What is Machine Learning and Why its Important?

Every day we hear and read about how machine learning is changing the face of technology. From social media to virtual assistants like Siri IoT, Alexa, and even automobiles, algorithms analyze terabytes of data and make faster decisions.

What is Machine learning?

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

Here are a few widely publicized examples of machine learning applications you may be familiar with:
  • The heavily hyped, self-driving Google car? The essence of machine learning.
  • Online recommendation offers such as those from Amazon and Netflix? Machine learning applications for everyday life.
  • Knowing what customers are saying about you on Twitter? Machine learning combined with linguistic rule creation.
  • Fraud detection? One of the more obvious, important uses in our world today.

If you want to learn practical machine learning, Check out it here

Listed some popular machine learning methods
  •        Supervised learning
  •        Semisupervised learning
  •        Unsupervised learning
  •        Reinforcement learning

Why you should learn Machine learning?

Awesome reasons to learn machine learning! Here are a few:
  •          Massive Global Demand
  •          Data is Power
  •          It's Fun as Hell!

Tons of companies are going all out to hire competent engineers, as ML is gradually becoming the brain behind business intelligence. Through it, businesses are able to master consumers’ preferences thereby increasing profits.

It’s closely linked to data science: Just as humans learn from experience, ML systems learn from data. Thus, many ML engineers are made to wear two hats machine learning engineering and data science




Who’s using it?

Most industries working with large amounts of data have recognized the value of machine learning technology such as
  •          Financial services
  •         Government
  •         Health
  •         Marketing and sales
  •        Transportation

 If you're looking forward to supercharging your career, learning Machine learning might be the way to go.
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