AI News, Machine Learning
- On Wednesday, June 6, 2018
- By Read More
Supervised Learning is an important component of all kinds of technologies, from stopping credit card fraud, to finding faces in camera images, to recognizing spoken language.
Our goal is to give you the skills that you need to understand these technologies and interpret their output, which is important for solving a range of data science problems.
This section focuses on how you can use Unsupervised Learning approaches -- including randomized optimization, clustering, and feature selection and transformation -- to find structure in unlabeled data.
- On Tuesday, March 26, 2019
Reinforcement Learning - Ep. 30 (Deep Learning SIMPLIFIED)
Reinforcement Learning has started to receive a lot of attention in the fields of Machine Learning and Data science. In January of 2016, a team of researchers ...
Machine Learning Explained: Understanding Supervised, Unsupervised & Reinforcement Learning
Once we start delving into the concepts behind Artificial Intelligence (AI) and Machine Learning (ML), we come across copious amounts of jargon related to this ...
Choosing the right ML algorithm
The Microsoft Azure Machine Learning Algorithm Cheat Sheet helps you choose the right machine learning algorithm for your predictive analytics solutions from ...
Machine Learning - Supervised VS Unsupervised Learning
Enroll in the course for free at: Machine Learning can be an incredibly beneficial tool to ..
NIPS 2017 Spotlight - Learning Combinatorial Optimization Algorithms over Graphs
Full paper: Code: Abstract: The design of good heuristics or approximation .
Machine Learning in R - Supervised vs. Unsupervised
Learn the basics of Machine Learning with R. Start our Machine Learning Course for free: ...
Stanford Seminar - Towards theories of single-trial high dimensional neural data analysis
EE380: Computer Systems Colloquium Seminar Towards theories of single-trial high dimensional neural data analysis Speaker: Surya Ganguli, Stanford, ...
How to Make a Text Summarizer - Intro to Deep Learning #10
I'll show you how you can turn an article into a one-sentence summary in Python with the Keras machine learning library. We'll go over word embeddings, ...
The Papers we Love
Hello Data Hackers. For our next meetup we will try out something new and host a “Papers we love” session. You may ask yourself what is that supposed to ...
Machine Learning Methods - Computerphile
We haven't got time to label things, so can we let the computers work it out for themselves? Professor Uwe Aickelin explains supervised and un-supervised ...