What is the best way to learn Artificial Intelligence for beginners? [Part 1]
The very human learning chronology for Artificial Intelligence
I like to share my own journey of Learning Artificial Intelligence, from a complete novice.
This guide will surely help each and every AI ardent who plan to learn Artificial Intelligence.
Important Note:
By the time I decided to write a blog on the beginner’s guide to AI, I planned to include the content in one part. But, as we all know that the field of AI is vast and became a difficult task to include all the learning stuff in one part. So I am doing a 2 part series on the guide-
A Beginners Guide to Artificial Intelligence: The Learning Curve of AI
Welcome to beginner’s guide to AI. This Guide would provide you with a very basic understanding of what AI/Ml/DL is, what it can do, and how to learn it.
Artificial intelligence brings a sudden technological paradigm shift in the whole IT sector. Now the job prospects are changed, older monotonous jobs are suckup by artificial intelligence. But it also brings some new job opportunities. To grab those jobs today’s youth shown a keen interest.
But there is a catch for we all know that the field of artificial intelligence is very new. So the learning curve and its trajectory would seem a bit complicated for beginners & somewhere down the line it is true, as the evolution of technology happened in the last decade.
Even I personally took an interest in answering various Beginner's questions over different social media platforms. And over there I found Beginners are much excited to learn about artificial intelligence. But they don’t know how to & where to begin.
Few popular questions i answered on quora over the years
The list goes on……. So I thought, Wouldn’t it be great if I made a simple and easy to understand beginner’s guide to artificial intelligence?
“From what it is, how to use it and even where to learn it- I’ve got you covered!”
What is Artificial Intelligence?
Step 1- Answering the question ‘What is Artificial Intelligence ?’
I am guessing that if you’ve landed on this page because you have some interest in demystifying the world of artificial intelligence. I hope to clear your doubts. I’m here to help you start to understand the topic in — my beginner’s guide to artificial intelligence.
Definition of artificial intelligence says:
Artificial intelligence is the theory and development of computer systems able to perform tasks usually requiring human intelligence, i.e the Cognitive tasks such as visual, speech recognition, decision making, perception, judgment, problem-solving, memory.
Sound Great right! Great to have a definition but what does that mean in practical terms.
What does that mean for you?
Essentially that means is that artificial intelligence is a machine having skills that mimic humans in every aspect. One thing I want to make clear that a machine having the intelligence to process human speech and converse is not the same as thinking like a human.
So In general Artificial intelligence (AI) is an area of computer science that emphasizes the creation of machines having intelligence that work and react like humans. AI is designed to have the most predominant capabilities that humans equipped with-
- Reasoning
- Speech
- Vision
Broadly, AI is classified into the following:
Artificial intelligence composed of :
- Machine learning: Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
- Deep learning: Deep learning is an aspect of artificial intelligence inspired from the structural and functional behavior of brain(the network of billion’s of the neuron), operates with an approach to learn things the similar way human brain did.
- Data Science: Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems. Needs a partial knowledge of data science.
- Natural language processing: Natural language processing is a sub-field of computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human languages, in particular how to program computers to process and analyze large amounts of natural language data.
Today tiny fragments of AI are all around. Siri is AI, Alexa is AI, automatic temperature control of AC based on the number of people inside the room is AI. But the full and final state of AI would be reached when the human mind can be implemented or emulated completely. That emulated human mind computer would behave exactly like the human and maybe even more efficient. It would provide exactly the same responses.
Final Thoughts and Closing Comments
There are some vital points many people fail to understand while they pursue their Data Science or AI journey. If you are one of them and looking for a way to counterbalance these cons, check out the certification programs provided by INSAID on their website. If you liked this story, I recommend you to go with the Global Certificate in Data Science & AI because this one will cover your foundations, machine learning algorithms, and deep neural networks (basic to advance).
If you have any query or suggestion that you want me to include in this blog please show me your response in the comment section so that I can get to know about your thought process and if you feel something is missing let me know that too, so we can together improve this more and make it more feasible for every beginner.
This is just basics, To have deeper intuition with proper documentation and learning resources do check Part 2 here
Good luck! Ping me your question!
