Artificial Intelligence and Machine learning basics.pptx
- 2. Artificial Intelligence Definition Of Artificial Intelligence Artificial Intelligence (AI) refers to the ability of machines or computer programs to perform tasks that would normally require human intelligence, such as recognizing speech, making decisions, and learning from experience.
- 3. Artificial Intelligence Types Of Artificial Intelligence AI has its roots in computer science and mathematics but also draws from philosophy, psychology, and neuroscience. The field has been evolving since the 1950s and has experienced many ups and downs, with periods of intense research followed by periods of reduced interest.
- 4. Artificial Intelligence Types of Artificial Intelligence There are several types of AI, including rule-based systems, evolutionary algorithms, fuzzy logic, expert systems, and machine learning.
- 5. Artificial Intelligence Machine Learning Machine learning is a subset of AI that involves training algorithms to recognize patterns in data and make predictions based on that data.
- 6. Artificial Intelligence Natural Language Processing NLP is a subfield of AI that deals with the interaction between computers and human languages. This topic covers the basic concepts of NLP and its applications.
- 7. Artificial Intelligence Neural Networks Neural networks are a type of machine learning algorithm that is inspired by the structure and function of the human brain. They are made up of interconnected nodes that process information and learn from examples.
- 8. Artificial Intelligence Robotics and automation are two areas where AI has made significant progress. This topic covers the use of AI in robotics and automation, including the development of autonomous vehicles, drones, and manufacturing robots. Robotics And Automation
- 9. Artificial Intelligence Expert systems are AI-based computer programs that can make decisions like humans. This topic covers the basic concepts of expert systems and how they are used in decision making. Expert Systems And Decision Making
- 10. Artificial Intelligence Computer Vision And Image Processing Computer vision is the ability of computers to interpret and understand visual information from the world around them. This topic covers the basic concepts of computer vision and image processing, including object recognition, facial recognition, and image classification.
- 11. Artificial Intelligence Speech Recognition Speech recognition is another subfield of AI that deals with the interpretation and understanding of human speech. This topic covers the basic concepts of speech recognition and its applications.
- 12. Artificial Intelligence Cognitive Computing and Reasoning Cognitive computing is an area of AI that focuses on creating machines that can think, reason, and learn like humans. This topic covers the basic concepts of cognitive computing and its applications.
- 13. Artificial Intelligence Ethics And Implications Of Artificial Intelligence As AI becomes more advanced, it raises significant ethical and societal implications. This topic covers the ethical considerations of AI development and how it can affect society.
- 14. Artificial Intelligence Applications Of Artificial Intelligence AI has many applications across various industries, including healthcare, finance, and transportation. This topic covers the various applications of AI and how it is used in different industries.
- 15. Artificial Intelligence Challenges and Limitations of Artificial Intelligence Despite its many benefits, AI faces several challenges and limitations. This topic covers the major challenges of AI development, such as data privacy and bias, and its limitations.
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