Machine Learning Interview Guide: Job-oriented questions and answers for data scientists and engineers (English Edition)
暫譯: 機器學習面試指南：針對資料科學家和工程師的工作導向問題與答案（英文版）
Guha, Rehan
- 出版商: Bpb Publications
- 出版日期: 2024-12-26
- 售價: $1,890
- 貴賓價: 9.8 折 $1,852
- 語言: 英文
- 頁數: 348
- 裝訂: Quality Paper - also called trade paper
- ISBN: 936589199X
- ISBN-13: 9789365891997
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相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
商品描述
DESCRIPTION
This book prepares you with the knowledge and skills to confidently excel in the exciting world of machine learning (ML) interviews and launch a successful career in this dynamic field.
This book offers a collection of curated questions and answers to help readers understand key ML concepts, including data processing, classification, regression, clustering, dimensionality reduction, time series, and natural language processing (NLP). While not exhaustive, it focuses on critical topics and common questions often encountered in interviews. The chapters highlight essential concepts without a strict order of importance, reflecting the informal nature of ML interviews. Alongside theoretical knowledge, the book emphasizes the importance of coding and real-world application for a deeper understanding. Practical exercises, coding projects, and continuous learning are crucial to mastering ML concepts.
By mastering the concepts and question-answer formats presented in this book, you will be well-prepared to tackle technical interview challenges and confidently showcase your ML expertise. This guide will help you achieve your career goals in the exciting field of ML.
WHAT YOU WILL LEARN
● Understand core data concepts for ML.
● Master classification and regression algorithms.
● Learn clustering and dimensionality reduction techniques.
● Analyze and forecast time-dependent data with time series analysis.
● Gain NLP proficiency and understand human language with techniques like tokenization, stemming, lemmatization, and advanced language models.
WHO THIS BOOK IS FOR
This book can be used by an interviewee, interviewer, ML professionals who want to learn the interview structure, and ML practitioners who want to refresh their memory and use this book as a reference guide. Managerial and non-technical people can use this book to learn ML in unique ways through a question-answer format.
商品描述(中文翻譯)
書籍描述
本書為您提供知識和技能，使您能夠自信地在令人興奮的機器學習（ML）面試中脫穎而出，並在這個充滿活力的領域展開成功的職業生涯。
本書提供了一系列精心挑選的問題和答案，幫助讀者理解關鍵的機器學習概念，包括數據處理、分類、回歸、聚類、降維、時間序列和自然語言處理（NLP）。雖然內容並不全面，但它專注於面試中經常遇到的關鍵主題和常見問題。各章節突顯了基本概念，並不按照嚴格的重要性順序排列，反映了機器學習面試的非正式性質。除了理論知識外，本書還強調編碼和實際應用的重要性，以便更深入地理解。實踐練習、編碼專案和持續學習對於掌握機器學習概念至關重要。
通過掌握本書中呈現的概念和問答格式，您將能夠充分準備應對技術面試挑戰，自信地展示您的機器學習專業知識。本指南將幫助您在令人興奮的機器學習領域實現職業目標。
您將學到什麼
● 理解機器學習的核心數據概念。
● 精通分類和回歸算法。
● 學習聚類和降維技術。
● 通過時間序列分析分析和預測時間依賴數據。
● 獲得自然語言處理的熟練度，並理解人類語言，使用如標記化、詞幹提取、詞形還原和先進語言模型等技術。
本書適合誰閱讀
本書適合面試者、面試官、希望了解面試結構的機器學習專業人士，以及希望刷新記憶並將本書作為參考指南的機器學習從業者。管理人員和非技術人員也可以通過問答格式以獨特的方式學習機器學習。
