Artificial Intelligence is more and more part of our lives today. It is also one of the most critical tools nowadays we use to create applications that help humankind progress.
The following article explains all the details regarding AI, challenges faced while adopting AI, and some concepts about:
- What is AI, Intelligent agents, Advantages & disadvantages and challenges of AI
- Problem Solving & Search Algorithms
- Knowledge Representation and Planning
- Probabilistic Reasoning
- Machine Learning: types, classification and decisions tree
- Communication, Perception and Natural Language Processing
- Neural Networks
- Data Mining
Also, I am going to present some small projects we can implement to crystallise the knowledge gained after reading this article series.
Artificial Intelligence is the area of computer science that emphasizes the creation of intelligent machines that work and react like humans. It is the simulation of human intelligence methods by computer systems and these processes include learning, reasoning, and self-correction.
The aim of this guide is to summarize AI and its underlying concepts, hence it covers the basics of AI, probability concepts, knowledge representations, and in the end hands-on projects.
This guide is for professionals from all walks of life:
- developer
- architect
- software engineer
- sales/marketing – help to understand better what applications you can do for your organization
- university professors
- engineer & management students
- CTOs and CMOs
The benefits are clear: there is a massive market for AI because AI has the power to change our realm.
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