A brief introduction to machine learning

Machine learning has generated quite the buzz – from Elon Musk fearing the role of unregulated artificial intelligence in society, to Mark Zuckerberg having a view that contradicts Musk's. 

So, what exactly is machine learning? Simply put, machine learning is a set of methods that can detect patterns in data and use those patterns to make future predictions. Machine learning has found immense value in a wide range of industries, ranging from finance to healthcare. This translates to a higher requirement of talent with the skill capital in the field of machine learning. 

Broadly speaking, machine learning can be categorized into three main types:

• Supervised learning
• Unsupervised learning
• Reinforcement learning

Scikit-learn is designed to tackle problems pertaining to supervised and unsupervised learning only, and does not support reinforcement learning at present.