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As many people are getting into the ultimate stretch of summer season, why not benefit from the calmer weeks earlier than a sometimes hectic September kicks in and discover new subjects in information science and machine studying?
To assist all of the learners and skill-growers amongst our readers, this week we’re presenting a particular version of The Variable, devoted solely to our greatest current deep dives (and different articles that demand a bit extra time and focus than ordinary). Their studying time is perhaps longer, however they do a improbable job protecting their respective subjects with nuance, care, and an eye fixed in direction of sensible purposes. We hope you get pleasure from our choice.
- A Practical Guide to Contrastive Learning
Helpful for studying underlying information representations with none express labels, contrastive studying comes with quite a few real-world use circumstances; Mengliu Zhao guides us by means of the method of constructing a SimSiam mannequin utilizing the instance of the FashionMNIST dataset. - Paper Walkthrough: Vision Transformer (ViT)
We’re at all times within the temper for a stable, thorough paper evaluation—and much more so when it covers a groundbreaking idea like imaginative and prescient transformers. For those who’re new to this matter or wish to develop your current data of ViT, don’t miss Muhammad Ardi’s debut TDS article. - Speeding Up the Vision Transformer with BatchNorm
Let’s stick with the imaginative and prescient transformer for a bit longer: in the event you’re already aware of it however might use some assist making your workflows extra environment friendly and streamlined, Anindya Dey, PhD supplies a complete information to integrating batch normalization into an encoder-only transformer structure, resulting in lowered coaching and inference time. - Enhancing E-Commerce with Generative AI — Part 1
A few of the promised advantages of just lately launched AI instruments stay to be seen. Mina Ghashami presents a brand new sequence that focuses on use circumstances the place generative-AI purposes are already poised to make an actual influence, beginning with one of the vital frequent (and business-critical) duties for e-commerce platforms: product suggestions.
- Causal Inference with Python: A Guide to Propensity Score Matching
Bringing concept and apply collectively, Lukasz Szubelak invitations us to discover the ins and outs of causal inference in his affected person deep dive, which focuses on propensity rating matching as a strong approach for estimating remedy results in non-randomized settings. - ChatGPT vs. Claude vs. Gemini for Data Analysis (Part 1)
ML practitioners are dealing with an more and more troublesome selection when deciding which LLM-powered merchandise to decide on. Yu Dong’s new sequence goals to convey readability to an often chaotic ecosystem by evaluating the efficiency of three main choices (ChatGPT, Claude, and Gemini) in important data-analysis duties—on this case, writing SQL queries. - Omitted Variable Bias
Studying Sachin Date’s math and statistics explainers is at all times a spotlight for us—and his newest, on “one of the vital often occurring, and simply missed, biases in regression research” is not any exception. We invite you to discover his deep dive on the omitted variable bias, which additionally outlines a number of approaches for analyzing and estimating its results.