Machine learning offers a variety of techniques and models you can choose based on your application, the size of data you're processing, and the type of problem you want to solve. A successful deep learning application requires a very large amount of data (thousands of images) to train the model, as well as GPUs, or…
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Topic Modeling with Latent Semantic Analysis by Aashish Nair
Essentially, its values show the strength of association between each document and its derived topics. The matrix has n x r dimensions, with n representing the number of documents and r representing the number of topics. Topic modeling is an unsupervised learning approach that allows us to extract topics from documents. The sentences of corpus…
read moreChatbots vs conversational AI: Whats the difference?
To improve your chatbots and conversational agents for online learning, you should use the data and feedback from your evaluation to identify the strengths, weaknesses, opportunities, and challenges of your chatbot or conversational agent. You should also test and iterate regularly to fix bugs, optimize performance, update features, and add content. Additionally, involve your learners…
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