Engineering and Technology
Learn the basic concepts in theoretical computer science. Discover what they imply for solving tough computational challenges.
The course Intro to Theoretical Computer Science on Udacity delves into challenging problems and their analysis. It explores the concept of hardness and introduces the idea of NP-completeness. The course equips students with tools to recognize and prove the hardness of a problem. It also teaches smart techniques to solve seemingly impossible problems and gain speed through approximate solutions. Additionally, the course introduces the role of randomness in problem-solving and provides an introduction to complexity classes. Finally, it explores the ultimate limits of problems that cannot be solved by any computer, at least in theory.
by Udacity
Learn the basic concepts in theoretical computer science. Discover what they imply for solving tough...
by Udacity
Dive deep into the fundamental theoretical and practical topics related to deep learning.
by Udacity
Learn how to engage with machine learning from a theoretical perspective. Explore automated decision...
by Udacity
Learn the basics of deep learning and implement your own deep neural networks with PyTorch
by Udacity
Learn how to perform asynchronous requests as you build a web app with data from Google Street View,...
by Udacity
This class will give you an introduction to the design and analysis of algorithms, enabling you to a...
by Udacity
This course will introduce you to the basics of AI. Topics include machine learning, probabilistic r...
by Udacity
Learn to build a multiuser blog with Google App Engine that permits users to sign in
by Udacity
Explore a variety of datasets, posing and answering your own questions about each. You'll be using t...
by Udacity
In this short course, learn the fundamentals of MapReduce and Apache Hadoop to start making sense of...