Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions

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Gebonden, blz. | Engels
McGraw-Hill Education | e druk, 2019
ISBN13: 9781260452778
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McGraw-Hill Education e druk, 2019 9781260452778
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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
• 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. 

Specificaties

ISBN13:9781260452778
Taal:Engels
Bindwijze:gebonden

Inhoudsopgave

Preface <br>Introduction <br>1 Uncertainty <br>2 Regression <br>3 Regularization <br>4 Classification <br>5 Experiments <br>6 Controls <br>7 Factorization <br>8 Text as Data <br>9 Nonparametrics <br>10 Artificial Intelligence <br>Bibliography <br>Index <br>

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        Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions