Data Science

What are the Differences Between Machine Learning and Deep Learning?

Difference between Machine Learning and Deep Learning

Developments in artificial intelligence (AI) are so fast-paced that keeping track of the new changes can be a little tricky. But if you want to begin from scratch, you will have to divide the whole genre into two broad streams – machine learning (ML) and deep learning. These two terms are often used interchangeably and have become buzzwords. However, it is equally important to understand their differences to have a hold over artificial intelligence. Owing to the enormous demand for artificial intelligence, AI and machine learning programs have swamped the internet. Several online learning platforms are offering online certificate programs for young professionals to get ahead in the competition. But before going there, it is always wise to do your homework. 

Artificial intelligence has revolutionized human lives like none other. From getting apt recommendations on Netflix to self-driving cars, nothing is impossible with AI. Hence, several companies are employing AI for solutions related to their industry. The aim is to enhance customer satisfaction and make every activity automated, seamless, and hassle-free. Given this situation, there is a huge demand for professionals trained in machine learning. 

Let us try and understand a little more about machine learning and deep learning.

What is Machine Learning?

In simple words, machine learning is a branch of AI which includes algorithms that analyze data and learn from it to carry out informed functions without human involvement. For example, in an on-demand music streaming service, the algorithm recommends new songs to listeners by drawing in data from other listeners that have similar choices. The automated recommendations on Facebook, Netflix, and Spotify, are a result of machine learning algorithms. However, it involves a lot of complicated mathematical calculations and coding.

What is Deep Learning?

Deep learning is a sub-branch of machine learning that uses algorithms in multiple layers to create artificial neural networks. Deep learning is the sophisticated programming of machines that allows them to think just like a human brain. Multidimensional and complex deep neural networks are created that exchange data just like neurons of a human brain. 

Deep learning is a tremendous task that involves massive amounts of data. However, once it is put in place, there is no requirement for human intervention at all. 

Difference Between Machine Learning And Deep Learning

Machine Learning Deep Learning
It uses algorithms to study data, learn from it, and make better decisions based on the learnings. It organises algorithms in several layers to create an “artificial neural network” that can learn and decide by itself.
It can work with a lesser amount of data. It requires massive volumes of data.
Machine learning does not require much time. Deep learning requires a significant amount of time.
It requires a CPU for training.  It requires a GPU for training.
It has a limited capacity for hyperparameter tuning. It can be tuned in multiple ways.
Here the output is in numerical forms.  Here the output can be in any form, including text, sounds, etc.

Hero Vired is a reputed online learning platform that offers the best machine learning online program in collaboration with the Massachusetts Institute of Technology (MIT). Learners can take up this 11-month long program in both full-time and part-time modes of learning. To find out more about this, visit the Hero Vired website today.  

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