Business data science : combining machine learning and economics to optimize, automate, and accelerate business decisions / Matt Taddy
Material type: TextPublication details: New York McGraw Hill 2019Description: 331 pISBN:- 9781260452778
- 1260452778
- 658.4033 TAD-M
- HD30.23Â .T324 2019
- BUS000000
Item type | Current library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|---|
Books | BITS Pilani Hyderabad | 650 | General Stack (For lending) | 658.4033 TAD-M (Browse shelf(Opens below)) | INR 3366.00. | Available | 48905 |
Browsing BITS Pilani Hyderabad shelves, Shelving location: General Stack (For lending), Collection: 650 Close shelf browser (Hides shelf browser)
658.4033 SAM-W Managerial economics | 658.4033 SAR-S Out - think : | 658.4033 SIM-P Analytics : | 658.4033 TAD-M Business data science : combining machine learning and economics to optimize, automate, and accelerate business decisions / | 658.4033 TUL-P Quantitative techniques / | 658.4033 VOH-N Quantitative techniques in management / | 658.4033 VOH-R Mechanism design : |
Summary: Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Use machine learning to understand your customers, frame decisions, and drive value The 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: " se 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.
"Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Use machine learning to understand your customers, frame decisions, and drive value The 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. 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"--
"Combining machine learning and economics to optimize, automate, and accelerate business decisions"--
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