Every technology and innovation that comes, brings many options for employment with it. We have seen that technology is increasing rapidly in the time of Covid-19 and along with it many opportunities have also increased. In such a situation, a lot of work is being done through automatic machine learning and artificial intelligence. In a few years, artificial intelligence will remove about 20 to 30% of the manpower. This number is increasing very fast and machines are replacing humans. Although machines will not be able to completely remove humans, still it will make our work much easier.
Many big and big companies are working on these new technologies very fast. Multinational companies like Tesla, Microsoft, Google have started adopting these technologies rapidly and are continuously improving them. You may be still confused about Artificial Intelligence, Machine Learning, and Deep Learning. Today we will find out the difference between these three things and try to know each one very well.
Artificial intelligence: advanced human intelligence
Artificial Intelligence is a word that is in discussion all around these days. It enables a computer or machine to think so that it can make its own decisions. If you think at once, it seems impossible that how a machine can take decisions on its own. But if we go deep into machine learning, computational intelligence, and many other things, we will find that it can be possible.
There is no doubt that Artificial Intelligence is growing very fast. According to Inc., by the beginning of 2022, artificial intelligence will become a $3 Billion industry. Combining Artificial Intelligence with Human Abilities will give us amazing results which we have already started seeing. Using Artificial Intelligence in the right way will be very beneficial for us. With the help of this, many of our tasks will be done very easily and quickly.
Concept: Artificial intelligence is such an ability that understands and replicates the human mind and the capacity of the human mind. Through artificial intelligence, scientists enable machines to give them the ability to think. The main purpose of artificial intelligence is to solve big and complex problems in a jiffy.
Machine learning is a very big app, inside which there are many small concepts and subcategories. Developers are researching these subcategories by working specifically on them so that they can be used properly. Some of the subcategories that come under Artificial Intelligence are as follows:
- Machine Learning
- Deep Learning
- Cognitive Learning
Benefits of AI
With the speed with which artificial intelligence is being worked on, it can be estimated that there will hardly be any industry where artificial intelligence will not be used. The main purpose of artificial intelligence is to make the machine think and or rather make the machine think smartly. With the help of artificial intelligence, much of our work will be done very easily, due to which our manpower will decrease.
Machine learning
Machine learning is a part of artificial intelligence. It has started being used. For example, you do some search on Google and after some time you will find that you will start seeing advertisements related to the same product. Have you ever wondered why and how this happens? These things are done using machine learning. The search results and advertisements shown to you are happening only through machine learning.
Mainly, Machine Learning brings you relevant information for the future by connecting data and experiences from the past. Four things are necessary to make machine learning possible which include Pattern, Prediction, Inpit, and Past Experience.
Raw data is the main input in machine learning and, it processes it and shows you relevant data. There are mainly three algorithms used in machine learning, which are as follows:
Supervised learning algorithm
In this algorithm, some dataset is provided to the computer, and using that dataset computer provides the output. Suppose machine learning has to show what a mango looks like, then a supervised learning algorithm will be used for this. In this, you have to define a dataset that how a mango looks, what is the color of a mango, and many other things. Along with this, a label data set will have to be given in which the name of the mango will have to be defined. Based on this, whenever the algorithm gets that kind of data, it will guess that it is a mango.
Unsupervised learning algorithm
In this technique also have to create some data sets in advance, for example, you want to give data of cricket and football to the computer. And finally, you want to know how many footballs are there and how many cricket balls are there. For this, you will explain to the computer that to store the big ball separately and store the data of the small ball separately. The computer will work based on this and in the end, will tell you how many footballs and how many cricket balls are there in the data you have input.
Reinforcement learning algorithm
This algorithm is taught how to read and scan the data of the given input and predict the output. There are many algorithms inside this algorithm that give us the ability to work in different ways.
- Linear Regression
- Naive Bayes
- Logistic Regression
- Decision tree
- K-Mean
- Random Forest
Benefits of machine learning
With its help, we get help in decision-making, and also gives us the ability to do tasks automatically. With its help, we can convert the existing data into analytics and graphic representation. In this, we get good results, and features like multi-variety functionality are also available. Overall, it is a beneficial technology.
Deep learning
Deep learning is a field of machine learning, it all comes under artificial intelligence. It is the part of machine learning that examines the algorithm of the computer and gives us even better results. A lot of things like Chat Bots, Virtual assistants, and Face Recognition like difficult tasks are done with the help of Deep Learning. Artificial Intelligence is a very big field in which even impossible tasks can be done. Deep learning is a part of the same which focuses on a specific area which includes following tasks such as face recognition chatbots etc.
Benefits of deep learning
How much do face recognition, chatbots, and virtual assistants help you? Doesn’t that make your job easier? In the same way, as much time as it saves for you, it saves the same amount of time and consumption of manpower. Because all these things are happening with the help of an automatic process, then there is no need for manpower in it. Along with this, it is also useful for us because, with the help of them, our work gets done easily, fast and in the right way.
By the way, artificial intelligence, machine learning, and deep learning sound alike. But when you understand these concepts deeply, you will find that there is a lot of difference between them and they are completely different from each other. Artificial intelligence is man technology within which machine learning and deep learning come. Each concept has different algorithms and processes based on which they all work. We hope that after reading this article, you must have understood the difference between all these. In this rapidly changing digital world, Artificial Intelligence is going to grow at an even greater speed. Everyone is waiting to see how the upcoming results will be.
