Friends at IBM published a compelling overview of major areas of focus in the IT landscape for 2026. I found it fascinating and a strong indicator of where the industry is heading. Listed here are the main predictions with short overview. Multi-Agent Orchestration No single model will check all the boxes for every need. Work […]
Category: Machine Learning
My Notes – Machine Learning
Algorithms Measures Low variance vs high variance (high variance is good for model). Dimensionality Reduction Hyperparameter Tuning AWS Services
Using AI to Find the Best Value Car: A Practical Guide
Are you in the market for a new car? I am, and I rely on online car listing aggregators to find my next perfect family hauler. With hundreds of listings, how do you find the best value? As a web programmer, I can’t resist performing some basic web scraping and running “AI-based” data analysis. AI […]
Data Science – Machine Learning
Following are my personal notes that prepared me to take the AWS Certified Machine Learning – Specialty (MLS-C01) exam. Data Processing Encode Values Encoding categorical variables: (panda supports dtype="category") Encoding nominal variables: Handling Missing Values Missing values are very common. Machine learning algorithms can’t handle missing values automatically. Data with too many missing values can’t […]
Essentials – Machine Learning
Following are my personal notes that prepared me to take the AWS Certified Machine Learning – Specialty (MLS-C01) exam. Terminology and Process Effective IA Strategy The flywheel of data (positive feedback loop): more data means better analytics -> better analytics results in better products -> better products means more users -> that generates more data. […]