Machine Learning

discussed about classification metrics like ROC-AUC and Kolmogorov-Smirnov (KS) Statistic in previous blogs. In this blog, we will explore another...

in machine learning are the same. Coding, waiting for results, interpreting them, returning back to coding. Plus, some intermediate presentations...

to preparing videos for machine learning/deep learning. Due to the size and computational cost of video data, it is vital...

, clients and stakeholders don’t want surprises. What they expect is clarity, consistent communication, and transparency. They want results, but...

composers are known to reuse motifs (i.e., characteristic note progressions or melodic fragments) across their works. For example, famous Hollywood...

, a little optimisation goes a long way. Models like GPT4 cost more than $100 millions to train, which makes...

The of this article is to explain that, in predictive settings, imputations must always be estimated on the training set...

: Why We Need Automated Fact-Checking In comparison to the traditional media, where articles are edited and verified before getting...

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Getting Started In part 1 we walked through the process of setting up a board game recommendation system leveraging FastAPI...