From image recognition to autonomous vehicles to predictive analytics in healthcare, artificial intelligence (AI) applications are exploding today. Taking a conscious look at the methodology… Read More »An Overview of the Role Data Plays in AI Development
Over the years of working on commercial AI projects, I have come across various products and business domains that have adopted machine learning algorithms. This experience helped me form some best practices for selecting the right algorithms for different types of business tasks. In this article, I will share some valuable insights from my experience regarding how to work with them in the most efficient way to meet the client’s business needs.
Like many managers in the corporate world, until recently I thought you should not use these tools. The common theme is that it’s for small… Read More »My First Notebook and Colab Project: Sharing my Thoughts
In less than 100 pages, the book covers all important topics about discrete chaotic dynamical systems. It also includes related time series and stochastic processes,… Read More »New Book: Gentle Introduction to Chaotic Dynamical Systems
Exporting Exchange Database (EDB) files to Personal Storage Table (PST) files is a frequent job in Exchange Server management. This is done for a variety… Read More »Export EDB to PST Exchange 2010 Powershell
Generative AI is suddenly everywhere. Because of this, the future of AI looks very bright indeed. There are many opportunities for generative AI to impact life… Read More »Ten Productivity Hacks using ChaptGPT Generative AI Prompts
The aphorism acknowledges that models of our knowledge always fall short of the complexities of reality but can still be useful nonetheless. With this model background, let us delve into this article focusing on specific technical debt in Machine Learning System development.
When it comes to backup efficiency and copying only the needed data between a full backup and any incremental backups, changed block tracking technology is… Read More »VM backup with Hyper-V Changed Block Tracking (CBT)
This article is intended to users relying on machine learning solutions offered by third party vendors. It applies to platforms, dashboards, traditional software, or even external pieces of code that are too time consuming to modify. One of the goals is to turn such systems into explainable AI.
Technical Debt describes what results when development teams take conscious actions to expedite the delivery of a piece of functionality or a project which later needs to be remediated via refactoring.