000 02331aam a2200193 4500
008 200228b2019 ||||| |||| 00| 0 eng d
020 _a9781260452778
082 _a658.4033
_bT2B8
100 _aTaddy, Matt
_9394301
245 _aBusiness data science: combining machine learning and economics to optimize, automate, and accelerate business decisions
260 _bMcGraw Hill Education
_c2019
_aChicago
300 _axii, 331 p.
_bIncludes bibliographical references and index
504 _aTable of contents Preface Introduction 1 Uncertainty 2 Regression 3 Regularization 4 Classification 5 Experiments 6 Controls 7 Factorization 8 Text as Data 9 Nonparametrics 10 Artificial Intelligence Bibliography Index
520 _aThe business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go deep on data, or an engineer who wants to learn how to apply Machine Learning to business problems, you’ll find the information, insight, and tools you need to flourish in today’s data-driven economy. You’ll learn how to: • Use the key building blocks of Machine Learning: sparse regularization, out-of-sample validation, and latent factor and topic modeling• Understand how use ML tools in real world business problems, where causation matters more that correlation• Solve data science programs by scripting in the R programming language Today’s business landscape is driven by data and constantly shifting. Companies live and die on their ability to make and implement the right decisions quickly and effectively. Business Data Science is about doing data science right. It’s about the exciting things being done around Big Data to run a flourishing business. It’s about the precepts, principals, and best practices that you need know for best-in-class business data science. https://www.mheducation.co.uk/business-data-science-combining-machine-learning-and-economics-to-optimize-automate-and-9781260452778-emea#tab-label-product-description-title
650 _aMachine learning
_9394302
650 _aDecision making
_9394303
650 _aEconometric models
_9394304
942 _2ddc
_cBK
999 _c214417
_d214417