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SmartData Collective > Exclusive > Fascinating Impact of Machine Learning on Streamlining App Development
ExclusiveMachine Learning

Fascinating Impact of Machine Learning on Streamlining App Development

Machine learning has become very important in the field of app development.

Sean Parker
Sean Parker
6 Min Read
machine learning and app development
Shutterstock Photo License - By Konstantin Savusia
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Machine learning has made app development much easier than ever, even for people without previous coding experience.

Contents
Where Machine Learning and App Building MeetsTips on Using Machine Learning for App DevelopmentPopular Apps that Use Machine LearningWhat to Expect in App Development?

Once upon a time, coding and developing seemed like it was something hard and far-fetched for anyone with no previous experience. Only those who studied software building, coding, and development could do this, but this isn’t the case anymore. 

With machine learning, app development has become streamlined so much that, most people can use software to create apps without previous coding knowledge. For instance, with a news app maker, you can build your news app, add content and upload it for public download; and it would look just like a professional one would.

You need to know as much as possible about the app development process before you can appreciate the need for machine learning solutions. Learning about issues like app development cost factors and optimization can help.

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Let’s take a closer look at machine learning and app development. 

Where Machine Learning and App Building Meets

Machine learning is a subfield of artificial intelligence and is now used in a wide range of industries and companies. What separates it from other forms of coding is that it creates an algorithm that is constantly learning, so computers and websites automatically learn from past activities. This helps the website to determine future behavior, pick out anomalies, compare them to history and create a pattern. It also helps reduce the amount of development mistakes when creating a new app.

Machine learning helps websites work and make decisions with very little human intervention. Now that there is machine learning in app development rather than only in websites, it has led to high intelligence in mobile apps. Now, anyone can create a mobile app using a machine learning mobile app.

The tasks can be completed without any special programming, and there is no coding experience required. Since machine learning apps are already intelligent, they can learn from your inputs and decisions, using these to create new apps. This is the main impact of machine learning on app development.

Because of this impact, it has taken app development down from something that only a few individuals can do to what anyone can do. 

Tips on Using Machine Learning for App Development

If you have an app builder software that runs on machine learning for instance, like the news app maker example mentioned earlier, you can build different kinds of apps just like you’re creating a project. You can add icons, selections, categories, and content through that software, and upload your app online for anyone to download.

Thus, app development is more organized, modernized, and time-saving than it used to be. You can make more money from your app without hiring a coder, and many of these ML platforms come with support for their users, so you have someone to turn to when something is wrong or confusing.

And, you don’t have to spend months trying to learn how to code too. Here are some tips to keep in mind when building an app with machine learning-based software.

  • Focus on simplicity and convenience.
  • Don’t make the search options confusing and time-consuming.
  • Activate many forms of collecting and analyzing data.
  • Start with easy apps that machine learning works well with, like news apps or e-commerce apps.
  • Always test the app before you launch it.
  • The prediction accuracy of your app would only depend on whether the data is also accurate.
  • Use all the information you can gather so the machine would learn from it.
  • Don’t put yourself under pressure but follow the simple process.

Popular Apps that Use Machine Learning

You would find that many popular apps out there use machine learning, so it isn’t only something that has made app development easier for those with no previous experience. Some of these popular and high capacity apps made with machine learning include:

  • Netflix.
  • Snapchat.
  • Google Maps.
  • Uber.
  • Tinder.
  • Oval Money.
  • Dango.
  • Facebook.
  • eBay Bot.

Machine learning can also be applied in different areas, which means you can build an app regardless of what you’re working on. They include:

  • News.
  • E-Commerce.
  • Health.
  • Financial assistance. 

You simply have to find a reliable app builder that works with machine learning and is easy to understand.

What to Expect in App Development?

Although you now have the option to build your app with machine learning and offer particular content and services to the public, it’s important to keep a few things in mind. You should consider what you should invest in alongside a machine learning software for your app, and keep cloud storage so you never lose anything.

Although it might be a bit overwhelming, these are some things you have to think of while you build your app. App development would come with a lot of decision-making and challenges, but whatever you’re trying to build, focus on what works best for the prospective users of the app.

TAGGED:app developmentdata-driven app developmentdata-driven software development
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BySean Parker
Sean Parker is an entrepreneur and content marketer with over 5 years of experience in SEO, Creative Writing and Digital Marketing with Rank Media. He has worked with several clients from all over the globe to offer his services in various domains with a proven track record of success.

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