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360DigiTMG – Data Science course in Lucknow

Machine learning is a data science technology and an application of artificial intelligence. The machine learning technology is used to help machines make decisions without taking commands from human beings.

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360DigiTMG – Data Science course in Lucknow

INTRODUCTION

WHAT IS MACHINE LEARNING? 

Machine learning is a data science technology and an application of artificial intelligence. The machine learning technology is used to help machines make decisions without taking commands from human beings. Machines learn from the data they are given and provide output to the user, accordingly. There is a small difference between artificial intelligence and machine learning. Artificial intelligence is a technology that develops processes that help make machines intelligent. That’s why machine learning is known as an application of artificial intelligence. Many algorithms are applied to machines to increase their intelligence. For example, most of us receive weather notifications on our smartphones automatically, sometimes even when we do not select to receive them. These automatic notifications exist because of machine learning. Machine learning is known as classical machine learning.

For more information please click here 360DigiTMG – Data Science course in Lucknow

WHAT IS DEEP LEARNING? 

Deep learning is a sub field of machine learning. Deep learning is a collection of algorithms that work on neural networks. These networks are also called artificial neural network. This network is used in the process of clustering and recognizing patterns in data. Clustering is a process in which relevant data is grouped together. Neural networks recognize patterns in the data which is in the form of vectors, numerical or any mathematical form. These networks, translate these types of data into that which can be used in the real world by the people. For example, in the form of sounds, images and text. It has been said that deep learning is becoming the more preferred option for companies and organizations over the classic machine learning algorithms. Both of these technologies have their separate functions, algorithms and use in the industry.

TYPES OF LEARNING

As stated above, in machine learning technology, machines learn from the data they are provided. The way in which the machines learn from data can be divided into three types. 

  • Supervised learning
  • Unsupervised learning
  • Semi-supervised learning

WHAT IS SUPERVISED LEARNING? 

In supervised learning, the machines learn from the data whose answers are already known. As the name indicates, the data supervises machines in order to predict future results. To clarify, let’s cite as an example, the vegetable basket. Suppose you have a set of raw data. Suppose this data is a box of vegetables. This box of vegetables, or data set is the training data that the machine will use to learn.  You can apply algorithms to teach machines different features and characteristics of the vegetables. Let’s say, you taught the machine that if an object is round and red, then that object is a tomato. Now, after applying algorithms, you give the machine a new tomato. The machine, using what it has learned from data processed in the past, will now recognize that this is a tomato. This is known as supervised learning.

CONCLUSION 

Machine learning plays an important role in data analytics. Anyone who is interested in learning more about machine learning or starting a data analytics course can register for Data analytics certification here. This is an online course for data analytics offered by 360digiTMG. The machine learning course in this tutorial is supervised.     

For more information please click here 360DigiTMG – Data Science course in Lucknow

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