Author: Gregory Piatetsky Coming soon: PASS Summit Seattle, TDWI Orlando, IEEE Conf on Data Mining Singapore, AI & Big Data Innovation Summit 2018 Beijing, Deep […] Read More
Author: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
Author: Comments Go to Source
Author: Jason Brownlee Time series forecasting with LSTMs directly has shown little success. This is surprising as neural networks are known to be able to […] Read More
Author: Matt Mayo Editor Also: Implementing Automated Machine Learning Systems with Open Source Tools; New Book: #LinearAlgebra – what you need for Machine Learning and […] Read More
Author: Vincent Granville Now published. Enterprise AI: An applications perspective takes a use case driven approach to understand the deployment of AI in the Enterprise. […] Read More
Author: Rob Matheson | MIT News Office Children learn language by observing their environment, listening to the people around them, and connecting the dots between […] Read More
Author: Gregory PS Editor Planning and implementing new data and analytics initiatives can be overwhelming. Join us in Orlando for in-depth training that will give […] Read More
Author: Vincent Granville This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, […] Read More
Author: Jason Brownlee Machine learning and deep learning methods are often reported to be the key solution to all predictive modeling problems. An important recent […] Read More
Author: Rob Matheson | MIT News Office MIT researchers have developed a novel “unsupervised” language translation model — meaning it runs without the need for human […] Read More