Category: Machine Learning

Author: Jason Brownlee Information gain calculates the reduction in entropy or surprise from transforming a dataset in some way. It is commonly used in the […] Read More

Author: Machine Learning: A Formal Learning Model  ReadWrite Go to Source

Author: Avoiding Garbage in Machine Learning  S&P Global Go to Source

Author: Jason Brownlee Information theory is a subfield of mathematics concerned with transmitting data across a noisy channel. A cornerstone of information theory is the […] Read More

Author: Kim Martineau | MIT Quest for Intelligence A branch of machine learning called deep learning has helped computers surpass humans at well-defined visual tasks […] Read More

Author: With increasing classroom sizes, more paperwork than ever and new mandates from the ministry of education, Japanese teachers face an uphill battle in their […] Read More

Author: The Ultimate Learning Machines  The Wall Street Journal Go to Source

Author: Jason Brownlee Probabilistic models can define relationships between variables and be used to calculate probabilities. For example, fully conditional models may require an enormous […] Read More

Author: Rise Of Machine Learning: Lessons From Google And Facebook  Forbes Go to Source

Author: /u/ML_WAYR_bot This is a place to share machine learning research papers, journals, and articles that you’re reading this week. If it relates to what […] Read More