In today’s curation, we explore a variety of topics pertinent to the intersection of technology and finance:
- Challenges in the generative AI market regarding business models and costs
- Enhancements made to a data science portfolio using mkdocs and Google Analytics
- Utilizing large language models for efficient parsing of scientific papers
- Building a simple neural network with TensorFlow and PyTorch for revenue prediction
- Six SQL optimization tips for improved performance in Snowflake
Please find the details in the table below.
AI and Gen-AI
| Title | Summary |
|---|---|
| Can Generative AI Sustain Its Costly Growth Without Compromising Innovation and Ethical Standards? (Towards Data Science, 2024-08-01) | The generative AI market faces challenges in defining its business model, balancing between being a product or feature, and sustaining high costs while ensuring meaningful innovation and research. |
Coding
| Title | Summary |
|---|---|
| Effortlessly Build a Stunning Data Science Portfolio with Python and MkDocs: A Step-by-Step Guide (Medium, 2024-08-02) | In 2024, I revamped my data science portfolio using mkdocs for improved aesthetics and functionality, integrating Google Analytics, with a focus on minimal configuration and free solutions. |
| Harnessing the Power of AI for Effortless Scientific Paper Analysis and Metadata Extraction (Medium, 2024-08-02) | This article describes using large language models for parsing scientific research papers. It outlines a structured workflow, metadata extraction process, necessary libraries, and code implementation details for efficient document processing. |
| Effortless Neural Network Building for Beginners: A Practical Guide Using TensorFlow and PyTorch (Deep Learning Illustrated, 2024-08-02) | This guide demonstrates building a simple neural network using TensorFlow and PyTorch to predict ice cream revenue based on temperature and day, emphasising data preparation, model training, and evaluation. |
Data, Databases and Data Science
| Title | Summary |
|---|---|
| Cut Snowflake Query Times by 50 Hours with These Six Simple SQL Hacks for Faster Data Analysis (The name of the blog or website is Snowflake., 2024-08-02) | The author shared six SQL optimisation tips, reducing Snowflake query time by 50 hours daily. Key strategies include selecting necessary columns, analysing query profiles, and utilising Snowflake’s functionality effectively. |