Essentials of Python for Artificial Intelligence and Machine Learning

Gupta, Pramod, Bagchi, Anupam

Essentials of Python for Artificial Intelligence and Machine Learning
  • 出版商: Springer
  • 出版日期: 2024-02-15
  • 售價: $2,280
  • 貴賓價: 9.5 折 $2,166
  • 語言: 英文
  • 頁數: 509
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031437241
  • ISBN-13: 9783031437243
  • 相關分類: Python、程式語言、人工智慧、Machine Learning

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商品描述

This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). The authors explore the use of Python's advanced module features and apply them in probability, statistical testing, signal processing, financial forecasting, and various other applications. This includes mathematical operations with array data structures, Data Manipulation, Data Cleaning, machine learning, Data pipeline, probability density functions, interpolation, visualization, and other high-performance benefits using the core scientific packages NumPy, Pandas, SciPy, Sklearn/Scikit learn and Matplotlib. Readers will gain a deep understanding with problem-solving experience on these powerful platforms when dealing with engineering and scientific problems related to Machine Learning and Artificial Intelligence. Several examples of real problems using these techniques are provided along with examples. The authors also focus on the best practices in theindustry on using Python for AI and ML. Deployment on a cloud infrastructure is described in detail (with code) to emphasize real scenarios.

商品描述(中文翻譯)

本書介紹了 Python 在新興領域機器學習 (Machine Learning, ML) 和人工智慧 (Artificial Intelligence, AI) 的基本要素。作者探討了 Python 的高級模組特性，並將其應用於概率、統計檢驗、信號處理、金融預測及其他各種應用。這包括使用陣列數據結構進行數學運算、數據操作、數據清理、機器學習、數據管道、概率密度函數、插值、可視化，以及利用核心科學套件 NumPy、Pandas、SciPy、Sklearn/Scikit learn 和 Matplotlib 進行的其他高效能優勢。讀者將在處理與機器學習和人工智慧相關的工程和科學問題時，獲得深入的理解和問題解決經驗。書中提供了幾個使用這些技術的實際問題範例，並附有示例。作者還專注於業界在使用 Python 進行 AI 和 ML 的最佳實踐。書中詳細描述了在雲基礎設施上的部署（附有程式碼），以強調真實場景。

作者簡介

Pramod Gupta has more than 20 years of experience as a researcher and academician in various organizations including work with NASA, GE, VISA, and University of California and startups. He has a PhD from McMaster University in Electrical and Computer Engineering with specialization in Neuro-Control of Robotic Manipulators. He has more than 40 publications on these subjects. His research areas include, Neural Networks, Machine Learning, Artificial Intelligence, Data Modeling and Analytics and Data mining. Presently, he is working as adjunct faculty and independent data science consultant.

Anupam Bagchi has more than 20 years of experience working in the Silicon Valley in various roles. He has experience in big companies like IBM and Stanford, as well as start-ups that have produced cutting edge technologies. Though, most of his carrier has primarily been as a software engineer at various seniority levels, he has been working as an active data scientist for the past 10 years. His experience spans various domains such as XML parsing, content management, big data, ecommerce, internet of things (IoT), networking, artificial intelligence applied to bioinformatics and business intelligence applied to travel industry.


作者簡介(中文翻譯)

Pramod Gupta 擁有超過 20 年的研究和學術經驗，曾在多個機構工作，包括 NASA、GE、VISA、加州大學及多家初創公司。他在麥克馬斯特大學獲得電機與計算機工程博士學位，專攻機器人操作的神經控制。他在這些領域有超過 40 篇的出版物。其研究領域包括神經網絡、機器學習、人工智慧、數據建模與分析以及數據挖掘。目前，他擔任兼任教職和獨立數據科學顧問。

Anupam Bagchi 在矽谷擁有超過 20 年的工作經驗，擔任過多種角色。他曾在 IBM 和史丹佛等大型公司工作，也參與過生產尖端技術的初創公司。儘管他的大部分職業生涯主要作為不同資歷層級的軟體工程師，但在過去 10 年中，他一直活躍於數據科學領域。他的經驗涵蓋多個領域，如 XML 解析、內容管理、大數據、電子商務、物聯網 (IoT)、網絡、應用於生物信息學的人工智慧以及應用於旅遊業的商業智慧。

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