One of the top epitomes of the application of machine learning in our daily lives is the AI virtual personal assistants. The smart devices are now taking over the guidance and assistance of our actions replacing the traditional activities of an assistant. Some of the popular Machine Learning based personal assistants that are taking over the world by storm are Alexa, Google Now, Siri. These advanced technology-based assistants have made our lives easier, effortless, and fun.
The modern age would be crippled without Google Maps. It is ‘the’ app that everyone uses to make travelling to unfamiliar places possible. Google collects the data from the GPS to predict factors like traffic, route distance, time, directions, etc., with Machine Learning technology.
Social media is best off with Machine Learning- popular platforms like Facebook now use automatic face detection/ image recognition through DeepFace. DeepFace project by Facebook is a formidable example of the application of Machine Learning. The many other ways where ML is applied are the Automatic Friend Tagging Suggestions, Automatic Tags, Alternate Tags, and more.
The application of Machine Learning in marketing and sales has revolutionized the marketing world. ML analyzes the customer’s purchase history and lists similar products that may interest the customer. It is confidently safe to say that ML successfully predictsbased on past actions for future growth and promotions.
Amongst the advanced innovation of modern technology, self-driving car is probably the most interesting. The functioning of automated cars entirely depends on Machine Learning. The algorithms of machine learning algorithms are used to solve the self-driving car challenges such as car directions, speech and gesture recognition, language detection, etc.
In an age where the world is becoming a market for selling, the need for the right pricing is very crucial. While there are many strategies for pricing, the key is to find the main objective. Hectic market competitions callfor a dynamic pricing and the application of Machine Learning enablesthe designing of competitive pricings by analyzing the buying and selling activities in the market.
