Author: Jason Brownlee What neural network is appropriate for your predictive modeling problem? It can be difficult for a beginner to the field of deep […] Read More
Author: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
Author: Gregory Piatetsky I talk to Kirill Eremenko about my journey to data science, how KDnuggets started, why you should start honing your machine learning […] Read More
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Author: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for […] Read More
Author: Gregory PS Editor The Machine Learning with TensorFlow on Google Cloud Platform Specialization on Coursera will help you jumpstart your career, includes hands-on labs, […] Read More
Author: Vincent Granville This is my presentation for the IBM data science day, July 24. Abstract After reviewing popular techniques used in supervised, unsupervised and […] Read More
Author: Gregory PS Editor Learn product analytics best practices and the “meta” perspective from a practitioner who is building products that anybody, including product managers, […] Read More
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Author: Jason Brownlee Stochastic gradient descent is a learning algorithm that has a number of hyperparameters. Two hyperparameters that often confuse beginners are the batch […] Read More
Author: Zygmunt Z. Go to Source