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Artificial Intelligence in Insurance and Finance
Luisa Fernanda Polania Cabrera is an Experienced Professional at Target Corporation (United States). Victor Wu is a Product Manager at GitLab Inc, San Francisco, United States. Sou-Cheng Choi is a Consulting Principle Data Scientist at Allstate Corporation. Lawrence Kwan Ho Ma is the Founder, Director and Chief Scientist of Valigo Limited and Founder, CEO and Chief Scientist of EMALI.IO Limited. Glenn M. Fung is the Chief Research Scientist at American Family Insurance.
Towards Integrative Machine Learning and Knowledge Extraction
The BIRS Workshop “Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets” (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of “hot topics” toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.
Monte Carlo and Quasi-Monte Carlo Methods
This volume presents the revised papers of the 14th International Conference in Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, MCQMC 2020, which took place online during August 10-14, 2020. This book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising, in particular, in statistics, machine learning, finance, and computer graphics, offering information on the latest developments in Monte Carlo and quasi-Monte Carlo methods and their randomized versions.
Numerical Methods for Least Squares Problems, Second Edition
The method of least squares, discovered by Gauss in 1795, is a principal tool for reducing the influence of errors when fitting a mathematical model to given observations. Applications arise in many areas of science and engineering. The increased use of automatic data capturing frequently leads to large-scale least squares problems. Such problems can be solved by using recent developments in preconditioned iterative methods and in sparse QR factorization. The first edition of Numerical Methods for Least Squares Problems was the leading reference on the topic for many years. The updated second edition stands out compared to other books on this subject because it provides an in-depth and up-to...
Advanced Credit Risk Analysis
Advanced Credit Analysis presents the latest and most advanced modelling techniques in the theory and practice of credit risk pricing and management. The book stresses the logic of theoretical models from the structural and the reduced-form kind, their applications and extensions. It shows the mathematical models that help determine optimal collateralisation and marking-to-market policies. It looks at modern credit risk management tools and the current structuring techniques available with credit derivatives.
Monte Carlo and Quasi-Monte Carlo Methods
This book presents the refereed proceedings of the Eleventh International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of Leuven (Belgium) in April 2014. These biennial conferences are major events for Monte Carlo and quasi-Monte Carlo researchers. The proceedings include articles based on invited lectures as well as carefully selected contributed papers on all theoretical aspects and applications of Monte Carlo and quasi-Monte Carlo methods. Offering information on the latest developments in these very active areas, this book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising, in particular, in finance, statistics and computer graphics.
Easy English Cantonese & Cantonese Tonal English Dictionary
Unique two methods: i) 3D (multi-romanized); ii) Cantonese tonal English Dictionary; i) This method helps for multi-users speakers find the best unexpected easy pronunciation; go through multiple three romanized systems such as Yale /Jyutping and plain Roman; this method bring out self accurate right pronounce based on 6 tones. ii) Words are listed in alphabetically tones order. Both speakers easily self access well, even who have nothing either English or Cantonese, for lookup to English words and phrases via Cantonese tones, and Users self-able to comparative analysis with 6 tones, and it’s funny and so easy!!!; it makes 25 to 125 times faster.
Chinese Cantonese tones English Dictionary
Double Native speaker's Dictionary Unique features, It is first printed dictionary book as equivalent 5 dictionaries in one, such as: (i) English Cantonese (ii) English Cantonese (Yale romanized) (iii) English Cantonese (Jyutping romanized) (iv) English Cantonese (plain romanized) & (v) Cantonese tones English. it's in a funnie, easier, intelligent and super powerful dictionary in over a century. Focus on speaking. Two extraordinarily methods. World's no 1 easy. i) Multiple 3 options Romanized, 'it makes 25 times faster to learn Cantonese for non-chinese native speakers' ii) Cantonese tones English, 'it makes 125 times faster for both native speakers to learn English or Cantonese' - i) There...
