Data Science and Machine Learning Interview Questions Using R: Crack the Data Scientist and Machine Learning Engineers Interviews with Ease (English E
暫譯: 使用 R 的資料科學與機器學習面試問題：輕鬆破解資料科學家與機器學習工程師的面試

Narayanan, Vishwanathan

Data Science and Machine Learning Interview Questions Using R: Crack the Data Scientist and Machine Learning Engineers Interviews with Ease (English E

商品描述

Get answers to frequently asked questions on Data Science and Machine Learning using R

Key Features
  • Understand the capabilities of the R programming language
  • Most of the machine learning algorithms and their R implementation covered in depth
  • Answers on conceptual data science concepts are also covered

    • Description
    This book prepares you for the Data Scientist and Machine Learning Engineer interview w.r.t. R programming language.
    The book is divided into various parts, making it easy for you to remember and associate with the questions asked in an interview. It covers multiple possible transformations and data filtering techniques in depth. You will be able to create visualizations like graphs and charts using your data. You will also see some examples of how to build complex charts with this data. This book covers the frequently asked interview questions and shares insights on the kind of answers that will help you get this job.
    By the end of this book, you will not only crack the interview but will also have a solid command of the concepts of Data Science as well as R programming.

    What will you learn
  • Get answers to the basics, intermediate and advanced questions on R programming
  • Understand the transformation and filtering capabilities of R
  • Know how to perform visualization using R

    • Who this book is for
    This book is a must for anyone interested in Data Science and Machine Learning. Anyone who wants to clear the interview can use it as a last-minute revision guide.

    Table of Contents
    1. Data Science basic questions and terms
    2. R programming questions
    3. GGPLOT Questions
    4. Statistics with excel sheet

    About the Author
    Vishwanathan Narayanan has 18 years of experience in the field of information technology and data analysis. He made many enterprise-level applications with stable output and scalability.Advanced level data analysis for complex problems using both R and Python has been the key area of work for many years. Extreme programmer on Java, Python, R, and many more technologies

    商品描述(中文翻譯)

    獲得有關使用 R 的資料科學和機器學習的常見問題解答

    主要特點

  • 了解 R 程式語言的能力
  • 深入涵蓋大多數機器學習演算法及其 R 實作
  • 也涵蓋有關概念性資料科學概念的解答

    • 描述
    本書為您準備有關 R 程式語言的資料科學家和機器學習工程師面試。
    本書分為多個部分，使您能夠輕鬆記住並與面試中提出的問題聯繫起來。它深入涵蓋多種可能的轉換和資料過濾技術。您將能夠使用您的資料創建圖形和圖表等可視化效果。您還將看到一些如何使用這些資料構建複雜圖表的範例。本書涵蓋了常見的面試問題，並分享了有助於您獲得這份工作的答案見解。
    在本書結束時，您不僅能夠成功通過面試，還將對資料科學和 R 程式語言的概念有扎實的掌握。

    您將學到什麼
  • 獲得有關 R 程式語言的基礎、中級和高級問題的解答
  • 了解 R 的轉換和過濾能力
  • 知道如何使用 R 進行可視化

    • 本書適合誰
    本書是任何對資料科學和機器學習感興趣的人的必備書籍。任何想要通過面試的人都可以將其用作最後的複習指南。

    目錄
    1. 資料科學基本問題和術語
    2. R 程式語言問題
    3. GGPLOT 問題
    4. 使用 Excel 表格的統計

    關於作者
    Vishwanathan Narayanan 在資訊技術和資料分析領域擁有 18 年的經驗。他開發了許多具有穩定輸出和可擴展性的企業級應用程式。多年來，使用 R 和 Python 進行複雜問題的高級資料分析一直是他的主要工作領域。他是 Java、Python、R 及其他多種技術的極限程式設計師。

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