Posts by TDS Editors

[ad_1] Using synthetic data isn’t exactly a new practice: it’s been a productive approach for several years now, providing practitioners with the data they need for their projects in situations…

[ad_1] Whether you’re applying to your first internship to running a multidisciplinary team of analysts and engineers, data science careers come with their own specific set of challenges. Some of…

[ad_1] Python is instrumental in so many data science and machine learning workflows that it can sometimes just blend into our daily rhythm; how often, after all, do you think…

[ad_1] 2023 may have been the year of the LLM—we highlighted our most popular articles on ChatGPT and related topics last week—but data science and machine learning are far too…

[ad_1] When accessible large language models first came on the scene, the excitement was impossible to miss: beyond their sheer novelty, they came with the promise to completely transform numerous…

[ad_1] We’ve been feeling a nice jolt of energy in the past month, as many of our authors switched gears from summer mode into fall, with a renewed focus on…

[ad_1] We tend to think of learning curves as neat, smooth, continuously upwards-trending lines. Look close enough at any learning journey, though, and you’ll see numerous dips and plateaus along…

[ad_1] The best writing on math and stats pulls off a difficult feat: it takes lofty concepts and complex formulas and connects them to the practical challenges data professionals tackle…

[ad_1] In just a few short months, large language models moved from the realm of specialized researchers into the everyday workflows of data and ML teams all over the world.…

[ad_1] Python might be the bread-and-butter coding language for data scientists and ML practitioners, but the benefits of becoming a programming polyglot are as clear as ever. The projects that…