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What are the steps to be followed to become an expert in Artificial Intelligence?

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closed as too broad by Oliver Mason, Dennis Soemers, nbro, malioboro, Borhan Kazimipour Jun 25 at 1:59

Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.

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    $\begingroup$ Possible duplicate of What are the steps to follow to learn artificial intelligence? $\endgroup$ – nbro Jun 24 at 10:50
  • $\begingroup$ What are the steps to follow to learn artificial intelligence? is something like learning from scratch. But I would like to know how to become expert in AI. $\endgroup$ – Fabian Barrior Jun 24 at 11:13
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    $\begingroup$ Different people will likely suggest different things. AI has evolved over the years and nowadays it is mainly machine learning, but some people may also take into account other sub-fields. So, in general, your question is primarily opinion-based, also because "expert" is not clearly defined. Is an expert a Ph.D. student, a professor or something else? Furthermore, the steps you need to follow depend on your background. This question has been asked multiple times in the past: ai.meta.stackexchange.com/q/1532/2444. There's no need for more duplication. $\endgroup$ – nbro Jun 24 at 11:35
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If you are thinking of becoming an expert in AI then here’s what all you need to know: There are in total four levels of mastering AI and becoming AI expert so let’s start with level zero i.e. ground level

Level One – Setting the foundation for AI: This is where you need to ask the questions like – how good are you in Maths; are you friends with it or are you intimidated by it. In addition, you need to love coding if you are seeking a career in AI. If you are passionate about both coding and Maths, then you are ready for a career in AI and ready for level two as well.

Level Two – Striding into AI: This is where you need to brush-up on your basics and get them on your fingertips. It is important for you to have a thorough knowledge of the basics before you stride deeper into AI. You need to grasp the following –

  1. Cover Linear Algebra, Statistics, and Probability
  2. Select a Programming Language
  3. Understand Data Structures
  4. Understand Regression in Complete Detail
  5. Move on to Understand Different Machine Learning Models and Their Working
  6. Understand the Problems that Machine Learning Solves

Level Three – Walking into Deep Learning: If you have reached this stage then Kudos to you, as this is the third leg of your journey to become an expert in AI. This is where you will be introduced to Deep Learning and will learn the mechanics of machine learning. You need to do the following –

  1. Understand Neural Networks
  2. Unroll the Maths Behind Neural Networks
  3. Master Different Types of Neural Networks
  4. Understand AI in Different Domains like NLP and Intelligent Systems
  5. Get Familiar with the Basics of Big Data

Level Four – Conquering AI: This is final step into becoming an AI expert. This is also the point where you have to put into practice all that you have learned so far. You need to:

  1. Grasp Optimization Techniques
  2. Be an active participant in competitions
  3. Publish as well as read lots of Research Papers
  4. Fiddle with Maths to churn out your own Algorithms
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    $\begingroup$ AI is not (only) machine learning though. $\endgroup$ – olinarr Jun 24 at 11:30
  • $\begingroup$ I agree, this is a very limited view of AI. $\endgroup$ – Oliver Mason Jun 24 at 12:39

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