Interesting Machine Learning Resources
Online Courses
Published in
1 min readOct 23, 2016
- Andrew Ng’s Stanford course on machine learning is very popular and generally well-reviewed. It’s considered one of the best introductory courses in machine learning and will give you some rigorous preparation for delving into deep learning.
- Udacity has a free, ten week introductory course in machine learning that focuses on both theory and real-world applications. Again, it’s a decent preparatory course for those interested in eventually pursuing deep learning.
- Andrej Karpathy’s “CS231n: Convolutional Neural Networks for Visual Recognition” at Stanford is challenging but well-done course in deep neural networks, and the syllabus and detailed course notes are available online.
- Geoffrey Hinton’s course on “Neural Networks for Machine Learning” is good, and it’s taught by one of the godfathers of the field.
- Udacity “Machine Learning Engineer Nanodegree” is good and comprehensive course.
Blog Posts
- What are the best ways to learn advanced Machine Learning outside academia? Click here
- Data Science and Robots Brandon Rohrer
- The Great A.I. Awakening. Click here
- Nuts and Bolts of Applying Deep Learning by Andrew Ng . Click here
- ML Wave.Click here
- Winning Tips on Machine Learning Competitions by Kazanova, Current Kaggle #3.Click here
- FastML.Click here
