Leader03012cam a22003738i 4500
008191107s2019 nyu 000 0 eng
010 a: 2018052621
020 a: 9781260452778 (hardback)
020 a: 1260452778
035 a: (DLC) 20815019
040 a: DLCd: LBb: enge: rdac: DLC
042 a: pcc
080##a: 658
082002: 23
084 a: BUS0000002: bisacsh
1001 a: Taddy, Matte: author
24510a: Business Data Scienceb: combining machine learning and economics to optimize, automate, and accelerate business decisionsc: Matt Taddy
250 a: 1 Edition
263 a: 1903
264 1a: New Yorkb: McGraw-Hill Educationc: 2019
300 a: 331 p.
336 a: tekstsb: txt2: rdacontent
337 a: tiešuztveres videb: n2: rdamedia
338 a: sējumsb: nc2: rdacarrier
520 c: Provided by publisher
520 c: Provided by publisher
996##a: BL


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Use machine learning to understand your customers, frame decisions, and drive value
Spreadsheet models and pivot tables were once the cutting-edge tools of business analysis. But the Big Data revolution has changed everything. Tasks that once required armies of business analysts are being automated and scaled with software, allowing decision makers to go deep into the data to understand how their business is running and what their customers want. This has led to a new superstar job class: the Business Data Scientist who is able to combine science and engineering tools with business and economic context to build data analyses that drive better decisions.
Matt Taddy, developer of the Big Data curriculum at the University of Chicago Booth School of Business, has made a career of training students to use economic principles to connect business decisions to massive data. Business Data Science is an essential primer for those who want to use cutting-edge machine learning to have a real impact on the direction of their business.
With Business Data Science, readers will learn:
  • The key ingredients that make ML work, without getting lost in the hype, and a playbook for how ML and AI can be used to solve business problems
  • A wealth of real-world examples, including applications of text analysis, pricing and demand estimation, A/B experiments, and customer behavior analysis
  • How to move from correlation to causation and to use ML tools to make business decisions
  • An example-driven education in scripting in R, including a wealth of R-code examples, giving you a launch pad for your own work
  • Scalable frameworks ideal for modern cloud computing environments
With Business Data Science you have everything you need to connect business problems to data and drive decisions with data analysis. You'll understand your customers better, make more informed business decisions, achieve maximum value--and thrive in today's data-driven economy.




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