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Machine Learning vs Deep Learning Machine Learning Deep Learning [Difference]


This Learnaholic India video covers the topic like Learn the differences between machine learning and deep learning in learnaholic india. Machine Learning Deep Learning [Difference] Machine Learning vs Deep Learning This video outline several points like: What is machine learning?

2018 Trends in AI & Machine Learning - AI Trends


Previous Webinars – This webinar looks ahead to 2018 and developments we might see in the development and application of artificial intelligence and machine learning. With the pace of change so rapid in this area, predictions may be especially hard, but we will look at overall trends and pinpoint some areas of expected innovation. We will also examine the use cases we're seeing now and expect to see in 2018. And while it's very still very early days in the evolution of AI/ML but we will also look at areas of potential caution as the technology and market for it evolves.

The Ultimate Learning Machines


The future of artificial intelligence depends on designing computers that can think and explore as resourcefully as babies do.

Schools Line Up AI, Machine-Learning Courses for Executives


Some of the nation's top schools, including the Massachusetts Institute of Technology and Georgetown University, are offering educational programs for nontechnical senior managers looking to learn more about artificial intelligence and its business applications. These programs are designed to be crash courses in AI, covering machine learning, robotics and other topics. They can vary in duration and delivery--some are multiweek online offerings, others are multiday boot camps--and typically land in the $3,000-a-student range.

Building My First Deep Learning Machine


First of all, myth busted: the 1080 Ti can run minesweeper effortlessly. The machine did restart itself once for no obvious reasons after the proprietary GPU driver was installed. Back to the topic… Here is some R code for fitting a "wide and deep" classification model with Tensorflow and Tensorflow Estimators API. The model is fundamentally a direct combination of a linear model and a DNN model. The synthetic data has 1 million observations, 100 features (20 being useful) and is generated by my R package msaenet.