Machine Learning Fundamentals
About this Course
Do you want to build systems that learn from experience? Or exploit data to create simple predictive models of the world? In this course, part of the Data Science MicroMasters program, you will learn a variety of supervised and unsupervised learning algorithms, and the theory behind those algorithms. Using real-world case studies, you will learn how to classify images, identify salient topics in a corpus of documents, partition people according to personality profiles, and automatically capture the semantic structure of words and use it to categorize documents. Armed with the knowledge from this course, you will be able to analyze many different types of data and to build descriptive and predictive models. All programming examples and assignments will be in Python, using Jupyter notebooks.Created by: The University of California, San Diego
Level: Advanced
Related Online Courses
As part of our Professional Certificate Program in Data Science, this course covers the basics of data visualization and exploratory data analysis. We will use three motivating examples and... more
In this course, gain experience in data visualization and cloud technologies to support business analytics. In the first half of the course, create and share compelling data visualizations to... more
Durante las últimas décadas se ha producido un desarrollo explosivo en las tecnologías de almacenamiento y procesamiento de datos y por tanto un incremento en los volúmenes de información para ser ... more
We are all getting familiar with the image of a drone in the sky. Although flying a drone is fun, drones are not toys. More and more UAVs or drones are used by governments and companies to gain... more
This introductory Excel course will equip you with a strong foundational knowledge of Excel to organize, analyze and work with data. You will develop essential Excel skills, such as simple data... more
Powered by
