Switch to English Site

dotsdots

Mathematics for Data Science: Essential Mathematics for Machine Learning and AI

Descripción

A solid foundation in mathematical knowledge is vital for the development of artificial intelligence (AI) systems. What are the key maths skills required to study machine learning and AI?

If you haven’t studied mathematics since school and have forgotten what you’ve learned, this primer course will provide you with the education you need.

What mathematics do I need to know to launch a career in artificial intelligence?

The course will cover the three main branches of mathematics used in data science and artificial intelligence: linear algebra, calculus and probability. You’ll get to learn the essential topics of each of these three areas – from equations, functions and graphs to differentiation and optimisation and vectors and matrices.

Having mastered these concepts and techniques, you’ll have the foundational knowledge to kickstart your machine learning career.Lee mas.

Este recurso es ofrecido por un socio afiliado. Si paga por la capacitación, podemos ganar una comisión para respaldar este sitio.

Relevancia profesional por rol de datos

Las técnicas y herramientas cubiertas en Mathematics for Data Science: Essential Mathematics for Machine Learning and AI son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Científico de datos.

Puntuaciones de similitud (sobre 100)