An extensive introduction to machine learning that unifies inference and probabilistic models. Automated data analysis techniques are necessary given the Web-enabled flood of electronic data we face today. These are provided by machine learning, which creates techniques that can automatically find patterns in data and utilize those patterns to forecast upcoming data. Based on a unified, probabilistic approach, this textbook provides a thorough and self-contained introduction to the area of machine learning.


13500 
  • SKU: 9780262018029
  • Shipping: 
  • Return Policy: The product must be unused, unworn, unwashed and without any flaws. Fashion products can be tried on to see if they fit and will still be considered unworn. If a product is returned to us in an inadequate condition, we reserve the right to send it back to you. The product must include the original tags, user manual, warranty cards, freebies and accessories. The product must be returned in the original and undamaged manufacturer packaging / box. If the product was delivered in a second layer of Romoni Store packaging, it must be returned in the same condition with return shipping label attached. Do not put tape or stickers on the manufacturers box. While you return the item at our hub, please collect the Romoni Store Return Acknowlegement Form from the Hub and fill it in by yourself. Keep one copy to yourself and we will keep another copy of it for the record. Note: It is important to indicate the order number and return tracking number on your return package to avoid any inconvenience/delay in process of your return.


Learn More


Product details

  • Publisher ‏ : ‎ MIT Press; Illustrated edition (24 August 2012)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 1104 pages
  • ISBN-10 ‏ : ‎ 0262018020
  • ISBN-13 ‏ : ‎ 978-0262018029
  • Reading age ‏ : ‎ 18 years and up
  • Item Weight ‏ : ‎ 1 kg 900 g
  • Dimensions ‏ : ‎ 20.96 x 4.55 x 23.55 cm
  • Country of Origin ‏ : ‎ USA
Author
Kevin P. Murphy
Publisher
MIT Press

Related products