Machine Learning and AI with Simple Python and Matlab Scripts
暫譯: 簡單的 Python 和 Matlab 腳本進行機器學習與人工智慧
Uyar, M. Umit
商品描述
A practical guide to AI applications for Simple Python and Matlab scripts
Machine Learning and AI with Simple Python and Matlab Scripts introduces basic concepts and principles of machine learning and artificial intelligence to help readers develop skills applicable to many popular topics in engineering and science. Step-by-step instructions for simple Python and Matlab scripts mimicking real-life applications will enter the readers into the magical world of AI, without requiring them to have advanced math and computational skills. The book is supported by instructor only lecture slides and sample exams with multiple-choice questions.
Machine Learning and AI with Simple Python and Matlab Scripts includes information on:
- Artificial neural networks applied to real-world problems such as algorithmic trading of financial assets, Alzheimer's disease prognosis
- Convolution neural networks for speech recognition and optical character recognition
- Recurrent neural networks for chatbots and natural language translators
- Typical AI tasks including flight control for autonomous drones, dietary menu planning, and route planning
- Advanced AI tasks including particle swarm optimization and differential and grammatical evolution as well as the current state of the art in AI tools
Machine Learning and AI with Simple Python and Matlab Scripts is an accessible, thorough, and practical learning resource for undergraduate and graduate students in engineering and science programs along with professionals in related industries seeking to expand their skill sets.
商品描述(中文翻譯)
簡單 Python 和 Matlab 腳本的 AI 應用實用指南
使用簡單 Python 和 Matlab 腳本的機器學習與 AI 介紹了機器學習和人工智慧的基本概念和原則，幫助讀者發展適用於許多熱門工程和科學主題的技能。逐步指導的簡單 Python 和 Matlab 腳本模擬現實應用，將讀者帶入 AI 的神奇世界，而無需具備高級數學和計算技能。本書附有僅供教師使用的講義幻燈片和包含選擇題的樣本考試。
使用簡單 Python 和 Matlab 腳本的機器學習與 AI 包含以下資訊：
- 應用於現實世界問題的人工神經網絡，例如金融資產的算法交易、阿茲海默症預後
- 用於語音識別和光學字符識別的卷積神經網絡
- 用於聊天機器人和自然語言翻譯的遞歸神經網絡
- 典型的 AI 任務，包括自主無人機的飛行控制、飲食菜單規劃和路徑規劃
- 高級 AI 任務，包括粒子群優化和微分及文法演化，以及當前 AI 工具的最新技術
使用簡單 Python 和 Matlab 腳本的機器學習與 AI 是一本可及性高、內容全面且實用的學習資源，適合工程和科學課程的本科生和研究生，以及希望擴展技能的相關行業專業人士。
作者簡介
M. Ümit Uyar is a Professor at the City College of the City University of New York, USA. Dr. Uyar is an IEEE Fellow, author, co-author and co-editor of seven books, holder of seven U.S. patents, and developer of AI and game theory-based algorithms for applications in topology control in mobile networks and personalized cancer treatment.
作者簡介(中文翻譯)
M. Ümit Uyar 是美國紐約市立大學的教授。Uyar 博士是 IEEE 會士，七本書的作者、合著者和共同編輯，擁有七項美國專利，並開發了基於人工智慧和博弈論的演算法，應用於行動網路的拓撲控制和個性化癌症治療。
