Learn the generic scenarios and techniques of grouping and aggregating data, partitioning and ranking data in SQL, which will be very helpful in reporting requirements.
If you are considering transitioning from Microsoft Windows to another operating system that suits your needs, check out these five Linux distributions for data science and machine learning.
This article has provided a brief overview of ChatGPT and its capabilities. It also discussed the importance of efficient data analysis and the benefits of integrating it into the analysis process.
Want to start your data science journey from home, for free, and work at your own pace? Have a dive into this data science roadmap using the YouTube series.
This article introduces six top-notch, free data science resources ideal for aspiring data analysts, data scientists, or anyone aiming to enhance their analytical skills.
This article has shown how transfer learning can be used to help you solve small data problems, while also highlighting the benefits of using it in other fields.
If you’ve ever had conversations with data professionals, you’ve probably heard “data lineage” pop up quite a few times. So what is data lineage all about, and why is it important?
Learn about the most common questions asked during data science interviews. This blog covers non-technical, Python, SQL, statistics, data analysis, and machine learning questions.
MoCo v3 aims to stabilize training of self-supervised ViTs. MoCo v3 is an incremental improvement of MoCo v1/2. Two crops are used for each image under random data augmentation. They are encoded by two encoders $f_q$ and $f_k$ with output vectors $q$ and $k$. $q$ behaves like a "query", where the goal of learning is to retrieve the corresponding "key". The objective is to minimize a contrastive loss function of the following form: $$
\mathcal{L_q}=-\log \frac{\exp \left(q \cdot k^{+} / \tau\right)}{\exp \l
EgoSchema is very long-form video question-answering dataset, and benchmark to evaluate long video understanding capabilities of modern vision and language systems. Derived from Ego4D, EgoSchema consists of over 5000 human curated multiple choice question answer pairs, spanning over 250 hours of real video data, covering a very broad range of natural human activity and behavior.