. "Artificial Intelligence"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Introduction to machine learning"@en . . "6.7" . "The goal of this course is to provide an accelerated preparation for the more advanced courses in the Michaelmas term. This preparation includes several foundational topics in machine learning and through these we cover essential mathematical background and optimisation tools.\r\n\r\nAims:\r\n\r\nProvide a thorough introduction into the topic of statistical inference including maximum-likelihood and Bayesian approaches. Introduce important tools from probability and statistics.\r\nIntroduce algorithms for regression, classification, clustering and sequence modelling. Through these use mathematical tools including linear algebra, eigenvectors and eigenvalues, multidimensional calculus, and calculus of variations. \r\nIntroduce basic concepts in optimisation and dynamic programming, including gradient ascent and belief propagation. \n\r\nObjectives:\r\n\r\nUnderstand the use of maximum-likelihood and Bayesian inference and the strengths and weaknesses of both approaches. \r\nImplement methods to solve simple regression, classification, clustering and sequence modelling problems. \r\nImplement simple optimisation methods (gradient and coordinate descent, EM) and dynamic programming (Kalman filter or Viterbi decoding). \n\nOutcome: Not Provided" . . "Presential"@en . "TRUE" . . "Master in Machine Learning and Machine Intelligence"@en . . "https://www.mlmi.eng.cam.ac.uk/" . "60"^^ . "Presential"@en . "The goal of the field of Machine Intelligence is to develop systems that can perceive the world, plan and make decisions, interact with humans and other intelligent agents, and provide explanations for their actions. Machine Learning provides many of the technical tools used to develop intelligent systems. This field overlaps with statistics and computer science.\r\n\r\nThe MPhil in Machine Learning and Machine Intelligence is an eleven month full-time programme offered by the Machine Learning Group, the Speech Group, and the Computer Vision and Robotics Group in the Cambridge University Department of Engineering. The course aims to teach the state-of-the-art in machine learning, speech and language processing, and computer vision; to give students the skills and expertise necessary to take leading roles in industry and to equip them with the research skills necessary for doctoral study at Cambridge and other universities.\n\nOutcome:\nThe MPhil in Machine Learning and Machine Intelligence offers many opportunities for the development of professional skills, giving students experience in preparing and giving presentations, report writing, collaborating in research teams, and carrying out literature searches. Students will also be expected to attend the invited seminar series run by the Machine Learning and the Speech Group."@en . . . . "1"@en . "FALSE" . . "Master"@en . "Thesis" . "17022.00" . "British Pound"@en . "41694.00" . "None" . "Employment prospects are also extremely good for students who plan to go directly into industry. The course will impart directly employable skills and expertise which are in great demand in the IT, financial, and manufacturing sectors."@en . "4"^^ . "TRUE" . "Midstream"@en . . . . . . . . . . . . . . . . . . . .