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The lowest-priced item that has been used or worn previously. The item may have some signs of cosmetic wear, but is fully operational and functions as intended. This item may be a floor model or store return that has been used. See details for description of any imperfections. Verified purchase: Yes Condition: Pre-owned. Skip to main content. About this product. Pre-owned: Lowest price The lowest-priced item that has been used or worn previously. Text will be unmarked. Analysis Of The Novel Orleanna Price And.

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Machine learning is the science of getting computers to act without being explicitly programmed.

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In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it.

Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine Analysis Of The Novel Orleanna Price And techniques, Annd gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition.

The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots perception, controltext understanding web search, anti-spamcomputer vision, medical informatics, audio, database mining, and other areas.

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Welcome to Machine Learning! In this module, we introduce the core idea of teaching a computer to learn concepts using data—without being explicitly programmed.

The Course Wiki is under construction. Please visit the resources tab for the most complete and up-to-date information. Linear regression predicts a real-valued output based on an input value. We discuss the application of linear regression to housing price prediction, present the notion of a cost function, and introduce the gradient descent Anv for learning.]