Machine Learning is Hilarious

Machine Learning is a type of Artificial Intelligence (AI). The field is quite vast and is expanding rapidly, being continually partitioned and sub-partitioned into different specialties. Machine learning has been around for a while, so even if you haven’t worked on it as a developer, you’re probably very familiar with it as a consumer.

Did you notice that Facebook has developed an ability to recognize your friends in your photographs? In the old days, Facebook used to make you to tag your friends in photos by clicking on them and typing in their name. Now as soon as you upload a photo, Facebook tags everyone for you like magic. Yes, You are absolutely right - that's an example of machine learning.

When you add something to your cart in Amazon, and see a list of other recommended products that you might also like - that's an example of machine learning. Essentially, machine learning is the development of computer programs that can learn and create their own rules, based on data.

Machine Learning (ML) is coming into its own. With a growing recognition ML can play a key role in a wide range of critical applications, such as data mining, natural language processing, image recognition, and expert systems. Although a subarea of AI, machine learning also intersects broadly with other fields, especially statistics, but also mathematics, physics, computer science and more.

Why should you care about machine learning now? With the current increase in IoT (Internet of Things) and connected devices, we now have access to so much more data - and along with it, an increased need to manage and understand what we know.

In 2017, Facebook Messenger launched with chatbots, making it possible for companies and consumers to engage using bots. Essentially, this means that when a customer visits your Facebook page, they can hit Message as if sending a direct message, and interact right away with AI that can help them make decisions and learn about products. With each interaction, the chatbot improves. These chatbots not only send text, but also images and call-to-action buttons which means that they can handle automated customer service, e-commerce assistance, and even content. As accuracy continues to improve, this begins to allow consumers to quickly and easily get the information and service they’re looking for.

Machine Learning has also been introduced in Speech Recognition like SIRI (Apple) and Cortana (Microsoft) whereas PAYPAL uses Machine Learning to detect fraud within banks with Risk Management algorithms. The same algorithm also helps in Credit Card fraud detection.

Apart from the above mentioned areas, Machine Learning is also getting tremendous success that I am aware of in Medical Diagnosis, Optical Character Recognition, Spam Filtering, Topic Spotting, Customer Segmentation, Stock Trading, Shape Detection - Instaviz iPhone App, and Weather Predication.