Artificial Intelligence Tutorial Learn AI from Experts …

Overview of Artificial Intelligence

Today, a few applications of artificial intelligence seem to bring us closer to the future. The most convincing pieces of evidence are self-driving cars, Google Translate, and Sophia (humanoid robots). Moreover, have you ever wondered how Cyborg technology (a technique for creating artificial body parts for people with disabilities that enables them to function normally) works? If yes, this Artificial Intelligence tutorial will give you an introduction to AI right from the basics.

In this Artificial Intelligence tutorial, we shall be coveringMachine Learning, Deep Learning, neural networks, real-life applications of Artificial Intelligence, Python and various packages available in it, TensorFlow, Keras, multilayer perceptron, convolution neural networks, recurrent neural networks, long short-term memory, OpenCV, and much more.

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Creativity and ideas never end as they are limitless. Likewise, there are a lot more things to create, improve, implement, and invent in the field of Artificial Intelligence. Evidently, AI is far from reaching its saturation level of creating new things.

In short, here are the goals of Artificial Intelligence:

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Artificial Intelligence is the intelligence that machines demonstrate. It allows us to create machines that can perform multiple tasks and solve real problems without error. As a matter of fact, AI can improve efficiency and productivity by automating repetitive tasks. Additionally, it can create an immersive, responsive experience and understand human emotions.

This Artificial Intelligence tutorial will teach you all the techniques that you will have to implement in real life.

Artificial intelligence machines have the ability to make decisions and when exposed to large amounts of real-world data, they try to learn and improve themselves. To illustrate this, here are some practical applications of artificial intelligence:

Now, in this Artificial Intelligence tutorial, we will head on to the subsets of Artificial Intelligence.

Artificial Intelligence is an umbrella term. There are two subsets of Artificial Intelligence: Machine Learning and Deep Learning.

Machine learning is a branch of artificial intelligence in which a program or machine uses a set of algorithms to find patterns in the dataset(s). Above all, we dont have to write individual instruction for every action. As machine learning models capture more and more data, they become smarter and self-improving.

Further, Machine Learning can be sub-categorized into three subsets:

Now, moving ahead with this Artificial Intelligence tutorial, we will look at some applications of Machine Learning.

Since Artificial Intelligence and Machine Learning make our lives better, it is very satisfying to learn these. This Artificial Intelligence tutorial will teach you everything you need to know about the basics of Artificial Intelligence.

Further development of machine learning has led to a different sub-category, i.e., Deep Learning. Deep Learning makes use of artificialneural networks that consist of layers of networks working on different parameters to give the desired output.

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Artificial Intelligence is about incorporating the human abilities to a machine by designing algorithms such that these algorithms involve self-learning and provide the machine with the ability to think like the way humans do, by which the machine would be able to solve problems without explicit human inputs.However, a lot of creativity and computation is required to make it a successful creation.

Artificial Intelligence is gaining immense popularity because it has a lot of things to explore and create around the world. The applications of Artificial Intelligence that we come across in our day-to-day life are just a small demonstration of AIs wonder-struck start.

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This Artificial Intelligence tutorial has been prepared to help you learn Artificial Intelligence the right way, and it is meant for the beginners and for the professionals to help them understand basic-to-advanced concepts related to AI. This Artificial Intelligence tutorial will help you master AI with which you will be able to take yourself to a higher level of expertise for implementing Artificial Intelligence concepts in real life.

Before going through this Artificial Intelligence tutorial, you should have a fundamental knowledge of the field of Information Technology, along with being familiar with computers, the Internet, and basic working knowledge on data. Such basics will help you understand the AI concepts better and will move you faster on the learning path.

This AI tutorial, further it its pages, covers the introduction to AI, the history, goals, and the applications of AI, AI vs ML vs DL, various data science packages, artificial neural networks, back-propagation algorithm, multilayer perceptron, the problems of overfitting and underfitting, convolution neural networks, recurrent neural networks, long short-term memory, various Machine Learning concepts, and OpenCV.

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Artificial Intelligence Tutorial Learn AI from Experts ...