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解鎖地圖與JavaScript相遇的秘密，全國第一本介紹WebGIS開發與實戰應用的實體書籍！本書內容改編自第12屆iT邦幫忙鐵人賽，Modern Web組佳作網路系列文章－《你的地圖會說話？WebGIS與JavaScript的情感交織》。在人手一台智慧型手機，運用Google地圖查詢餐廳位址的時代，您是否會好奇這些地圖功能是如何透過程式實作的呢？給完全沒有WebGIS及地圖domain knowhow的你：本書將從最基本的地理資訊系統概念談起，從概念到程式實作一應俱全，完全沒接觸過GIS的讀者依舊能輕鬆上手！
| | | 圖解TensorFlow 2初學篇：實作tf.keras + Colab雲端、深度學習、人工智慧、影像辨識 繼台灣人工智慧領域最暢銷著作《TensorFlow+Keras深度學習人工智慧實務應用》之後，大數據分析大師、暢銷名作家 林大貴最新力作《圖解TensorFlow 2初學篇：實作tf.keras + Colab雲端、深度學習、人工智慧、影像辨識》嶄新登場！解決學習TensorFlow 2的障礙，輕鬆進入深度學習與人工智慧領域！TensorFlow 2是最受歡迎的「人工智慧與深度學習」平台，學會了TensorFlow 2，對於你的現有工作提升與未來轉職都有很大的幫助，然而多數人在學習過程中卻遇到了很多困難，而本書能解決學習TensorFlow 2的障礙。
| | | 動手學 GitHub！現代人不能不知道的協同合作平台 Microsoft工程師親自下筆，讓你輕鬆理解軟體開發流程！對於多數的開發人員來說，GitHub是程式開發過程中作為版本管理與協同合作的服務平台；對於專業技術人員而言，他們可以在GitHub上找到許多好用的資源，藉此提升自己的專業技能；對於社群成員而言，他們可以建立技術人員之間的聯繫，進行交流與貢獻於開放原始碼專案，為全世界的人們解決問題。但GitHub不僅僅只有如此而已，更多專案管理、自動化工作流程與資訊安全等概念隱藏其中。本書將從不同的角度來介紹GitHub，讓讀者不僅熟練其功能，也能從中理解何謂現代化軟體開發！
| | | 開發者傳授 PyTorch 秘笈
2022 開發者唯一指定 PyTorch 祕笈！入門深度學習、實作各種演算法最佳教材：以【統計／數學】為出發點，介紹深度學習必備的數理基礎；以【程式設計取代定理證明】，讓離開校園已久的在職者不會看到一堆數學符號就心生恐懼，縮短學習歷程，增進學習樂趣；摒棄長篇大論，輔以【大量圖表說明】介紹各種演算法；【完整的範例程式】及【各種演算法的延伸應用】！直接可在實際場域應用；介紹日益普及的【演算法 + 相關套件】的使用；介紹 PyTorch 最新版本功能；與另一本姊妹作《深度學習–最佳入門邁向 AI 專題實戰》搭配，可同時學會 PyTorch 與 TensorFlow。
| | | Head First Java: A Brain-Friendly Guide 3rd Edition Head First Java is a complete learning experience in Java and object-oriented programming. With this book, you'll learn the Java language with a unique method that goes beyond how-to manuals and helps you become a great programmer. Through puzzles, mysteries, and soul-searching interviews with famous Java objects, you'll quickly get up to speed on Java's fundamentals and advanced topics including lambdas, streams, generics, threading, networking, and the dreaded desktop GUI.
| | | Fundamentals of Deep Learning 2nd Edition We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics.The updated second edition of this book describes the intuition behind these innovations without jargon or complexity.
| | | Inside Deep Learning Inside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field. No detail is skipped—you'll dive into math, theory, and practical applications.
| | | Machine Learning on Kubernetes MLOps is an emerging field that aims to bring repeatability, automation, and standardization of the software engineering domain to data science and machine learning engineering. By implementing MLOps with Kubernetes, data scientists, IT professionals, and data engineers can collaborate and build machine learning solutions that deliver business value...
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