Machine Learning Doesnt Have To Be Hard

Machine Learning is complex, but it does not have to be hard.

There are many things that we use daily that are very complex, but thanks to many innovations they have become very easy to use and add a lot of value in our daily lives. Take a car for example, there are many complex parts that fit together to provide us with a very useful tool that many of us use almost every day. We know that you need something to fuel your car whether it be gasoline or electricity. We know that we must use a steering where to take us in a certain direction. We know that we must use the gas and break pedal to start and stop. However, most of us don’t know how fix our engine if it breaks or what a catalytic converter is. The point is that no matter how complex a car is most of us can use one easily enough to benefit us in our daily lives.

At Neurales we believe the same thing should be experienced using Artificial Intelligence and Machine Learning.

Many people today consider AI and ML to be as transformative to our lives as electricity was in the early 1920’s. Though It took quite some time for electricity to become widely available and for people to start utilizing it. Today’s access to the utilization of AI and ML is much the same and is only allowed through a massive education barrier to those who are trained in a variety of fields including Data Science, Mathematics, and Software engineering. At Neurales our goal is to create a product that would speed up the transition into truly democratizing AI and ML so that anyone could use it. We are doing just that by providing the ability to use advanced algorithms and data science techniques with zero datascience, mathematics, and coding knowledge by providing an easy workflow in our platform. We know the kind of impact it will have on the daily lives of humans and we want to be able to provide a very intuitive, easy, and effective place for people who aren’t highly trained in very difficult sciences to be able to utilize AI and ML in their careers. Now effectively giving subject matter experts in other areas a place to come and utilize AI and ML without having to spend a large amount of money to do so.

“Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years.” – Andrew Ng

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