machine learning


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machine learning

The integration of patterns and cues by a computer so that it can perform certain tasks—e.g., approving a person for credit and reading zip codes from handwriting. Machine learning (ML) is based on a computer’s behaviour, which can be viewed as a function that associates input values (the specifics of a problem to be solved) with the corresponding output values (the decision or action to be made). The most common form of ML is the neural network, which allows for learning through the back-propagation algorithm, using simple calculus to decide how to change the parameters of the neural network.
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"The computer science discipline of machine learning has experienced rapid advancements over the past few years due to the advancements in ML algorithms, the abundance of cheap and fast computing devices, and the access to tremendous amounts of data," according to the Machine Learning Innovation Event Guidebook.
As a result, new and improved data analysis tools like data science and machine learning are necessary to sift through it all to enable an organization to identify ongoing fraudulent activity and proactively respond to risks.
The third step was the analysis of data using graphical interface of WEKA (Rangra and Bansal, 2014) that provided built-in machine learning algorithms for model construction and prediction of grades (Singhal and Jena, 2013).
* Machine Learning as a Service Market Revenue & Growth Rate by Application [Personal, Business] (Historical & Forecast)
Machine learning technology for auditing is still primarily in the research and development phase.
As a result, machine learning projects are being propelled by a number of factors, from identifying cost-saving opportunities to detecting potentially fraudulent transactions.
Training in Machine Learning entails giving a lot of data to the algorithm and allowing it to learn more about the processed information.
The answer lies with greater accessibility of machine learning through user-centric platforms.
The findings are published in a new report from ACCA (the Association of Chartered Certified Accountants) Machine learning: more science than fiction which highlights how new tech developments have a massive potential for the accountancy profession.
KARACHI -- Research reveals machine learning is becoming more relevant for many organizations as the hype increasingly becomes reality In Pakistan, 31 per cent of accountants currently see AI as all or mostly hype, while 65 per cent say that in three years' time it will become a reality, according to global research.
KARACHI -- Research reveals machine learning is becoming more relevant for many organisations as the hype increasingly becomes reality In Pakistan, 31 per cent of accountants currently see AI as all or mostly hype, while 65 per cent say that in three years' time it will become a reality, according to global research.

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