Ace the Data Science Interview: 201 Real Interview Questions (Paperback)
暫譯: 掌握資料科學面試：201 道真實面試問題 (平裝本)
Nick Singh, Kevin Huo
- 出版日期: 2021-08-11
- 售價: $1,950
- 貴賓價: 9.8 折 $1,911
- 語言: 英文
- 頁數: 301
- ISBN: 0578973839
- ISBN-13: 9780578973838
-
相關分類:
Data Science、面試技巧
無法訂購
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商品描述
Authored by two Ex-Facebook employees, Ace the Data Science Interview is the best way to prepare for Data Science, Data Analyst, and Machine Learning interviews, so that you can land your dream job at FAANG, tech startups, or Wall Street.
What's inside this 301 page book?
-201 real Data Science interview questions asked by Facebook, Google, Amazon, Netflix, Stripe, Two Sigma, Citadel and more — with detailed step-by-step solutions!
-Questions cover the most frequently-tested topics in data interviews: Probability, Statistics, Machine Learning, SQL & Database Design, Coding (Python), Product Analytics, and A/B Testing
-Each chapter has a brief crash-course on the most important concepts and formulas to review
-Learn how to solve open-ended case study questions that combine product-sense, business intuition, and statistical modelling skills, and practice with case interviews from Airbnb, Instagram, & Accenture
-Learn how to break into Data Science, with tips on crafting your resume, creating kick-ass portfolio projects, sending networking cold emails, and better telling your story during behavioral interviews
Praise for Ace the Data Science Interview:
"The advice in this book directly helped me land my dream job"
— Advitya Gemawat, ML Engineer, Microsoft
“FINALLY! Cracking the Coding Interview but for Data Science & ML!”
— Jack Morris, AI Resident, Google
"Super helpful career advice on breaking into data & landing your first job in the field"
— Prithika Hariharan, President of Waterloo Data Science Club; Data Science Intern, Wish
“An invaluable resource for the Data Science & ML community”
— Aishwarya Srinivasan, AI & ML Innovation Leader, IBM
“Solving the 201 interview questions is helpful for people in ALL industries, not just tech!”
— Lars Hulstaert, Senior Data Scientist, Johnson & Johnson
“The authors explain exactly what hiring managers look for — a must read for any data job seeker”
— Michelle Scarbrough, Former Data Analytics Manager, F500 Co.
商品描述(中文翻譯)
由兩位前 Facebook 員工撰寫的《Ace the Data Science Interview》是準備數據科學、數據分析師和機器學習面試的最佳方式，幫助你在 FAANG、科技新創公司或華爾街找到夢想工作。
這本 301 頁的書裡有什麼內容？
- 201 道真實的數據科學面試問題，這些問題來自 Facebook、Google、Amazon、Netflix、Stripe、Two Sigma、Citadel 等公司，並附有詳細的逐步解答！
- 問題涵蓋數據面試中最常考的主題：機率、統計、機器學習、SQL 和數據庫設計、編程（Python）、產品分析和 A/B 測試。
- 每一章都有關鍵概念和公式的簡要速成課程以供複習。
- 學習如何解決結合產品感知、商業直覺和統計建模技能的開放式案例研究問題，並練習來自 Airbnb、Instagram 和 Accenture 的案例面試。
- 學習如何進入數據科學領域，包括撰寫履歷的技巧、創建出色的作品集項目、發送網絡冷郵件，以及在行為面試中更好地講述你的故事。
對《Ace the Data Science Interview》的讚譽：
「這本書中的建議直接幫助我找到夢想工作。」
— Advitya Gemawat，微軟機器學習工程師
「終於！破解編程面試，但針對數據科學和機器學習！」
— Jack Morris，Google AI 住院醫師
「對於進入數據領域和找到第一份工作的職業建議非常有幫助。」
— Prithika Hariharan，滑鐵盧數據科學俱樂部會長；Wish 數據科學實習生
「對於數據科學和機器學習社群來說，這是一本無價的資源。」
— Aishwarya Srinivasan，IBM AI 和機器學習創新領導者
「解決這 201 道面試問題對所有行業的人都有幫助，而不僅僅是科技行業！」
— Lars Hulstaert，強生資深數據科學家
「作者清楚解釋了招聘經理所尋找的內容——對於任何數據求職者來說，這是必讀之作。」
— Michelle Scarbrough，前 F500 公司的數據分析經理
作者簡介
About Kevin Huo:
Kevin Huo is currently a Data Scientist at a Hedge Fund, and previously was a Data Scientist at Facebook working on Facebook Groups. He holds a degree in Computer Science from the University of Pennsylvania and a degree in Business from Wharton. In college he interned at Facebook, Bloomberg, and on Wall Street.
About Nick Singh:
Nick Singh started his career as a Software Engineer on Facebook's Growth Team, and most recently, worked at SafeGraph, a geospatial analytics startup. He holds a degree in Systems Engineering with a minor in Computer Science from the University of Virginia. In college, he interned at Microsoft and Google. His career advice has been read by over 10 million people on LinkedIn.
作者簡介(中文翻譯)
關於 Kevin Huo：
Kevin Huo 目前是一家對沖基金的數據科學家，之前曾在 Facebook 擔任數據科學家，專注於 Facebook 群組。他擁有賓夕法尼亞大學的計算機科學學位以及沃頓商學院的商業學位。在大學期間，他曾在 Facebook、Bloomberg 和華爾街實習。
關於 Nick Singh：
Nick Singh 的職業生涯始於 Facebook 的成長團隊擔任軟體工程師，最近則在一家地理空間分析初創公司 SafeGraph 工作。他擁有維吉尼亞大學的系統工程學位，並輔修計算機科學。在大學期間，他曾在 Microsoft 和 Google 實習。他的職業建議在 LinkedIn 上被超過 1000 萬人閱讀。
