Showing 1–12 of 18 results
In this course, you'll define clustering for ML applications, prepare data for clustering, define similarity for your dataset, compare manual and supervised similarity measures, use the k-means algorithm to cluster data, evaluate the quality of your clustering result.
Google Advanced, Intermediate 4 hours
By the end of this course, you will have designed NLP applications that perform question-answering and sentiment analysis, created tools to translate languages and summarize text, and even built a chatbot!
deeplearning.ai Intermediate 14 hours
In this course, you will learn the foundations of deep learning. This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications.
deeplearning.ai Intermediate 20 hours
The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods.
Reaktor, University of Helsinki Beginner 6 weeks
In this free TensorFlow course, you will be able to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions.
IBM Advanced 10 hours, Self-paced