MACHINE LEARNING, FACTORIAL, EXPERIMENTS, APPLICATIONS, INDUSTRIES

Machine learning has emerged as a transformative technology with a profound impact on various industries. In this course of study, this abstract provides an overview of ML, its significance, limitations, types of ML we have. Machine Learning: This refers to the exploration of computer programs that utilize algorithm and statistical model to acquire knowledge by identifying patterns and making inferences all without explicit programming. Some of the significance of Machine Learning includes its contribution to technological advancement in various industries, it equips individual with skills to automate processes and streamline operations and it also enables automation of repetitive tasks which enhance efficiency and productivity. There are challenges or limitations associated with ML, some of which includes: Data dependency, Interpretability and Transparency, Overfitting and Generalization, Domain-specific expertise and Lack of casual understanding. The types of Machine Learning are: Supervised Learning, Unsupervised Learning, Semi-supervised Learning and Reinforcement Learning.