Beschreibung Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions. 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, youll find the information, insight, and tools you need to flourish in todays data-driven economy. Youll 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 languageTodays 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. Its about the exciting things being done around Big Data to run a flourishing business. Its about the precepts, principals, and best practices that you need know for best-in-class business data science. 
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Business Data Science: Combining Machine Learning and ~ Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions by Matt Taddy English / August 2nd, 2019 / ISBN: 1260452778 / 352 pages / EPUB (True/Retail Copy) / 24.54 MB Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements .
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An executive’s guide to machine learning / McKinsey ~ How are traditional industries using machine learning to gather fresh business insights? Well, let’s start with sports. This past spring, contenders for the US National Basketball Association championship relied on the analytics of Second Spectrum, a California machine-learning start-up. By digitizing the past few seasons’ games, it has created predictive models that allow a coach to disti
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Python Machine Learning - W3Schools ~ Machine Learning is making the computer learn from studying data and statistics. Machine Learning is a step into the direction of artificial intelligence (AI). Machine Learning is a program that analyses data and learns to predict the outcome. Where To Start? In this tutorial we will go back to mathematics and study statistics, and how to calculate important numbers based on data sets. We will .
Machine learning - Wikipedia ~ Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence.Machine learning algorithms build a model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so.Machine learning algorithms are used in a wide variety of .
What is Data Science? - University of California, Berkeley ~ Effective data scientists are able to identify relevant questions, collect data from a multitude of different data sources, organize the information, translate results into solutions, and communicate their findings in a way that positively affects business decisions. These skills are required in almost all industries, causing skilled data scientists to be increasingly valuable to companies.
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Coursera for Business / Employee Training and Development ~ Data Science for Business Analysts. This Course Collection helps Analysts learn to translate their organization’s data into reports and simple visualizations to communicate findings. Courses Include: Introduction to Data Analytics for Business; Fundamentals of Visualization with Tableau; Excel Skills for Business: Intermediate II; Information Visualization: Applied Perception; Model Thinking .