CS224W | Home
Content What is this course about? Complex data can be represented as a graph of relationships between objects. Such networks are a fundamental tool for modeling social, technological, and biological systems. This course focuses on the computational, algorithmic, and modeling challenges specific to the analysis of massive graphs. By means of studying the underlying graph structure and its features
CSC321 Winter 2018
CSC 321 Winter 2018 Intro to Neural Networks and Machine Learning Source: CycleGAN. You will implement this model for Assignment 4. Overview Machine learning is a powerful set of techniques that allow computers to learn from data rather than having a human expert program a behavior by hand. Neural networks are a class of machine learning algorithm originally inspired by the brain, but which have r
Hello World - Machine Learning Recipes #1
Six lines of Python is all it takes to write your first machine learning program! In this episode, we'll briefly introduce what machine learning is and why it's important. Then, we'll follow a recipe for supervised learning (a technique to create a classifier from examples) and code it up. Follow https://twitter.com/random_forests for updates on new episodes! Subscribe to the Google Developers:
Learning From Data - Online Course (MOOC)
A real Caltech course, not a watered-down version 8 Million Views on YouTube & other servers Article about the course in Free, introductory Machine Learning online course (MOOC) Taught by Caltech Professor Yaser Abu-Mostafa [article] Lectures recorded from a live broadcast, including Q&A Prerequisites: Basic probability, matrices, and calculus 8 homework sets and a final exam Topic-by-topic video
mlss:start [mlss]
Dates: June 13 (Monday) to June 24 (Friday), 2011 Venue: Purdue University, West Lafayette, Indiana Hosts: Departments of Statistics and Computer Science. Additional support: Purdue University Discovery Park. Machine Learning is a foundational discipline of the Information Sciences. It combines deep theory from areas as diverse as Statistics, Mathematics, Engineering, and Information Technolog
Machine Learning Summer School (MLSS ), Bordeaux 2011
Machine Learning Summer School (MLSS ), Bordeaux 201110 Videos · Sep 4, 2011 The school provides tutorials and practical sessions on basic and advanced topics of machine learning by leading researchers in the field. The summer school is intended for students, young researchers and industry practitioners with an interest in machine learning and a strong mathematical background. The school addresses
Sign in - Google Accounts
Not your computer? Use a private browsing window to sign in. Learn more about using Guest mode
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
CS 329S | Home
CSE 291A: Advanced Data Analytics and ML Systems
Top-down learning path: Machine Learning for Software Engineers | Kaggle
GitHub - ZuzooVn/machine-learning-for-software-engineers: A complete daily plan for studying to become a machine learning engineer.
Machine Learning Training | deepsense.ai
Machine Learning
Hands-on Introduction to Machine Learning - with just enough math (Seattle)
Authn | edX
Artificial Intelligence - Berkeley (Spring 2014)
Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
Large Scale Learning at Twitter
Machine Learning | Coursera
Data Science + Analytics Blog - Alteryx
