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I know that the Artificial Intelligence field is very vast and there are many books on it. But i just want to know any resource where i can get the simple introduction to all Artificial Intelligence techniques like

It would like to have a 1 or the 2-page introduction of all techniques and their examples of how they can be applied or for what purpose they can be used. I am interested in

  1. Backpropagation Algorithm

  2. Hebb's Law

  3. Bayesian networks

  4. Markov Chain Models

  5. Simulated Annealing

  6. Tabu Search

  7. Genetic Algorithms or Evolutionary Algos

Now there are many variants and more AI techniques. And each one has many books written on them. I am unable to decide which algorithms I can use unless I know what they are capable of doing.

So can I find 1-2 page introduction of them with Application examples

1 Answer

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This post will give you a basic background in artificial intelligence and machine learning. It's a good place to gain an intro-level, working understanding of the categories, how they fit together, and their differences.

Artificial intelligence, described as an intelligence presented by machines, has many applications in today's society. More specifically, it is a Weak AI, the form of AI where programs are developed to perform specific tasks, that are being utilized for a wide range of activities like; medical diagnosis, electronic trading platforms, robot control, and remote sensing. AI has been used to produce and advance numerous fields and industries, including finance, healthcare, education, transportation, and more.

For more information regarding ARTIFICIAL INTELLIGENCE IN THE REAL WORLD, refer to the following link: https://eiuperspectives.economist.com/sites/default/files/Artificial_intelligence_in_the_real_world_1.pdf

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