Editors Pick

Past is Prologue: How Conversational Analytics Is Changing Data Work

— We’ve Been Down This Road Many who've come before have bemoaned the analytics dashboard. Dashboards may contain a variety of information but not much in the way in which of insight. They could...

How I Used ChatGPT to Land My Next Data Science Role

Up to now, I wrote about how recent AI developments are changing data science interview loops from a hiring manager’s perspective.  I went through several interviews myself. Job hunting is at all times stressful....

Classical Computer Vision and Perspective Transformation for Sudoku Extraction

of AI hype, it looks like everyone seems to be using and enormous for each problem in Computer Vision. Many individuals see these tools as one-size-fits-all solutions and immediately use the...

Prediction vs. Search Models: What Data Scientists Are Missing

As data scientists, we’ve turn out to be extremely focused on constructing algorithms, causal/predictive models, and advice systems (and now genAI). We optimize for accuracy, fine-tune hyperparameters, and search for the subsequent big fancy...

AI Engineering and Evals as Latest Layers of Software Work

look quite the identical as before. As a software engineer within the AI space, my work has been a hybrid of software engineering, AI engineering, product intuition, and doses of user empathy. With a...

Constructing Fact-Checking Systems: Catching Repeating False Claims Before They Spread

: Why We Need Automated Fact-Checking Compared to the standard media, where articles are edited and verified before getting published, social media modified the approach completely. Suddenly, everyone could raise their voice. Posts are shared...

Eulerian Melodies: Graph Algorithms for Music Composition

composers are known to reuse motifs (i.e., characteristic note progressions or melodic fragments) across their works. For instance, famous Hollywood composers corresponding to John Williams (, , ) and Hans Zimmer (, ,...

Notes on LLM Evaluation

, one could argue that the majority of the work resembles traditional software development greater than ML or Data Science, considering we regularly use off-the-shelf foundation models as a substitute of coaching them ourselves....

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