Kings College London (KCL)

Research Methods 3

As a 1st Class Machine Learning student, I've navigated through the fundamental concepts and techniques in our Machine Learning course at King's College London. The course begins with an "Introduction to Machine Learning," where we cover the basics of algorithms learning from data to make predictions without explicit programming. Key areas include "Supervised Learning" such as "Regression" and "Classification," where models learn from labeled data to predict continuous or categorical o...

Complete and revised notes from lectures original lecture notes that have been made more concise and descriptive, according to the learning objectives described for exams.

Complete and revised notes from lectures original lecture notes that have been made more concise and descriptive, according to the learning objectives described for exams.

Complete and revised notes from lectures original lecture notes that have been made more concise and descriptive, according to the learning objectives described for exams.

Complete and revised notes from lectures original lecture notes that have been made more concise and descriptive, according to the learning objectives described for exams.

Complete and revised notes from lectures original lecture notes that have been made more concise and descriptive, according to the learning objectives described for exams.

Complete and revised notes from lectures original lecture notes that have been made more concise and descriptive, according to the learning objectives described for exams.

Complete and revised notes from original lecture notes that have been made more concise and descriptive, according to the learning objectives described for exams.

usable for both SL and HL