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Name: hsmith876
Type: User
Name: hsmith876
Type: User
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Interactive Tools for Machine Learning, Deep Learning and Math
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
Projects and exercises for the Udacity Intro to Machine Learning with TensorFlow course
Lecture notes for EC 607
Python and MATLAB code for linear algebra textbook.
:earth_americas: machine learning algorithms tutorials (mainly in Python3)
A curated collection of free Machine Learning related eBooks
Machine Learning for Time-Series with Python.Published by Packt
Andrew NG Coursera Machine Learning Course
machine learning and deep learning tutorials, articles and other resources
A scikit-learn-compatible module for estimating prediction intervals.
Mercury: easily convert Python notebook to web app and share with others
The code from the Machine Learning Bookcamp book and a free course based on the book
Machine learning with Python tutorial at MSU Data Science 2018
The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
YSDA course in Natural Language Processing
Data augmentation for NLP
Jupyter notebooks for the Natural Language Processing with Transformers book
EPFL Course - Optimization for Machine Learning - CS-439
ML Take Home
Interview Take Home Project for the O'Reilly Personalization Team
Repo for Udacity's Secure & Private AI course
Private AI Bootcamp was hosted by Microsoft in Redmond, WA on Dec 2nd-4th, 2019. This repository contains materials offered at the event, including lecture slides, demo codes, etc.
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.