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Name: Xiao Wang(Hsiao Wong)
Type: User
Company: University of Washington
Location: Seattle
Name: Xiao Wang(Hsiao Wong)
Type: User
Company: University of Washington
Location: Seattle
Course description: Artificial intelligence is a broad field encompassing computational models of human cognition, formal systems for representing and processing symbolic information, expert systems technology, and a variety of techniques for learning, understanding signals, and solving problems. This course provides a basic introduction to key techniques: state-space search, game-playing, probabilistic reasoning, and learning. Over the last 50 years the field has grown tremendously, and this course can only scratch the surface within the field. This course begins with a discussion of what "artificial intelligence" means and how it can be useful. Next is a grounding in state-space search, problem formulation and solving. We then consider state-space search in the context of game playing, which then leads to alpha-beta pruning, expectimax search and the modeling of uncertainty. After that, we focus primarily on machine learning, starting with methods for reasoning under uncertainty. We cover learning of decision trees from examples, reinforcement learning in Markov Decision Processes, perceptron learning, and deep learning. We touch briefly on the future of AI. The teaching methodology combines lectures, in-class and out-of-class exercises, and programming assignments.
sorting and searching, divide and conquer, greedy algorithms, dynamic programming. Data structure : stack and queue, priority queue, binary tree, Doubly-Linked Lists,Dynamic Arrays and Amortized Analysis, Hash Tables ... etc.
Dynamic Mode Decomposition
This is a fast PCS code implemented by James McQueen and me.
Computation and simulation are increasingly important in all aspects of science and engineering. At the same time writing efficient computer programs to take full advantage of current computers is becoming increasingly difficult. Even laptops now have 4 or more processors, but using them all to solve a single problem faster often requires rethinking the algorithm to introduce parallelism, and then programming in a language that can express this parallelism. Writing efficient programs also requires some knowledge of machine arithmetic, computer architecture, and memory hierarchies.
Notes, slides, and code from the in-class lectures.
megaman: Manifold Learning for Millions of Points
Ongoing project aiming to build a big project within 4 months that emphasizes the GUI - the Graphical User Interface and pattern recognition. We will build a gesture based music notation system.
Open Source Computer Vision Library
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.