| #1060034 in Books | Chapman and Hall/CRC | 2009-04-01 | Ingredients: Example Ingredients | Original language:English | PDF # 1 | .90 x6.30 x9.30l,1.55 | File Name: 1420067184 | 406 pages |
||2 of 2 people found the following review helpful.| Great machine learning book for those with rusty match skills or less math inclined.|By R. Ritchey|For those diving into machine learning who are rusty at math or not a math expert this is a solid, understandable book on the topic. It covers a wide variety of machine learning algorithms, and while it does include some math, the math isn't the primary and only focus like other|||… liberally illustrated with many programming examples, using Python. It includes a basic primer on Python and has an accompanying website.|It has excellent breadth, and is comprehensive in terms of the topics it covers, both in terms of methods and i
Traditional books on machine learning can be divided into two groups ― those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the background needed to understand how and why these algorithms work. Machine Learning: An Alg...
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You easily download any file type for your gadget.Machine Learning: An Algorithmic Perspective (Chapman & Hall/Crc Machine Learning & Pattern Recognition) | Stephen Marsland. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.
