Unveiling the Secrets of AI and Machine Learning: An Exclusive Interview with Prof. Isaac Wiafe
In a recent interview with Ghanaian journalist Kofi Adoma, Professor Isaac Wiafe, a renowned Ghanaian computer science lecturer, delved into the intricacies of Artificial Intelligence (AI) and Machine Learning (ML). The insightful conversation shed light on the inner workings of these cutting-edge technologies.
According to Professor Wiafe, AI and ML are closely related concepts that have revolutionized the way computers process and analyze data. “Artificial Intelligence is a broad field that encompasses a range of techniques, including Machine Learning, Natural Language Processing, and Computer Vision,” he explained.
Professor Wiafe further elaborated that Machine Learning is a subset of AI that enables computers to learn from data without being explicitly programmed. “In traditional programming, you write code that tells the computer exactly what to do,” he said. “However, with Machine Learning, you provide the computer with data, and it learns to identify patterns and make predictions on its own.”
Professor Wiafe broke down the Machine Learning process into three stages: training, testing, and deployment. “During the training phase, the computer is fed a large dataset, and it learns to identify patterns and relationships within the data,” he explained.
The testing phase involves evaluating the performance of the trained model using a separate dataset. “This phase helps to ensure that the model is accurate and reliable,” Professor Wiafe noted.
Finally, during the deployment phase, the trained model is integrated into a larger system, where it can be used to make predictions and take actions.
Professor Isaac Wiafe’s insightful explanation of AI and ML has provided a deeper understanding of these complex technologies. As AI and ML continue to transform industries and revolutionize the way we live and work, it is essential to grasp the underlying principles that drive these technologies. By doing so, we can harness their full potential and create a brighter future for ourselves and generations to come.
Source: Thepressradio.com| BA
