Understanding the Benefits Dependency Network - A Key Tool for Project Management
6m
·
Continuous improvement
·
In the realm of project management, understanding how different pieces of a project come together to deliver business value is paramount. The Benefits Dependency Network (BDN) is one such framework that helps teams map out these dependencies to ensure project success. But what is it exactly, and how can it benefit your project? Let's delve deeper. Blog post: https://www.victorleungtw.com/2023/09/15/bdn/
The episode Understanding the Benefits Dependency Network - A Key Tool for Project Management from the podcast Continuous improvement has a duration of
6:14. It was first published
More episodes from Continuous improvement
Understanding AdaBoost and Gradient Boosting Machine
In the realm of machine learning, two of the most potent and widely-used algorithms are AdaBoost and Gradient Boosting Machine (GBM). Both of these techniques are used for boosting, a method that sequentially applies weak learners to improve model accuracy. Let's delve deeper into each of these algorithms, their workings, and differences. Blog post: https://www.victorleungtw.com/2023/12/18/adaboost/
Understanding Bootstrap Aggregation and Random Forest
In the world of machine learning, there are numerous techniques and algorithms that empower predictive modeling and data analysis. Two such powerful methods are Bootstrap Aggregation, commonly known as Bagging, and Random Forest. These techniques are widely used for their robustness and ability to improve the accuracy and stability of machine learning models. Blog post: https://www.victorleungtw.com/2023/12/17/bootstrap/
Understanding Inertia and Silhouette Coefficient - Key Metrics in Clustering Analysis
Clusteringis a fundamental technique in data science and machine learning, used for grouping similar data points together. Among the various metrics to evaluate the quality of clustering,InertiaandSilhouette Coefficientstand out for their insightful feedback on cluster quality. Let's dive into what these metrics are and how they help in analyzing clusters.
Blog post: https://www.victorleungtw.com/2023/12/16/inertia/
Understanding Regularization - Lasso, Ridge, and Elastic Net Regression
In the field of machine learning and statistical modeling, regularization is a crucial technique used to prevent overfitting and improve the generalization of models. This blog post will delve into three popular regularization methods: Lasso, Ridge, and Elastic Net Regression, elucidating how they function and when to use them. Blog post: https://www.victorleungtw.com/2023/12/15/regularization/
Go To Market (GTM) Strategy
In this podcast, I am comparing the Go-to-Market (GTM) strategies of two organizations in the banking industry: the Development Bank of Singapore (DBS) as an incumbent and Trust Bank as a disruptor. Over the last few years, advancements in technology and shifts in consumer behavior have led to significant changes. Established players like DBS face challenges from local digital banks that hold full banking licenses in Singapore, including Trust Bank, which was jointly launched by the FairPrice Group and Standard Chartered Bank.
Blog post: https://www.victorleungtw.com/2023/12/14/gtm/