Numpy is open source numeric and scientific computations library created around 2005. Numpy is also highly popular in scientific community and has recently been used to perform computations needed to discover black holes and gravitational waves. It provides a multidimensional
Data-Driven Business Process Improvement
Process analytic approaches allow organizations to support the practice of Business Process Management and continuous improvement by leveraging all process-related data to identify performance bottlenecks, reduce costs, extract insights and optimize the utilisation of available resources. For a long time
Strategies for Preventing model overfitting
Overftting is typically a result of using too complex models, and we need to choose a proper model complexity to achieve the optimal bias-variance tradeoff. Cross-validation and Regularization are two key techniques in machine learning to prevent overfitting. 1. Cross-validation:
What is the bias-variance tradeoff?
In this blog post we will try to cover the following questions: 1. What’s the bias-variance trade-off? 2. How’s this tradeoff related to overfitting and underfitting? 3. How do you know that your model is high variance, low
A long introduction to Machine Learning
Machine learning is closely related to Artificial intelligence * AI is about building machines or intelligent agents that exhibit intelligence. * ML enables machines to learn from experience, and is a sub-field of AI. * Deep learning focuses on a family of learning
Four useful data Analysis concepts
"The first principle is that you must not fool yourself, and you are the easiest person to fool." Cone of Possibilities Designers use a similar process [2]. Mature designer have a structured way of thinking where he/she
DeepRL based Clinical Decision Support for Sepsis treatment in emergency room
Business processes assist organizations in organizing activities that deliver business value, usually in the form of a product or a service. Over the last few years, some of the focus of BPM research has shifted to supporting knowledge-intensive processes. Such
On Software Engineering
A number of these phenomena have been bundled under the name “Software Engineering”. As economics is known as “The Miserable Science”, software engineering should be known as “The Doomed Discipline”, doomed because it cannot even approach its goal since its