University of Melbourne

Fundamentals of Machine Learning

University of Melbourne via Complexity Explorer

Complexity Explorer

2 Courses


The University of Melbourne is a research-intensive, comprehensive university that offers world-class education, research, and innovation opportunities to students from all over the globe.

Overview

Discover the exciting world of Machine Learning with our comprehensive tutorial at the University of Melbourne, provided by Complexity Explorer. This field of study has become a fundamental part of our daily lives, with its impact seen in a variety of applications such as voice recognition, text analysis, and enhancing research insights. Despite its widespread usage, the intricacies of how machine learning functions remain a mystery to many.

Join Dr. Artemy Kolchinsky and Dr. Brendan Tracey as they demystify machine learning, presenting its concepts in an easily understandable manner. This course covers the essential principles of training and generalization within machine learning, utilizing metaphors and visual examples for clarity. It delves into machine learning applications in gaming, offering a detailed case study, and explores the role of deep neural networks, which are at the heart of successful machine learning ventures. Furthermore, it discusses the appropriate contexts for employing machine learning and highlights its application in scientific research.

Suitable for learners at all levels, this introductory course will guide you through one of the most significant engineering advancements of our era. Whether you're just starting out or looking to deepen your understanding of machine learning, this tutorial is designed to provide a well-paced and insightful introduction. Enroll now to explore the categories of Machine Learning Courses, Neural Networks Courses, Supervised Learning Courses, and Intro to Machine Learning Courses.

Syllabus


Taught by

Brendan Tracey and Artemy Kolchinsky


Tags

united states

provider Complexity Explorer

Complexity Explorer

2 Courses


Complexity Explorer

pricing Free Online Course
language English
duration 1 hour
sessions On-Demand