Disclaimer
⚠️ Tanglefy Disclaimer
Last Updated: March 1, 2026
The information provided on Tanglefy is for general informational and educational purposes only. By using this blog, you agree to the terms outlined below.
1. Educational & Experimental Nature
AI & Deep Learning: Content regarding Deep Learning (DL), Computer Vision (CV), and Artificial Intelligence (AI) reflects the author's personal learning journey. AI models are inherently experimental and may produce "hallucinations" or inaccurate outputs.
Code Snippets: All code (Python, PyTorch, TensorFlow, etc.) is provided "as-is" without any warranties. Running experimental code is at your own risk; Tanglefy is not responsible for any system crashes, data loss, or security vulnerabilities.
2. Not Professional Advice
Legacy Content: Archived articles on Finance, Motor Loss Assessment, and Surveying are for historical reference only. They do not constitute professional financial, legal, or insurance advice.
Technical Guidance: While we strive for technical accuracy, our tutorials should not replace the documentation or safety protocols of official software frameworks or professional engineering standards.
3. No Guarantees
Technology, specifically in the AI sector, evolves rapidly. We make no representations or warranties about the completeness, reliability, or timeliness of the information. Past model performance is not an indicator of future results in different environments.
4. Affiliate Links & Sponsorships
This blog may use affiliate links for AI tools, hardware, or educational courses. If you purchase through these links, we may earn a commission at no extra cost to you. We only recommend resources that M. Iqbal finds genuinely useful for the AI learning path.
5. Third-Party Tools
We frequently link to Google Colab, GitHub, and Hugging Face. We do not control and are not responsible for the content, security, or privacy practices of these external platforms.
6. Limitation of Liability
In no event shall M. Iqbal or Tanglefy be liable for any losses or damages (including, without limitation, indirect or consequential loss) arising from the use of this blog, its code snippets, or reliance on AI-generated insights.