PK Score
axios is winner.
axios is better than cs273a-introduction-to-machine-learning.
More interesting! Play with axios's owner and cs273a-introduction-to-machine-learning's owner PK.
open Graph Image
open Graph Image
description
Introduction to machine learning and data mining How can a machine learn from experience, to become better at a given task? How can we automatically extract knowledge or make sense of massive quantities of data? These are the fundamental questions of machine learning. Machine learning and data mining algorithms use techniques from statistics, optimization, and computer science to create automated systems which can sift through large volumes of data at high speed to make predictions or decisions without human intervention. Machine learning as a field is now incredibly pervasive, with applications from the web (search, advertisements, and suggestions) to national security, from analyzing biochemical interactions to traffic and emissions to astrophysics. Perhaps most famously, the $1M Netflix prize stirred up interest in learning algorithms in professionals, students, and hobbyists alike. This class will familiarize you with a broad cross-section of models and algorithms for machine learning, and prepare you for research or industry application of machine learning techniques. Background We will assume basic familiarity with the concepts of probability and linear algebra. Some programming will be required; we will primarily use Matlab, but no prior experience with Matlab will be assumed. (Most or all code should be Octave compatible, so you may use Octave if you prefer.) Textbook and Reading There is no required textbook for the class. However, useful books on the subject for supplementary reading include Murphy's "Machine Learning: A Probabilistic Perspective", Duda, Hart & Stork, "Pattern Classification", and Hastie, Tibshirani, and Friedman, "The Elements of Statistical Learning".
description
Promise based HTTP client for the browser and node.js
homepage
https://axios-http.com
url
https://githubhelp/ashcat2005/cs273a-introduction-to-machine-learning
url
https://githubhelp/axios/axios
owner Avatar
owner Avatar
Recommend Projects
-
-
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. 📊📈🎉
-
Recommend Topics
-
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.
-
Recommend Org
-
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.
-