’apprentissage profond à de véritables images satellitaires à l’aide de Python et d’outils open source, avec 23 chapitres de code exécutable que vous pouvez utiliser dès aujourd’hui. Tous les exemples de code sont disponibles gratuitement sur https://book.opengeoai.org.

卫星每天获取海量影像数据，但将像素转化为洞察需要借助人工智能。本书将教你如何使用 Python 和开源工具构建、训练并应用深度学习模型，处理真实的卫星影像。全书包含 23 个可运行的代码章节，帮助你即学即用。所有代码示例均可在 https://book.opengeoai.org 免费获取。

Los satélites capturan enormes volúmenes de imágenes cada día, pero convertir píxeles en conocimiento requiere IA. Este libro te enseña a construir, entrenar y aplicar modelos de aprendizaje profundo a imágenes satelitales reales utilizando Python y herramientas de código abierto, con 23 capítulos de código ejecutable que puedes probar hoy mismo. Todos los ejemplos de código están disponibles gratuitamente en https://book.opengeoai.org.

Gradient-boosted trees have dominated tabular ML for a decade. A new class of pretrained models just broke through — making accurate predictions on unseen datasets in seconds, with zero gradient steps on your data. This book explains why it works, when it fails, and how to deploy it.

Unlock the statistical foundations of machine learning. Learn probability, inference, and regression through practical examples

Satellites capture massive volumes of imagery every day, but turning pixels into insight requires AI. This book teaches you to build, train, and apply deep learning models to real satellite imagery using Python and open-source tools, with 23 chapters of executable code you can run today. All code examples are freely availabe at https://book.opengeoai.org.

A practical backend interview reference covering modern Python and Django development (397 manuscript pages).

We'll build an agent step-by-step, starting with a small loop that accepts input and produces structured output. As we go, we'll add tools, validation, model switching, runtime adapters, and packaging techniques that'll let the agent move from a simple script to a reusable application.

Learn Python step by step with a practical workbook designed for absolute beginners. This book combines clear explanations, visual flowcharts, exercises, and hands-on coding projects to help you understand programming from the ground up.

This book introduces students to the fundamentals of Python programming through a structured and practical learning approach. Designed for beginners, the book focuses on problem solving, algorithms, and core programming concepts using clear explanations and hands-on exercises. Readers will learn how to build Python programs step by step while developing computational thinking skills.

Your code deserves to be on PyPI. pip install yours is a step-by-step guide to packaging and publishing Python projects — from project structure to your first live release on PyPI.

Break free from expensive cloud APIs and reclaim your digital sovereignty by running powerful LLMs locally. Master the professional stack—from vLLM serving and Unsloth fine-tuning to advanced quantization on consumer GPUs. Build secure, lightning-fast AI applications that protect your data and eliminate recurring token fees forever. Stop renting your intelligence and start building a private, autonomous future on your own hardware.