Top 10 Machine Learning Applications: A Simple Guide

Introduction

In this technology-driven world, machine learning has been a crucial capability to render electronic devices or intelligent machines. One can ace machine learning skills with immense experience and study. Getting theoretical knowledge also benefits in a certain place, but it’s the hands-on practice that matters the most. There are various machine learning applications and projects that one can focus on. 

What are Machine learning and its applications?

Machine Learning is a buzzing word in the technological world right now, and it marks a big move forward in how machines can learn and what is the use of machine learning. The uses of Machine Learning engineers are high in demand, and this surge is due to emerging technologies and the generation of massive volumes of data, aka Big Data.

The List of machine learning applications and machine learning examples in real life are :

1. Traffic Alerts
2. Social Media
3. Commuting and Transportation
4. Products Recommendations
5. Virtual Personal Assistants
6. Self Driving Cars
7. Dynamic Pricing
8. Google Translate
9. Online Video Streaming
10. Fraud Detection

1. Traffic Alerts

Today, Google Maps is a useful app which we use wherever we go out and need assistance regarding the traffic and the direction. Everyone using maps is getting their location, direction along which they are driving which in turn lets Google gather huge Data about the traffic, which allows them to forecast the upcoming traffic and change your path according to it.

2. Social Media 

One of the most popular implementations of Machine Learning is Automated Friend Tagging options on Facebook or some other social media site. Facebook uses image recognition technology to detect the face of the person which matches it’s database and thus suggests us to tag the person based on the face.

3. Commuting and Transportation 

If you have used an app to book a taxi, you are also using Machine Learning to an extent. It offers a customized application that is special to you as it automatically senses your location and offers choices to either go home or workplace or some other regular position depending on your past habits. With the applications of classification in Machine Learning, there is a 26 per cent hike in Distribution and Pickup.

4. Products Recommendations

Suppose you are searching for an item on Amazon, but you do not purchase it then and there. But the next day, you are watching videos on YouTube and unexpectedly you see an ad for the same thing. You turn to Facebook, there still see the same ad. This happens because Google records your browsing history, and proposes advertisements based on your search history. This is one of the coolest implementations of Machine Learning.

5. Virtual Personal Assistants

As the name suggests, Virtual Personal Assistants assist in locating valuable information, when questioned by text or speech. Recently personal assistants are using Chatbots in various applications and websites. Some of the Implementations of Machine Learning here are:

• Language Detection
• Voice to Text Translation
• Natural Language Recognition
• Document to Speech Translation

6. Self Driving Cars

Machine Learning plays a very important role in Self Driven Cars. The pioneer in this industry and their latest Artificial Intelligence is powered by hardware maker NVIDIA, which is based on an Unsupervised Learning Algorithm.NVIDIA the model runs on Deep Learning and it crowdsources data from all of its cars and its drivers. It uses external sensors and internal sensors which are a part of machine learning iot applications.

7. Dynamic Pricing

Finding the best price for a product or service is a common issue in economic theory. There are a large number of pricing techniques that rely on the goal pursued. Be it a cinema ticket, a plane ticket or taxi fares, everything is dynamically priced. In recent years, artificial intelligence has allowed pricing solutions to track purchasing patterns and decide more competitive commodity prices.

8. Google Translate

Google’s Google Neural Machine Translation is a Neural Machine Learning that operates on thousands of languages and dictionaries, using Natural Language Processing to produce the most precise translation of any sentence or terms. It is one of the best and widely used goals and applications of machine learning.

9. Online Video Streaming

For most of the users, there is no denying that Netflix is the father of the video entertainment world. The Netflix algorithm continuously collects vast volumes of data about users’ habits.

10. Fraud Detection

Since the number of transactions has grown due to a multitude of payment platforms – credit/debit cards, tablets, various wallets, UPI and much more. Around the same time, the sum of criminals has been adept at discovering loopholes. Whenever a customer carries out a transaction–the Machine Learning algorithm thoroughly copy their profile keeping a note of unusual patterns. In Machine Learning, challenges like fraud identification are typically framed as classification problems.

These are the various Machine Learning Applications in the industry.

Conclusion 

We hope this article has made a clear understanding of the various Machine Learning applications along with examples of machine learning applications in the industry and how useful it is for the people.

There are no right or wrong ways of learning AI and ML technologies – the more, the better! These valuable resources can be the starting point for your journey on how to learn Artificial Intelligence and Machine Learning. Do pursuing AI and ML interest you? If you want to step into the world of emerging tech, you can accelerate your career with this Machine Learning And AI Courses by Jigsaw Academy.

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