Develop basic machine learning skills. Add supervised, unsupervised, and deep learning techniques to your data science toolbox.
Suggested by: Coursera (What is Coursera?)
No prior knowledge required
No unnecessary risks
In the Machine Learning specialization, we will learn about supervised learning, unsupervised learning, and an introduction to deep learning. You will apply machine learning algorithms to real-world data, understand when to use each model and why, and improve the performance of your models.
This specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science or Computer Science degree programs offered on the Coursera platform. These accredited degrees offer focused courses, short 8-week classes, and pay-as-you-go. Admission is based on performance in three prerequisite courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals.
In this internship, you’ll build a movie recommendation system, identify cancers based on RNA sequences, apply CNNs to digital pathology, practice NLP techniques on disaster tweets, and even create dog photos using GANs. You’ll complete a final project in which you’ll apply supervised, unsupervised, and deep learning to demonstrate your expertise in the course.
