According to research by IDC, applications incorporating advanced and predictive analytics, including machine learning, will grow 65 percent faster than apps without predictive functionality.
Machine learning (ML) has transformed the way technology interacts with users. From a monotonous question-answer regime, now we have moved to more conversational and learning algorithms and it is quite interesting.
What is machine learning?
Machine Learning (ML) is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
In other words, Machine Learning (ML) helps the machine learn from its experience so that it can behave like a human and improve over the course of time.
ML focuses on the development of programs that can access data and be used by the computers to continuously learn. The process of learning begins with observations or data, such as direct experience, or instruction, to look for patterns in data and make better decisions in the future based on the examples that we provide.
The primary aim is to allow the computers to learn automatically without human intervention or assistance, and adjust actions accordingly. This improves the conversation flow, increases the efficiency of the algorithm and ensures an improved user experience.
How does Machine Learning help?
If there is data that can be segregated based on location, physical aspects or genetics then machines can be used to give a whole new user experience.
The core idea is to give each individual an experience based on their own behavioral aspects outside a specific target audience. Simply put, human behavioral data is fed as context to algorithms which generate knowledge. An interface communicates this knowledge to enrich the user experience.
This results in the fact that advertising and product recommendations are all tailored to unique customer profiles based on historical browsing trends and buying behaviour.
At a time when IoT is driving the world forward and lives have become fast-paced on its account, the customised user experience that Machine Learning (ML) offers is an amazing boon.
A good user experience provides good information, nice visuals and interactive design, and a strong impact. But indulgence of ML improves the experience exponentially.
ML is not only refining the relationship between humans and machines but it is redefining the user experience and Android keyboard auto-correction function and Apple Maps suggestions for destinations and stops are just basic practical examples of implementation of ML in real life.
Combined with such amazing advancements in the field of AI, data mining and voice recognition, users will have a "friend" in the machines. Rest assured, machines have begun to learn, we just need to ensure humans don't stop.
Machine Learning (ML) helps the machine learn from its experience so that it can behave like a human and improve over the course of time and it has transformed the way technology interacts with users from a monotonous question-answer regime, now we have moved to more conversational and learning algorithms and it is quite interesting.