Building a quality machine learning model for text classification can be a challenging process. You need to build a training dataset, test different parameters for your model, fix the confusions, among other things. On this post, we will describe the pro...
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This post is a summary of my top 10 design and machine learning insights discussed at Google IO 2021. In this list, I'll focus on… (more…)
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18.S096 - Applications of Scientific Machine Learning - GitHub - mitmath/18S096SciML: 18.S096 - Applications of Scientific Machine Learning... (more…)
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From a computer’s standpoint, the difficulty in pattern recognition is one of surplus: with an endless variety of patterns, all… (more…)
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Dubbing and localization often remain a headache and a significant drain on revenue. Let's take a look at how technology has changed this space over the past 5 years. (more…)
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