David Hoyle has over 30 years' experience in machine learning, statistics, and mathematical modeling. He gained a BSc. degree in mathematics and physics and a Ph.D. in theoretical physics from the University of Bristol. He did research at the University of Cambridge and led his own research groups as an Associate Professor at the University of Exeter and the University of Manchester. Previously, he worked for Lloyds Banking Group – one of the UK's largest retail banks, and as joint Head of Data Science for AutoTrader UK. He now works for the global customer data science company dunnhumby, building statistical and machine learning models for the world's largest retailers, including Tesco UK and Walmart. He lives and works in Manchester, UK.

• Table of ContentsRecap of Mathematical Notation and TerminologyRandom Variables and Probability DistributionsMatrices and Linear AlgebraLoss Functions and OptimizationProbabilistic ModelingTime Series and ForecastingHypothesis TestingModel ComplexityFunction DecompositionNetwork AnalysisDynamical SystemsKernel MethodsInformation TheoryNon-Parametric Bayesian MethodsRandom Matrices

David Hoyle has over 30 years' experience in machine learning, statistics, and mathematical modeling. He gained a BSc. degree in mathematics and physics and a Ph.D. in theoretical physics from the University of Bristol. He did research at the University of Cambridge and led his own research groups as an Associate Professor at the University of Exeter and the University of Manchester. Previously, he worked for Lloyds Banking Group – one of the UK's largest retail banks, and as joint Head of Data Science for AutoTrader UK. He now works for the global customer data science company dunnhumby, building statistical and machine learning models for the world's largest retailers, including Tesco UK and Walmart. He lives and works in Manchester, UK.

• Table of ContentsRecap of Mathematical Notation and TerminologyRandom Variables and Probability DistributionsMatrices and Linear AlgebraLoss Functions and OptimizationProbabilistic ModelingTime Series and ForecastingHypothesis TestingModel ComplexityFunction DecompositionNetwork AnalysisDynamical SystemsKernel MethodsInformation TheoryNon-Parametric Bayesian MethodsRandom Matrices

David Hoyle has over 30 years' experience in machine learning, statistics, and mathematical modeling. He gained a BSc. degree in mathematics and physics and a Ph.D. in theoretical physics from the University of Bristol. He did research at the University of Cambridge and led his own research groups as an Associate Professor at the University of Exeter and the University of Manchester. Previously, he worked for Lloyds Banking Group – one of the UK's largest retail banks, and as joint Head of Data Science for AutoTrader UK. He now works for the global customer data science company dunnhumby, building statistical and machine learning models for the world's largest retailers, including Tesco UK and Walmart. He lives and works in Manchester, UK.

• Table of ContentsRecap of Mathematical Notation and TerminologyRandom Variables and Probability DistributionsMatrices and Linear AlgebraLoss Functions and OptimizationProbabilistic ModelingTime Series and ForecastingHypothesis TestingModel ComplexityFunction DecompositionNetwork AnalysisDynamical SystemsKernel MethodsInformation TheoryNon-Parametric Bayesian MethodsRandom Matrices