Understanding What is Regularization in Machine Learning
In machine learning, the pursuit of models that generalise well to unseen (new) data is paramount. However, achieving this balance...
Data occupations: Data Scientist vs Data Engineer vs Data Analyst vs Machine Learning Engineer
Data Occupations In the digital age, the sheer volume of information generated daily has given rise to a multitude of...
Machine Learning Algorithms
ML Modelling Machine learning models are trained programs (also called files, software, processes, or any other type of systems), intending...
Large Language Models (LLM)
LLMs Large language models are complex language models, part of artificial intelligence, which use deep learning techniques through the use...
Reinforcement Learning
What is Reinforcement Learning? Part of machine learning, reinforcement learning deals with intelligent agents aiming to learn through trial and...
Unsupervised Learning
Unsupervised Learning Unsupervised learning is the component of machine learning tackling unlabelled data. The process behind unsupervised machine learning uses...
Supervised Learning
What is Supervised Learning? Supervised learning is part of machine learning, and it deals with labelled data. The operation behind...
Bias/Variance
Bias vs Variance Variance and bias are important concepts of machine learning. Machine learning models are not perfect, and as...
Machine Learning Life Cycle
ML Life Cycle The machine learning life cycle is an iterative flow process, in which each step is connected to...
Underfitting
What is ML Underfitting? Model fitting is an important part of machine learning modelling and the accuracy of the particular...