Machine Learning is the most rapidly growing technology. It is used to solve real-world complex problems which cannot be solved with a traditional approach.

1. Image recognition

Image recognition is quite possibly the most widely recognized utilization of Machine learning. It is used to recognize objects, people, places, digital pictures, and so on. The famous use instance of Image recognition and face recognition is the Automatic friends tagging idea

Facebook gives us features of auto friends tagging ideas. At whatever point we upload a photograph with our Facebook companions/ friends, at that point we consequently get tagging ideas with names. It depends on the Facebook project named "Deep Face”.

2. Speech recognition

While using Google, we get a choice of "Search by voice," it goes under discourse recognition, and it's a well-known use of machine learning. Speech recognition is a process of changing over voice instruction into text, and it is also called

"speech to text", or "computer speech recognition."

As of now, machine learning algorithms are generally used by different applications of speech recognition. Google Assistant, Siri, Cortana, and Alexa are utilizing speech recognition technology to adhere to the voice directions/ instruction.

3. Traffic Prediction

If we need to visit another spot, we take the help of Google Maps, which shows us the right way with the shortest route and predicts the traffic conditions.

4. Product recommendation

Machine learning is broadly utilized by different e-commerce and entertainment organizations like Amazon, Netflix, and so forth, for product search to the customers. When we look for some product on Amazon, at that point, we begin getting a notice for a similar item while surfing on a similar website and this is a direct result of machine learning.

Google understands the customer premium using different machine learning algorithms and recommends the product according to customer interest.

5. Self-driving car

Perhaps the most energizing use of machine learning is self-driving cars. machine-learning assumes a huge part in a self-driving car. Tesla, the most well-known car-producing company is working away at self-driving cars. It is using an unsupervised learning technique to train the car models to identify people and objects while driving.

7. Stock marketing trading

Machine learning is broadly utilized in stock marketing trading. In the stock market, there is consistently a risk of ups and downs in shares, so for this machine learning's long short-term memory neural networks are used for the predictions of stock market trends.

8. Medical Diagnosis

In medical science, machine learning is used for disease analysis. With this, medical innovation is becoming very fast and ready to build 3D models that can predict the specific situation of injuries in the mind.

It helps in discovering brain tumours and other brain-related diseases without any problem.

9. Automatic Language Translation

These days, if we visit another place and we don't know about the language then it's not a problem at all. Machine learning helps us by changing the text into our known languages. Google's GNMT (Google Neural Machine Translation) provides this feature, which is a Neural Machine Learning that translates the text into our familiar language, and it is called automatic translation.

The technology behind the automatic translation is a sequence to the sequence learning algorithm, which is used with image recognition and translates the text starting with one language then onto another language.

Conclusion :

As the demand for AI and machine learning has increased, organizations require professionals with in-and-out knowledge of these growing technologies. LetsUpgrade has launched PGP Full Stack Program in AIML & Deep Learning that will help you gain expertise in various industry skills and technologies from Python, NLP, speech recognition, to advanced deep learning. This Post Graduate program will help you grow your career in thriving fields like AI, machine learning, and deep learning.