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Author: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
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
Author: Gregory PS Editor This ebook explains the math involved and introduces you directly to the foundational topics in machine learning. Go to Source
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Author: Jay Nair Cognitive Computing is often used interchangeably with artificial intelligence, not that it’s entirely incorrect. MIT Sloan School of Business, for instance, defines […] Read More
Author: Gregory PS Editor Gain expertise in emerging operations, marketing, network analytics, data modeling, data science, and visualization. Next application deadline is Aug 1. Go […] Read More
Author: William Vorhies Summary: Getting an AI startup to scale for an IPO is currently elusive. Several different strategies are being discussed around the industry […] Read More
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Author: Jason Brownlee A large part of applied machine learning is about running controlled experiments to discover what algorithm or algorithm configuration to use on […] Read More