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MACHINE LEARNING: Intelligence Derived From Data free ebook download

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Author(s):	Prabhu TL

Date:	2021	Format:	epub	Language:	English	ISBN/ASIN:	B0954H2CQT
Pages:	135	OCR:		Quality:		ISBN13:
Uploader:	alex21s	Upload Date:	6/4/2021 6:36:14 PM

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Machine Learning is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world interactions.

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.
The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers to learn automatically without human intervention or assistance and adjust actions accordingly.
But, using the classic algorithms of machine learning, text is considered as a sequence of keywords  instead, an approach based on semantic analysis mimics the human ability to understand the meaning of a text.
Because of new computing technologies, machine learning today is not like machine learning of the past. It was born from pattern recognition and the theory that computers can learn without being programmed to perform specific tasks  researchers interested in artificial intelligence wanted to see if computers could learn from data. The iterative aspect of machine learning is important because as models are exposed to new data, they are able to independently adapt. They learn from previous computations to produce reliable, repeatable decisions and results. Its a science thats not new  but one that has gained fresh momentum.
While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data  over and over, faster and faster  is a recent development. Here are a few widely publicized examples of machine learning applications you may be familiar with:
The heavily hyped, self-driving Google car? The essence of machine learning.
Online recommendation offers such as those from Amazon and Netflix? Machine learning applications for everyday life.
Knowing what customers are saying about you on Twitter? Machine learning combined with linguistic rule creation.
Fraud detection? One of the more obvious, important uses in our world today.
Resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. Things like growing volumes and varieties of available data, computational processing that is cheaper and more powerful, and affordable data storage.
All of these things mean it's possible to quickly and automatically produce models that can analyze bigger, more complex data and deliver faster, more accurate results  even on a very large scale. And by building precise models, an organization has a better chance of identifying profitable opportunities  or avoiding unknown risks.

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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3006208	Book	https://k2s.cc/file/1d217a6233227/B0954H...		0.00	alex21s

Tags: Data Derived Intelligence LEARNING MACHINE

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MACHINE LEARNING: Intelligence Derived From Data free ebook download

Category: Misc

Description: Click to see full description

Category:
Misc