Top 3 Machine Learning Applications in today’s modern world

Top 3 Machine Learning Applications in today’s modern world

Machine learning is truly revolutionary. Currently, it has garnered great attention from the experts for its possible impact on the world’s most popular industries.  From online TV live streaming to prediction engines, its impact can be heard in almost all sectors of our society.

Over the last few years, machine learning has completely dominated computer vision, reaching top scores on many chores and their related contests. Herein, we share few applications of machine learning in today’s modern world.

    1. Image Recognition

Image Recognition is one of the most popular machine learning applications in use today.  Generally, machine learning is used for face detection in an image.  There are several cases where you can identify, categorize and detect the object as a digital image. Apart from identifying an image, it also creates a rational caption with appropriate sentence structure for that image just like a human would do.  This impressive capability of machine learning is already being used in many domains like retail, tourism, gaming, social media, etc.

    2. Speech Recognition

Speech recognition also known as “automatic speech recognition” is the translation of spoken words into text. Here, a software application can diagnose the words enunciated in an audio clip, and then consequently decipher the audio into a text file. This enables the user to control the machine just by speaking. Currently, automatic speech recognition is used in the applications like voice searches, voice user interface and many others.

     3. Medical Diagnosis

The use of path-breaking techniques and tools in machine learning can help in the diagnosis of diseases.  At present, many hospitals are using AI-chatbots with speech recognition ability to recognize patterns in patient symptoms so as to prevent disease and suggest a suitable course of action.  Furthermore, machine learning is being used for data investigations like detection of regularities in the data, analysis of constant data used in ICU, and intellectual alarming resulting in efficient monitoring.

Almost everyone, use some sort of machine learning in their day-to-day lives, and perhaps have no idea that they are driven by it. In the near future, the growth of machine learning models is expected to speed up and create even more innovative applications. Sooner than you think, it will be coming into your life – at least your business life.