Artificial Intelligence and Machine Learning Life Cycle
The following is a series of four articles as PowerPoint slides in this blog site
- History of Artificial Intelligence, Machine Learning and Deep Learning in slides
- Technologies Driving Artificial Intelligence
- Artificial Intelligence and Machine Learning Life Cycle
- Applications of Artificial Intelligence A to Z
The slides are collections from my presentations at various skill development programmes. These are meant for the benefit and information of AI enthusiasts, developers and researchers as well, to be aware of those great men and women who contributed to this field of human knowledge, the key technologies that enable its progress, the general life cycle nature of AI projects and the wide variety of its present and future applications.
Comments from readers are welcome to improve the content.
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The Machine Learning (ML) project life cycle refers to the iterative process of taking a business problem and using machine learning to develop a solution. It involves several key stages, each crucial for building a successful and impactful ML model. Here's a breakdown of the typical ML project life cycle:
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