Machine learning has revolution the way business is done across many sectors and even though some businesses have not yet adopted machine learning for their application they use it even without knowing. An example is the spam filtering service that is offered by email providers which recognizes selected words or patterns then filters them out as spam. Some social media platforms use image or facial recognition technology to enable a user to tag other people on their page. Read more great facts on artificial intelligence consulting, click here.
The uses of machine learning have spread into the medical field where it helps in making accurate medical diagnoses and predictions. It can help in the identification of high-risk patients, make accurate diagnoses, recommend the best medications and even predict readmissions. This information can be obtained from the available data of anonymous patients and the symptoms that they exhibit. The possibility of getting near possible medical diagnoses and better medicine recommendations will aid in faster patient recovery without having to undertake extraneous medications. This will make it possible to improve the health of patients at minimal costs to the client. For more useful reference regarding machine learning consulting companies, have a peek here.
Manual data entry has many demerits such as the possibility of inaccuracy and data duplication but this can be solved by using predictive modelling and machine learning algorithms that can perform time intensive data entry tasks and leave the skilled workers free to concentrate on other activities of the business.
Machine learning has also a huge impact in the financial sector such as in portfolio management, loan underwriting, algorithmic trading and even fraud detection. Machine learning can be used to improve the precision of financial models and rules since they facilitate continual assessments for detecting and analyzing nuances and anomalies.
Spam detection is among the earliest applications of machine learning since a couple of years ago email providers found out that they could utilize rule based methods to filter out spam. However, in the advent of machine learning, spam filters can now create new rules using neural networks like those found in the brain to eliminate spam by recognizing phishing messages and junk mail by just assessing the rules over a huge network of computers.
Machine learning also enhances the efficiency of predictive maintenance in the manufacturing sector. Manufacturing companies normally have corrective and preventive practices in place but these measures are quite costly and at times inefficient. Machine learning can be used in creating very efficient predictive maintenance plans that will significantly reduce the odd of unexpected failures thus decreasing the need for unnecessary maintenance activities. Please view this site http://work.chron.com/learning-10key-adding-machine-26219.html for further details.