The article discusses integrating Python, R, and Julia in a single Jupyter Notebook to enhance data analysis efficiency. It outlines prerequisites for setup, including installing necessary kernels and libraries, and provides examples of how to write code in each language within the notebook. The integration allows for combining machine learning, fast data preparation, and visualization seamlessly.

Recent advances in AI, particularly generative large language models, enhance scientific research by improving efficiency and reducing costs. Key applications include AI-augmented annotations, AI-assisted programming, content-based file management, grammar correction, and brainstorming ideas. Tools like Label Studio, GitHub Copilot, Riffo, and BotAI are recommended for various tasks in the research pipeline.

We used GitHub private repositories for code backup, collaboration, and data synchronization. These repositories share all code crucial for replication within our teams. Moreover, Git enables us to trace previous changes. This incident underscores the importance of real-time synchronization and code backups.

Causal inference has long been a prevalent methodology in political science and economics, but its adoption within the field of communications has been slower, albeit increasing. This post aims to gather pioneering studies that utilize causal inference within the field of communications.

Thomas S. Kuhn wrote that scientific progress involves both minor revisions during normal periods and major revolutions during abnormal periods. Recently, abnormal advances in artificial intelligence are approaching a potentially disruptive stage, as evidenced by the widespread recognition of GPT-4, the most advanced and astonishing language model. Nonetheless, the model elicits both satisfaction and contentious debate for its ramifications, wherein Chromesky’s assertions are both correct and wrong.

LaTeX-OCR is a well-known, open-source, and free OCR recognition tool that is widely used as an alternative to Mathpix. However, due to compatibility issues with cross-platform modules such as pytorch and qt, installing this tool on an arm64 host requires certain operations.

Polars is an alternative to Pandas that I've heard about but never actually used. According to itself, it is a "blazingly fast DataFrames" - can you believe that? In this article, I tested it in my own common environment, and it's really fast.

A network is a representation of connections among a set of nodes and edges.

We used logistic regression and random forest to predict user behaviors on a Chinese social network, Weibo.

Process, LAVAAN, SEM, R, and Rstudio

This project uses several machine learning models to predict reservation cancellation. Among them, DART in LightGBM beats other competitors with highest testing accuracy (table) and also other metrics.

This issue is related to Sklearn, one solution is to state a eligible Solver .

For .reindex , from 0.21.0, .loc or [] are not allowed to index with a list with one or more missing labels in Pandas。

This is a lecture note of mine.