Machine Learning: Learn with Data

Today machine learning is the core of many Futuristic technological advancements in our world. People around the world are actually interested in learning about What is Machine Learning. Look around you, you will find various examples or implementations of machine learning, such as Tesla’s self-driving cars, Apple’s Siri, Sophia AI Robot and many more.

This blog on What is Machine learning will make your understanding more clear. This blog will tell you about:

  • What is Machine Learning?

  • Evolution of Machines

  • How does Machine Learning work?

  • What is Supervised Learning?

  • What is Unsupervised Learning?

  • What is  Reinforcement Learning?

ML Example - What is Machine Learning - Edureka

What is Machine Learning?

Well, Machine Learning is a subfield artificial intelligence (AI) that focuses on the design of systems that can learn from and make decisions and predictions based on experience which is data in case of machines.

It enables the computers to act and make data-driven decisions rather than being programmed explicitly to carry out a certain task. These machine learning programs are designed to learn and improve over time when exposed to new data.

What is Machine Learning - Edureka

What is Machine Learning - Evolution of Machines

Evolution of Robots - What is Machine Learning - Edureka

As you know, we are living in the world of humans and machines. The Humans have been evolving and learning from their past experience since millions of years. On the other hand, the era of machines and robots have just begun. Or you can say that now we are living in the primitive age of machines, the future of machine is enormous and beyond our scope of imagination.

In today’s world, these machines or the robots are like they need to be programmed before they follow instructions. But what if the machine started learning on their own from their experience, feel emotions like us, work like us, do things more accurately with much more perfections than us? These things sound fascinating, Right? Well, this is just the beginning of the new era and this is where Machine learning comes into the picture.

How does Machine Learning Work?

Machine Learning algorithm is trained using a training data set to create a model. When new input data is introduced to the ML algorithm, it makes a prediction on the basis of the model.

The prediction is evaluated for accuracy and if the accuracy is acceptable, the ML algorithm is deployed. If the accuracy is not acceptable, the ML algorithm is trained again and again with an augmented training data set.

This is just a very high-level example as there are many factors and other steps involved.

How Machine Learning Works - What is Machine Learning - Edureka

Types of Machine Leaning

Machine learning is sub-categorized to three types:

  • Supervised Learning – Train Me!

  • Unsupervised Learning – I am self sufficient in learning

  • Reinforcement Learning – My life My rules! (Hit & Trial)

What is Supervised Learning?

It is a process of an algorithm learning from the training dataset. You can think it as a teacher supervising the learning process. Where you know the correct answers but the algorithm iteratively keeps predicting the training data and is corrected by the teacher. This learning stops when the algorithm achieves an acceptable level of performance.

What is Unsupervised Learning?

In this process of learning, no one supervises the process, there are no correct answers and there is no teacher. Algorithms are left to their own to discover and present the interesting structure in the data.

In the unsupervised learning, the data instances of a training dataset do not have an expected output associated with them. Instead, the algorithm detects patterns based on the original characteristics of the input data. An example of unsupervised learning is clustering. In this, similar data instances are grouped together in order to identify clusters of data.

What is Reinforcement Learning?

Reinforcement learning can be thought of as a hit and trial method. A Reward or Penalty point is given for each action. If the machine chooses a correct option it gains the reward point and vice-versa.

Types of Machine Learning - Waht is Machine Learning - Edureka

Machine Learning Use Case

Scroll the images to view different Machine learning uses which includes face detection, cortana, Netflix Recommendation System and many more.

  • Machine Learning Use Case - What is Machine Learning - Edureka
  • Face Detection - What is Machine Learning - Edureka
  • Machine-Learning_Netflix - What is Machine Learning - Edureka
  • Use Case - What is Machine Learning - Edureka

I hope by now you have a proper understanding of What is Machine Learning. If you wanna learn about machine learning in depth, then stay tuned for my next blog on Machine Learning Tutorial.

Python with Data Science Certification and Training from Edureka

“Your FUTURE is decided by what you do TODAY, not TOMORROW”

Excited to learn Python with Data Science and explore the amazing world of Machine Learning? Don’t worry. We at Edureka, have designed an industry-oriented Python with Data Science Training and Certification course for you with a lifetime access. The course at Edureka is regularly updated and is full of real-life use cases which you may apply in the industry. Don’t hurry, go through our Landing Page, blogs, Youtube video, do your research, and if you are really satisfied with the content and wanna become an expert in Data Science, then click on the button, and book your seat in the online live Python with Data Science Training and Certification session at Edureka, and learn from professionals with 10+ years of experience of working in the domain.

The post What is Machine Learning? appeared first on Edureka Blog.