Equipping you with practical skills in using Python for machine learning tasks. Covering many concepts and hands-on examples, the day delves into various machine learning algorithms, data preprocessing techniques, and model evaluation methods.
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Based on Harvard's famed introductory course in computer science, CS50 is now available at Oxford. This course teaches you how to solve problems, both with and without code, with an emphasis on correctness, design, and style.
Gain insight into the most important programming tools using the Python programming language, for obtaining data, bringing it into a usable form, exploring and modelling it, and for presenting discoveries to a wider audience.
Gain insight into advanced data science programming tools, using the Python programming language, to extract features from data, assess the statistical significance of the results found, and scale up the computational capability for big data challenges.
Unveil the dark web’s role in cybercrime, from stolen data markets to ransomware. Explore how extremists exploit cyberspace for recruitment, intelligence, and sabotage. Investigate modern slavery’s digital ties to lethal cyber terrorism.
Gain insight into the most important programming tools using the Python programming language, for obtaining data, bringing it into a usable form, exploring and modelling it, and for presenting discoveries to a wider audience.
Explore the criminal underworld of cyberspace. Discover how the dark web facilitates illegal hacking and how ransomware is disrupting our societies, and learn how governments are fighting back.
Calculus is a 'sine qua non' for studying more advanced mathematics, physics, statistics, machine learning and data science. This course will introduce you to the vocabulary and techniques that open the panorama of science and engineering.
Infectious disease modelling utilises data and our understanding of disease biology to provide public health insights. Aimed at a general audience, this course will cover methods for modelling disease transmission in statistical programming language R.
Learn about R programming with this online course. At an introductory level, this course provides you with a solid foundation of the R programming language. Here you will learn the basics of R and gradually move to data processing and manipulation.
Linear Algebra is fundamental to Geometry, Statistics, Analysis and most topics in Mathematics. From solving linear equations to abstraction, this course develops deeper knowledge with rigorous proofs. This follows on from Linear Algebra: Introduction.
Linear algebra and its matrices appear throughout the sciences and in the mathematical parts of the social sciences. This basic course is a prerequisite to understanding advanced mathematics and myriad closely and distantly related quantitative fields.