How does AI solve problems? Before answering this question, let’s try to answer this question first. Then we will try this one.
How do we solve problems?
Simple answer. Using our experiences. Of course we need some intelligence to solve problems.
But before that, we need some experiences.
Why? Because, we compare the current problem with the old problems and try to match the situations. We follow the algorithms or rules step by step.
Right?
In the case of AI or artificial intelligence, Problem solving refers to the process of finding a solution to a particular issue or challenge. Just like us.
Where is the difference?
In the context of artificial intelligence, problem solving refers to the use of AI techniques to automate the solution of complex problems.
If you are a complete beginner your journey to learn TensorFlow might start from here.
For the TensorFlow beginners we have a dedicated category – TensorFlow for Beginners.
But besides that, you may need to learn several other machine learning and data science libraries.
As a result, you may check these categories as well – NumPy, Pandas, Matplotlib.
However, without learning Python, you cannot learn the usages of these libraries. Why? Because they all use Python as the Programming language.
Therefore please learn Python at the very beginning and start learning TensorFlow.
And, finally please check our Mathematics, Discrete Mathematics and Data Structures categories specially. We have tried to discuss from basic to intermediate level so that you can pick up the core ideas of TensorFlow.
Actually AI does the same thing, simulating us. It already has a lot of mathematical models of which it picks up the best one.
How AI solves problems
For that reason, AI-based problem solving typically involves creating a mathematical model of the problem and using algorithms to find the best solution.
These algorithms can include search and optimization techniques, as well as machine learning methods that can learn from examples and improve over time.
For example, we can use AI to identify the most efficient route for a delivery truck to deliver goods. Or to diagnose and treat diseases based on medical images.
In general, the goal of AI-based problem solving is to find solutions that are faster, more accurate, and more efficient than those found by traditional methods.
Image by 0fjd125gk87 from Pixabay
What Next?
TensorFlow, Machine Learning, AI and Data Science
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