Collection of Interactive Machine Learning Examples
Table of Contents

Each seed is a machine learning example you can start playing with. Explore, learn and grow them into whatever you like.
Source: google.com

Each seed is a machine learning example you can start playing with. Explore, learn and grow them into whatever you like.
Source: google.com
Bloomberg presents ‘Foundations of Machine Learning,’ a training course that was initially delivered internally to the company’s software engineers as part of its ‘Machine Learning EDU’ initiative. This course covers a wide variety of topics in machine learning and statistical modeling. The primary goal of the class is to help participants gain a deep understanding of the concepts, techniques and mathematical frameworks used by experts in machine learning.
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The last few years have seen developments in machine learning research and commercialisation that have been pretty astounding. As just a few examples: Image recognition starts to achieve human-level accuracy at complex tasks, for example skin cancer classification. Big steps forward in applying neural networks to machine translation at Baidu, Google, Microsoft etc.
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Deep convolutional network architectures are often assumed to guarantee generalization for small image translations and deformations. In this paper we show that modern CNNs (VGG16, ResNet50, and InceptionResNetV2) can drastically change their output when an image is translated in the image plane by a few pixels, and that this failure of generalization also happens with other realistic small image transformations. Furthermore, the deeper the network the more we see these failures to generalize.
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