Further to my four Cyber Security notes here: Information security tips while working with digital sources and internet | LinkedIn Security tips for Google Drive & Android | LinkedIn Facebook Privacy & Security tips | LinkedIn Post on patterns, anti-patterns & randomness in Cyber Security | LinkedIn Below I am listing Part 4 with keywords…… Continue reading Cyber Security notes for 2025 – Part 4
Are we serious to produce employable graduates?
Education institutes world wide have failed to produce employable graduates. Interface between institutes and industry is very weak. Important stakeholders in the process are government, institutions, industry, students and parents, academicians and society at large. None of them are serious to address the issue, but even to recognise the fact and discharge the responsibility. The…… Continue reading Are we serious to produce employable graduates?
Problems with growth at any cost – Part 1 (Sourced from AI)
The idea of “growth at any cost”—whether in business, economics, or personal success—often leads to serious long-term problems despite short-term gains. Here’s a breakdown of the key problems with such an approach: 🚩 1. Environmental Degradation Unchecked industrial growth → pollution, deforestation, climate change. Example: Overuse of fossil fuels, water bodies contaminated from unregulated factories.…… Continue reading Problems with growth at any cost – Part 1 (Sourced from AI)
Common technical challenges in software engineering, grouped by category – Part 1 (Collated from AI)
Here are common technical challenges in software engineering, grouped by category, that developers and architects frequently face: 1. Scalability Horizontal vs vertical scaling Handling increased load (users, data, transactions) Designing for elasticity in cloud-native environments Bottlenecks in monoliths or microservices 2. Performance Optimization Slow I/O or database queries Memory leaks or CPU spikes Improper use…… Continue reading Common technical challenges in software engineering, grouped by category – Part 1 (Collated from AI)
What analytics can we run for a biometric solution and it’s associated portal? – Part 1(Collated with help of AI)
Running analytics for a biometric solution and its associated portal involves monitoring both technical performance and user interaction, along with security and compliance metrics. Below is a categorized list of analytics you can track: 🔐 1. Biometric System Analytics These metrics assess how the biometric engine performs: Enrollment Metrics Total biometric enrollments (face, fingerprint, iris,…… Continue reading What analytics can we run for a biometric solution and it’s associated portal? – Part 1(Collated with help of AI)
Cybersecurity and Cyber Forensics tools – Part 1 (Collated from internet & AI)
Here is an exhaustive list of cybersecurity and cyber forensic tools, categorized based on their functionalities: 1. Network Security & Monitoring Tools Wireshark – Network packet analyzer Snort – Open-source network intrusion detection system (NIDS) Suricata – High-performance IDS, IPS, and network security monitoring (NSM) Zeek (formerly Bro) – Network security monitoring tool Tcpdump –…… Continue reading Cybersecurity and Cyber Forensics tools – Part 1 (Collated from internet & AI)
Top 100 mathematics keywords for Data Science – Part 1
Whoever is teaching you data science without teaching you Mathematics especially optimization is not teaching it right to you. That’s my biggest learning from Master of Data Science at IIT Gandhinagar – it will take you good 2 years to learn the related mathematics in all four major areas below. It’s not possible to learn…… Continue reading Top 100 mathematics keywords for Data Science – Part 1
PartyRock.aws apps – Part 1
Here is a list of my experimentation with PartyRock@AWS since last 2 days. It seems like an amazing platform. Try out the 11 apps and do provide feedback. What is nice is that it creates apps with widgets and various flows using only one line of description. https://partyrock.aws/u/neil-hsopc/8kdTd2eUX/ResearchMate Welcome to the Research Methodology Assistant. This…… Continue reading PartyRock.aws apps – Part 1
Notes on metadata of LLMs/GAI/AI to tie accountability, liability and more in legal terms plus study it’s evolution and analyze – Part 1
Following up on my thoughts here: https://www.linkedin.com/posts/activity-7296196592175321089-jk1B – I asked ChatGPT on metadata to achieve my goals as in the post. Here are it’s inputs. My focus is on legal accountability and evolution along with visualization / analysis of this meta-data. Some notes on metadata for AI/GAI/LLM and it’s legal ramifications for accountability: Wouldn’t it…… Continue reading Notes on metadata of LLMs/GAI/AI to tie accountability, liability and more in legal terms plus study it’s evolution and analyze – Part 1
Major optimization techniques in Data Science categorized by constrained vs. unconstrained scenarios – Part 1
1. Unconstrained Optimization Methods (Used when there are no explicit constraints on variables) Gradient-Based Methods Second-Order Methods Heuristic & Meta-Heuristic Methods Bayesian Optimization 2. Constrained Optimization Methods (Used when optimization involves constraints on variables) Convex Optimization Methods Augmented Lagrangian Methods Penalty Methods Sequential Quadratic Programming (SQP) Interior-Point Methods Constraint-Specific Heuristic Approaches Here are the Wikipedia…… Continue reading Major optimization techniques in Data Science categorized by constrained vs. unconstrained scenarios – Part 1