Computational Machine Learning and learning an approximately correct hypothesis Contents of Computational Learning Introduction Probably learning an approximately correct hypothesis Sample complexity for finite hypothesis space Sample complexity for infinite hypothesis space The mistake-bound model of learning Computational Learning Theory: Computational learning theory is a field of machine learning that studies the mathematical properties and limitations of learning algorithms.
."Discover how machine learning algorithms can be used to predict customer behaviour and improve business outcomes. Learn how to leverage the power of data to drive success." Machine learning is a subfield of artificial intelligence that focuses on the development of algorithms and models. Machine learning has numerous applications in various fields such as computer vision, natural language processing, speech recognition, robotics, finance, healthcare, and more