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相關主題
商品描述
Artificial Intelligence, or AI, is no doubt one of the hottest buzz words at the moment. AI has penetrated into many aspects of our lives. To know AI and to be able to use AI will bring enormous benefits to our work and life. However, to learn AI is a daunting task for many people, largely due to the complex mathematics and sophisticated coding. This book aims to demystify AI and teach readers about AI from scratch, by using simple, plain, languages and simple, illustrative, code examples. This book is divided into three parts.
In part one, readers will follow an easy to read introduction about AI, including the history, the types of AI, the current status and possible future trend. It then introduces Python, A widely used programming tool for AI. In part two, we introduce Machine Learning aspect of AI, topics include classifications, regressions, and Clustering. It also includes the most popular Reinforcement Learning. In part three, it introduces Deep Learning aspect of AI, topics include Image Classifications, Transfer Learning, Recurrent Neural Network, and the latest Generative Adversarial Networks. It also includes the state of the art of GPU, TPU, cloud computing and edge computing.
This book is packed with interesting and exciting examples such as pattern recognitions, image classifications, face recognition (most controversial), age and gender detection, voice/speech recognition, chatbot, natural language processing, translation, sentiment analysis, predictive maintenance, finance and stock price analysis, sales prediction, customer segmentation, biomedical data analysis and much more.
商品描述(中文翻譯)
人工智慧(Artificial Intelligence,簡稱AI)無疑是當下最熱門的關鍵詞之一。AI已經滲透到我們生活的許多方面。了解AI並能夠應用AI將為我們的工作和生活帶來巨大的好處。然而,對於許多人來說,學習AI是一個艱鉅的任務,主要是因為複雜的數學和精密的編碼。本書旨在揭開AI的神秘面紗,通過使用簡單明瞭的語言和生動的代碼示例,從零開始教讀者了解AI。本書分為三個部分。
在第一部分中,讀者將通過易於閱讀的介紹了解AI,包括歷史、AI的類型、目前的狀態和可能的未來趨勢。然後介紹了Python,這是一種廣泛用於AI的編程工具。在第二部分中,我們介紹了AI的機器學習方面,主題包括分類、回歸和聚類。還包括最受歡迎的強化學習。在第三部分中,介紹了AI的深度學習方面,主題包括圖像分類、遷移學習、循環神經網絡和最新的生成對抗網絡。還包括GPU、TPU、雲計算和邊緣計算的最新技術。
本書充滿了有趣和令人興奮的示例,如模式識別、圖像分類、人臉識別(最具爭議性)、年齡和性別檢測、語音識別、聊天機器人、自然語言處理、翻譯、情感分析、預測性維護、金融和股價分析、銷售預測、客戶分割、生物醫學數據分析等等。
作者簡介
PERRY XIAO, PhD, is Professor and Course Director of London South Bank University. He holds his doctorate in photophysics and is Director and co-Founder of Biox Systems Ltd., a university spin-out company that designs and manufactures the AquaFlux and Epsilon Permittivity Imaging system.
作者簡介(中文翻譯)
PERRY XIAO博士是倫敦南岸大學的教授和課程主任。他擁有光物理學博士學位,並且是Biox Systems Ltd.的董事和聯合創始人,該公司是一家由大學孵化的公司,專門設計和製造AquaFlux和Epsilon Permittivity Imaging系統。