By Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Bashier Mohammed Bashier
Machine studying, one of many most sensible rising sciences, has an incredibly vast diversity of functions. despite the fact that, many books at the topic offer just a theoretical procedure, making it tricky for a newcomer to know the subject matter. This publication offers a more effective strategy via explaining the suggestions of desktop studying algorithms and describing the parts of software for every set of rules, utilizing easy sensible examples to illustrate every one set of rules and displaying how various matters on the topic of those algorithms are applied.
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Extra info for Machine learning: algorithms and applications
These features can be used to build a classifier that can identify whether the particular document belongs to the author or not. It is possible that the two classifiers are joined together to develop a new classifier with improved performance for author identification. Another area where such data can be helpful in solving the problem is in the identification of unwanted material in a video. In order to identify unwanted material, we can approach the problem in two ways: Use video images and apply machine learning techniques on image data to make a model to identify unwanted material in the video.
1 Where Text and Image Data Can Be Used Together It is possible that in order to solve a particular problem, both text and image data are used. For example, the problem of author identification for a particular written corpus of data can be solved in two ways: Handwriting detection: The known corpus of handwritten data can be used to make a classifier that can assign a document to an author based on different features. Writing style detection: This is a text mining problem. We want to find features that are related to a peculiar author using known documents attributed to the author.
In the industry, it is clear that there is ongoing competition to manufacture driverless cars running on the roads as early as possible. According to the BBC* report titled Toyota promises driverless cars on roads by 2020, different competitors are on the bandwagon and announcing their targets for driverless cars. The article states: Toyota is the latest car company to push forward with plans for an autonomous vehicle, offering fresh competition to Silicon Valley companies such as Google, Cruise and Tesla.