[ad_1] With more and more marketers using data to drive advertising campaigns, the idea of relying on artificial intelligence (AI) to improve how a brand talks to its customers isn’t as strange as it might once have sounded. As many…
[ad_1] First, you’ll create an assistant that uses a list of rules for understanding commands, and you’ll learn why that approach isn’t very good. Next, you will teach the assistant to recognise commands for different devices by training it using…
[ad_1] Getty Despite what the phrase “artificial intelligence” seems to imply, machines do not “think,” as discussed at length in a previous article. However, computers do have a useful machine equivalent to “thinking” and that is math. One way humans…
[ad_1] One of machine learning’s promises is to help humans do things faster and more efficiently. Ironically, one of the roadblocks that keeps businesses and independent developers from capitalizing on ML’s capabilities is that it can be time-consuming and difficult…
[ad_1] Introduction For the past year or two, we have talked a lot about how we can understand the properties of Deep Neural Networks by examining the spectral properties of the layer weight matrices . Specifically, we can form the…
[ad_1] A serie of lectures providing an introductory overview to data science. The speaker discusses the high-level goals of his lecture series, and how data science is about asking and answering questions with data. Machine Learning Machine learning,…
How to Develop a GAN for Generating Handwritten Digits Generative Adversarial Networks, or GANs, are an architecture for training generative models, such as deep convolutional neural networks for generating images. Developing a GAN for generating images requires both a…
Top 10 Machine Learning Algorithms To state, one can not conclude that SVM is a better algorithm than decision trees or linear regression. In this blog, we are going to look into the top machine learning algorithms. A binomial logistical…
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