Python 3 and Machine Learning Using ChatGPT / GPT-4

Campesato, Oswald

  • 出版商: Mercury Learning and Information
  • 出版日期: 2024-05-20
  • 售價: $1,920
  • 貴賓價: 9.5$1,824
  • 語言: 英文
  • 頁數: 268
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1501522957
  • ISBN-13: 9781501522956
  • 相關分類: ChatGPTPython程式語言Machine Learning
  • 無法訂購

商品描述

This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine learning, and the innovative use of ChatGPT-4 in data science. The book is structured to facilitate a deep understanding of several core topics. It begins with a detailed introduction to Pandas, a cornerstone Python library for data manipulation and analysis. Next, it explores a variety of machine learning classifiers from kNN to SVMs. In later chapters, it discusses the capabilities of GPT-4, and how its application enhances traditional linear regression analysis. Finally, the book covers the innovative use of ChatGPT in datavisualization. This segment focuses on how AI can transform data into compelling visual stories, making complex results accessible and understandable. It includes material on AI apps, GANs, and DALL-E. Companion files are available for downloading with code and figures from the text.

FEATURES:

  • Includes practical tutorials designed to provide hands-on experience, reinforcing learning through practice
  • Provides coverage of the latest Python tools using state-of-the-art libraries essential for modern data scientists
  • Companion files with source code, datasets, and figures are available for downloading

商品描述(中文翻譯)

本書旨在彌合理論知識與實際應用之間的鴻溝,涵蓋 Python 程式設計、機器學習以及在數據科學中創新使用 ChatGPT-4 的領域。書籍結構設計以促進對幾個核心主題的深入理解。首先,詳細介紹了 Pandas,這是一個用於數據操作和分析的基礎 Python 函式庫。接著,探討了從 kNN 到 SVM 的各種機器學習分類器。在後面的章節中,討論了 GPT-4 的能力,以及其應用如何增強傳統的線性回歸分析。最後,本書涵蓋了 ChatGPT 在數據視覺化中的創新使用。這一部分專注於 AI 如何將數據轉化為引人入勝的視覺故事,使複雜的結果變得易於理解。內容包括 AI 應用、GANs 和 DALL-E 的相關資料。隨書附有可供下載的伴隨檔案,內含文本中的程式碼和圖形。

特色:
- 包含實用的教程,旨在提供動手經驗,通過實踐加強學習
- 提供最新 Python 工具的覆蓋,使用現代數據科學家必備的先進函式庫
- 附有源代碼、數據集和圖形的伴隨檔案可供下載