Example of why Machine Learning is important?
Ever thought about learning or pursuing a machine learning course online? Ever thought of taking a certification on the same? Here is an example of why you should learn machine learning right away and give it a try.
Traditional weather forecasting methods which are currently being used relies on a combination of weather observations and data models. Weather is predicted by Meteorologists by collecting as much data as possible sources and then the weather is predicted. Government-backed organisations, such as the National Weather Service (NWS) in the United States of America and the European Centre for Medium-Range Weather Forecasts (ECMWF) from the European countries, all create these models. Meteorologists then develop prediction and forecasts based on models from these mentioned weather agencies, as well as models created by private weather forecasters, that help to get some good results.
There are thousands of automated weather stations around the world that observe weather information and compiles for the prediction model to work flawlessly, also data from radars and satellites are also taken. Thanks to the proliferation of computers to process these models, weather forecasts are now designed with much higher accuracy than they were a century ago. As there is more advancement in computing power, such as the use of supercomputers, means that weather forecasts have continued to become even more accurate and will be more accurate in the future.
Using Machine learning for more accurate forecasting
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Introduction of machine learning into the weather has really improved the weather prediction procedure. Machine learning can be used to process immediate comparisons between historical weather forecasts and observations, it's done within no time. With the use of machine learning, weather models can better account for prediction inaccuracies, such as overestimated rainfall, and produce more accurate predictions. Things are becoming easy to find, all thanks to Machine learning.
Excited about how important Machine Learning is and how it is used to resolve some practical problems? This is just a glance at how powerful machine learning is. The demand is rising in this field. There are many more powerful applications of ML, like using the algorithm on self-driving cars, personal assistants, etc. You can get plenty of free machine learning online tutorial resources from where you can start with. Good Luck!