Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks

Villalobos Alva, Jalil

  • 出版商: Apress
  • 出版日期: 2024-07-05
  • 售價: $2,200
  • 貴賓價: 9.5$2,090
  • 語言: 英文
  • 頁數: 462
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868803475
  • ISBN-13: 9798868803475
  • 相關分類: Data ScienceMachine Learning
  • 立即出貨 (庫存=1)

商品描述

Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. This second edition introduces the latest LLM Wolfram capabilities, delves into the exploration of data types in Mathematica, covers key programming concepts, and includes code performance and debugging techniques for code optimization.

You'll gain a deeper understanding of data science from a theoretical and practical perspective using Mathematica and the Wolfram Language. Learning this language makes your data science code better because it is very intuitive and comes with pre-existing functions that can provide a welcoming experience for those who use other programming languages. Existing topics have been reorganized for better context and to accommodate the introduction of Notebook styles. The book also incorporates new functionalities in code versions 13 and 14 for imported and exported data.

You'll see how to use Mathematica, where data management and mathematical computations are needed. Along the way, you'll appreciate how Mathematica provides an entirely integrated platform: its symbolic and numerical calculation result in a mized syntax, allowing it to carry out various processes without superfluous lines of code. You'll learn to use its notebooks as a standard format, which also serves to create detailed reports of the processes carried out.

What You Will Learn

  • Create datasets, work with data frames, and create tables
  • Import, export, analyze, and visualize data
  • Work with the Wolfram data repository
  • Build reports on the analysis
  • Use Mathematica for machine learning, with different algorithms, including linear, multiple, and logistic regression; decision trees; and data clustering

Who This Book Is For

Data scientists who are new to using Wolfram and Mathematica as a programming language or tool. Programmers should have some prior programming experience, but can be new to the Wolfram language.

商品描述(中文翻譯)

增強您的資料科學程式設計和分析能力,使用 Wolfram 程式語言和 Mathematica,這是一套應用數學工具。第二版介紹了最新的 LLM Wolfram 功能,深入探討 Mathematica 中的資料類型,涵蓋關鍵的程式設計概念,並包括程式碼性能和除錯技術以進行程式碼優化。

您將從理論和實踐的角度深入了解資料科學,使用 Mathematica 和 Wolfram Language。學習這種語言能使您的資料科學程式碼更佳,因為它非常直觀,並且提供了現成的函數,能為使用其他程式語言的人提供友好的體驗。現有主題已重新組織,以提供更好的上下文並適應 Notebook 樣式的引入。本書還納入了版本 13 和 14 中對於進口和出口資料的新功能。

您將學會如何使用 Mathematica,當需要資料管理和數學計算時。在這個過程中,您將欣賞 Mathematica 提供的完全整合的平台:其符號和數值計算結果以混合語法呈現,允許它在不需要冗餘程式碼的情況下執行各種過程。您將學會使用其筆記本作為標準格式,這也用於創建詳細的過程報告。

您將學到的內容:
- 創建資料集,處理資料框,並創建表格
- 匯入、匯出、分析和視覺化資料
- 使用 Wolfram 資料庫
- 建立分析報告
- 使用 Mathematica 進行機器學習,包含不同的演算法,如線性回歸、多重回歸和邏輯回歸;決策樹;以及資料聚類

本書適合對象:
對使用 Wolfram 和 Mathematica 作為程式語言或工具的新手資料科學家。程式設計師應具備一些先前的程式設計經驗,但可以是 Wolfram 語言的新手。

作者簡介

Jalil Villalobos Alva is a Wolfram language programmer and Mathematica user. He graduated with a degree in engineering physics from the Universidad Iberoamericana in Mexico City. His research background comprises quantum physics, bionformatics, proteomics, and protein design. His academic interests cover the topics of quantum technology, bioinformatics, machine learning, artificial intelligence, stochastic processes, and space engineering. During his idle hours he likes to play soccer, swim, and listen to music.

作者簡介(中文翻譯)

Jalil Villalobos Alva 是一位 Wolfram 語言程式設計師和 Mathematica 使用者。他畢業於墨西哥城的 Universidad Iberoamericana,獲得工程物理學位。他的研究背景包括量子物理、生物資訊學、蛋白質組學和蛋白質設計。他的學術興趣涵蓋量子技術、生物資訊學、機器學習、人工智慧、隨機過程和太空工程等主題。在閒暇時間,他喜歡踢足球、游泳和聽音樂。