Machine Learning: A Practical Approach on the Statistical Learning

Debt Collection Industry: Machine Learning Approach

Businesses are increasingly interested in how big data, artificial intelligence, machine learning, and predictive analytics can be used to increase revenue, lower costs, and improve their business processes. In this paper, we describe how we have developed a data-driven machine learning method to optimize the collection process for a debt collection agency. Precisely speaking, we create a frame...

Machine Learning on Statistical Manifold

This senior thesis project explores and generalizes some fundamental machine learning algorithms from the Euclidean space to the statisticalmanifold, an abstract space in which each point is a probability distribution. In this thesis, we adapt the optimal separating hyperplane, the k-means clusteringmethod, and the hierarchical clustering method for classifying and clustering probability distri...

Statistical Machine Learning Makes Automatic Control Practical for Internet Datacenters

Horizontally-scalable Internet services on clusters of commodity computers appear to be a great fit for automatic control: there is a target output (service-level agreement), observed output (actual latency), and gain controller (adjusting the number of servers). Yet few datacenters are automated this way in practice, due in part to well-founded skepticism about whether the simple models often ...

investigating the effect of motivation and attitude towards learning english, learning style preferences and gender on iranian efl learners proficiency

تحقیق حاضر به منظور بررسی تاثیر انگیزه و نگرش نسبت به یادگیری زبان انگلیسی، ترجیحات سبک یادگیری و جنسیت بر بسندگی فراگیران ایرانی زبان انگلیسی انجام شد. برای این منظور، 154 فراگیر ایرانی زبان انگلیسی در این تحقیق شرکت کردند. سه ابزار جمع آوری داده ها شامل آزمون تعیین سطح بسندگی زبان انگلیسی آکسفورد، پرسشنامه ترجیحات سبک یادگیری براچ و پرسشنامه انگیزه و نگرش نسبت به یادگیری زبان انگلیسی به م...

Statistical Machine Learning