Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given practical speech recognition, effective web search and a vastly improved understanding of the human genome. Machine learning is so pervasive today that we probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI.
FinTech Business Solutions will explore the most effective machine learning techniques and implementing them and getting them to work for our clients in the FinTech industry. More importantly, we will discover not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems in FinTech. We provide a broad solution to machine learning, datamining, and statistical pattern recognition in FinTech. Topics include: Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).