Introduction to Machine Learning
University of Gävle
Startdatum:
Slutdatum:
Studietakt: 25 %
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Kod: DVG337
In today's data-driven world, machine learning is revolutionizing industries from healthcare to finance to entertainment, and it is becoming increasingly essential to many fields. So, whether you are a student or a professional in the industry, machine learning skills are in demand. This course is a perfect starting point to gain the skills needed to succeed in this exciting and rapidly growing field. Throughout the course, you will gain an in-depth understanding of supervised, unsupervised, and reinforcement learning methods and their practical considerations. You will be able to explain the ideas, assumptions, and intuition behind different machine-learning approaches and analyze relevant applications. The lectures, assignments, and project work are designed to provide you with hands-on experience in implementing machine learning methods in different applications. This course provides basic machine-learning skills to anyone interested in pursuing a career in data science, computer vision, or natural language processing but can be very useful in lots of other professions as well.
Completed courses of at least 30 cr in Computer Science and Mathematics, including the courses Programming Methodology 7,5 cr and Linear Algebra 7,5 cr, or equivalent
Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.
University of Gävle
Startdatum:
Slutdatum:
Studietakt: 25 %
Hämtad: .
Publicerad: .
Publiceringsversion: 8e217193-f5fa-4778-b085-a4521fd03e8d
Kontrollsumma: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Senast ändrad enligt källan: 2025-12-11T12:10:01