How An Automated Machine Learning Application Can Help You On Your Job?

As said before, automated machine learning actually automates the process: preprocessing data, extracting features, selecting the most productive model and deployment. And all the preprocessing work will become in-built.

As we know, optimality and performance of a machine learning model or a classifier is highly dependent on the hyperparameters values like learning rate, batch size, etc. Therefore, it is a very time-consuming process to manually adjust the hyperparameter values. However, if we use automated machine learning, it will require much less time and effort to select the best hyperparameters for the model.

Automated machine learning saves your time and money while building you classifiers and machine learning models with high efficiency which means they bring you improved models with high accuracy in a short duration of time because a lot of time is saved in the process of preprocessing, developing and testing the machine learning models and by automating the repetitive tasks.

Auto machine learning makes it possible and accessible for companies and organizations in every industry to use the benefits of machine learning.

Not all companies have the budget or facilities to hire data scientists. But using automated machine learning, there will be no need to hire many data scientists or machine learning experts.

Also another advantage of automated machine learning is that it makes the technology available and accessible to everyone in the company or organization.

With automated machine learning, companies don’t need to do any coding and it increases the productivity so much because this way, data scientists and experts have much more time to focus on more important business issues and solve more complex problems as the repetitive process of building the machine learning models is automated.

Automated machine learning is helpful when your company needs some insights from the data but don’t have the machine learning experts to do the job. Because with automated machine learning, you don’t need knowledge of machine learning and it enables everyone in your company to run complex classification models and gives the opportunity to have full access to machine learning technology.

Here are some daily life use cases of automated machine learning applications:

• Hotel: It can easily be determined what people think about your hotel and what the good points and bad points are in most people opinion by giving the reviews and comments to the ML application as data and let it build the best classifier that can classify the good/bad points for you.
• Health care: Allocate appointments requests coming from the patients based on their symptoms to the related doctors. You can build you own model which predicts the suitable doctors for each patient considering their symptoms, but it is very important to allocate the appointments to the right doctors so you need a model with accurate predictions and high accuracy. By using an automated machine learning you can trust the results of the model because you can easily train and test your model in no time and then use your model on new data.
• Twitter: you can categorize the hundreds of tweets that your company receives every day in order to identify people’s feedback and opinion about your performance and improve your company. You can easily make your own classification model with high accuracy by using the automated machine learning application and save a lot of time, effort and money.

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