Machine Learning Applications in Real World!

As we progress into the digital world, one of the modern inventions we see is the creation and application of machine learning. This practice has already evolved and made its way into our daily lives. 61% of marketers claim that ML is one of the most significant aspects of their data analysis strategy. 80% of businesses say that ML boosts productivity and 97% of mobile users are using AI-powered speech recognition on a daily basis. From health care sectors, finance to transportation and Cybersecurity, ML is everywhere and hence one cannot deny its importance and role in our progress.

Let us understand the real-world machine learning applications to see how far it has seeped into our lives.

Medical Diagnosis

ML uses a variety of tools to help solve prognostic and diagnostic problems in a variety of healthcare domains. Extracting medical knowledge for therapy, planning, and research purposes along with patient management are some examples of machine learning applications. The algorithms can help detect irregularities in data, interpret incomplete data, and also alert for any alarming situation for effective and efficient monitoring.

Social Media

Many of us are addicted to social media platforms and consume a huge amount of data every day. It is an efficient way to learn new things, network with your friends, and stay up to date regarding current events. ML helps in the apt development of social media applications for a superior user experience. Apps like Facebook keep track of your friends and the profiles you frequent regularly to suggest people with whom you can be friends.

Financial Services

ML has a lot of potential for this field as well as it can help banks and other financial institutions make better decisions. From tracking spending patterns of customers to performing market analysis, you can do it all using ML algorithms.

Prediction

This is one of the most astounding applications of machine learning. Consider examining the probability of a loan applicant faulting the loan payment. To reach a conclusion, the algorithm first needs to classify the available data and then make an analysis based on that.

Product Recommendation

Machine learning needs no introduction to the field of online shopping. You might have experienced being suggested certain products based on your search and shopping history which is all the magic of ML. These recommendations are construed based on the things you have wish-listed, added to cart, or finally bought. All this happens because ML algorithms run at the backend and play a huge role in helping businesses succeed.

Begin your ML Journey Today

ML is an incredible breakthrough in the field of AI and is predicted to grow by 60% by the end of this year. So if you want to take advantage of the growth ML and AI are experiencing then you should join a machine learning bootcamp. When we talk about the best ones in the Bay area, SynergisticIT sure comes on top of the list. Their curriculum is designed for students who want to build a robust career and get hired by top IT companies. The instructors allot real project work to help each student gain industry experience and prepare them for the upcoming challenges. They are the best programmers in the Bay Area so sign up today!

Also, Read This Blog: Machine Learning for Developers