Tech Questers

Tech Questers

6/20/2025, 4:02:17 AM

🔐 *Global Cyber Alert: The Largest Data Breach in History Uncovered* Tech Questers would like to bring your attention to a critical cybersecurity development: Over 16 billion login credentials, including emails and passwords from platforms such as Apple, Google, Facebook, GitHub, and Telegram, have been exposed in a massive breach, now dubbed the “Mother of All Breaches (MOAB)”. 🔎 The leak includes newly acquired credentials, many of which were gathered using infostealer malware, not just outdated data. This breach poses a real threat to both individuals and organizations worldwide. 📌 What this means for you: 🔸Your accounts may be vulnerable — even those with strong passwords. 🔸Hackers may now have access to credentials spanning multiple platforms. ✅ Recommended Immediate Actions: 🔄 Change passwords for all critical accounts 🛡️ Enable Two-Factor Authentication (2FA) 🧠 Use a password manager for unique, strong credentials 🚫 Be extra cautious of phishing attempts and suspicious emails As an innovation-focused community, we at Tech Questers emphasize the importance of practicing strong digital hygiene in this evolving threat landscape. Let this serve as a reminder: Cybersecurity is no longer optional — it’s essential. Stay informed. Stay secure. 📖 Read more: https://www.forbes.com/sites/daveywinder/2025/06/19/16-billion-apple-facebook-google-passwords-leaked---change-yours-now/ #TechQuesters #CyberSecurity #DataBreach #MOAB #CyberThreats #OnlineSafety #Infostealer #PasswordsLeaked #PrivacyMatters #DigitalSecurity #2FA #CyberAwareness #ProfessionalAlert #InfoSec #SecurityUpdate #TechNews #RiskMitigation #ProtectYourData

Tech Questers

6/19/2025, 6:51:10 AM

*Correct Answer: b) Insertion Sort* Insertion Sort is highly efficient on nearly sorted data as it minimizes the number of shifts required, making it faster than Bubble or Selection Sort in such cases. *React with ❤️ if you got it right!*

Tech Questers

6/20/2025, 9:13:41 AM

*Answer: c) Merge Sort* Merge Sort always divides the array into halves and merges them in a sorted manner, leading to a consistent O(n log n) time complexity in best, average, and worst cases. *React with ❤️ if you got it right!*

Tech Questers

6/20/2025, 5:05:09 AM

Q2. Which sorting algorithm consistently performs in O(n log n) time complexity for all cases?

Tech Questers

6/18/2025, 3:54:00 PM

*🤖 Master Artificial Intelligence (AI) :* The AI Tree 👇 | |── *Foundations* | ├── Math – Linear Algebra, Calculus, Probability | ├── Statistics – Descriptive & Inferential | └── Programming – Python (NumPy, Pandas) | |── *Machine Learning (ML)* | ├── Supervised Learning – Regression, Classification | ├── Unsupervised – Clustering, Dimensionality Reduction | └── Algorithms – SVM, KNN, Decision Trees, Random Forest | |── *Deep Learning (DL)* | ├── Neural Networks (ANN, CNN, RNN) | ├── Frameworks – TensorFlow, PyTorch, Keras | ├── Transfer Learning | └── Hyperparameter Tuning | |── *Natural Language Processing (NLP)* | ├── Text Preprocessing – Tokenization, Stopwords | ├── Models – BERT, GPT, LLMs | └── Tasks – Translation, Sentiment, Chatbots | |── *Computer Vision* | ├── Image Classification / Object Detection | ├── OpenCV / YOLO / CNNs | └── Face & Gesture Recognition | |── *Reinforcement Learning* | ├── Agents, Rewards, Environments | ├── Q-Learning | └── Deep Q-Networks (DQN) | |── *AI Ethics & Safety* | ├── Bias & Fairness | ├── Explainability (XAI) | └── Responsible AI | |── *Tools & Libraries* | ├── Scikit-learn | ├── OpenAI APIs / Hugging Face | └── MLflow / Weights & Biases ||── *Deployment & MLOps* | ├── Model Serving – Flask, FastAPI | ├── Docker / Kubernetes | └── CI/CD & Monitoring | |── *Popular Projects* | ├── Image Classifier | ├── Chatbot with GPT | └── Movie Recommendation System | |── *Best Practices* | ├── Reproducible Code | ├── Data Versioning | └── Interpretability | |── END __ 💬 *Double Tap ❤️ for more!*

Tech Questers

6/19/2025, 3:01:11 AM

Q1. Which sorting algorithm is best suited for nearly sorted arrays?

Tech Questers

6/18/2025, 8:38:36 AM

🧠 *DSA (Data Structures & Algorithms) Simplified for Beginners* 🚀 Here’s a practical guide to master DSA step by step: 🔹 *1. What is DSA?* It’s the foundation of coding. *Data Structures* store/manage data efficiently. *Algorithms* solve problems using logic and steps. 🔹 *2. Core Data Structures You Must Know:* ✅ *Arrays* – Store elements in order ✅ *Strings* – Text manipulation ✅ *Linked Lists* – Dynamic memory structures ✅ *Stacks* – LIFO (Last In, First Out) ✅ *Queues* – FIFO (First In, First Out) ✅ *Hash Maps* – Key-value pairs ✅ *Trees* – Hierarchical data (e.g., Binary Trees) ✅ *Graphs* – Nodes and connections 🔹 *3. Key Algorithm Topics:* ✅ *Sorting* – Bubble, Merge, Quick, Insertion ✅ *Searching* – Linear, Binary Search ✅ *Recursion* – Function calling itself ✅ *Greedy Algorithms* – Local optimal → global optimal ✅ *Backtracking* – Trying all possible paths ✅ *Dynamic Programming (DP)* – Store solutions to subproblems ✅ *Graph Algorithms* – BFS, DFS, Dijkstra’s 🔹 *4. Learning Path:* Week 1–2: Arrays, Strings Week 3–4: Recursion, Sorting, Searching Week 5–6: Linked Lists, Stacks, Queues Week 7–8: Trees, Hashing Week 9–10: Graphs, DP, Practice Mix 🔹 *5. Practice Platforms:* • LeetCode – Interview-level problems • GeeksforGeeks – Explanations + coding • HackerRank – Step-by-step DSA • CodeStudio (by Coding Ninjas) 🔹 *6. Tips to Master DSA:* • Start easy, then move to medium/hard • Focus on logic, not just syntax • Learn to dry-run your code • Write clean, optimized code • Track progress & revisit weak topics 🔥 *DSA isn’t just for interviews—it trains your brain to think like a developer!* 💬 *React ❤️ for more!*

Tech Questers

5/22/2025, 4:41:14 AM

https://www.linkedin.com/posts/tech-questers_googleio2025-projectastra-aiupdate-activity-7331175987671379968-SXLG?utm_source=share&utm_medium=member_android&rcm=ACoAADbbIRwBRu9z2-GZ4svYTxnAmjNUB9OuQDE

Tech Questers

6/2/2025, 2:30:48 AM

♟️🇮🇳 Historic Checkmate Moment for India at Norway Chess 2025! At just 18, India’s rising chess sensation D Gukesh has stunned the global chess world by defeating World No. 1 Magnus Carlsen in a classical game — for the very first time in his career! 🎯 In Round 6, playing with the black pieces, Gukesh: 🔸Showcased brilliant strategy under pressure. 🔸Held strong in the endgame. 🔸Capitalized on a rare blunder by Carlsen. 🔸Sealed a historic classical win 🏆 👏 This victory is more than a game — it’s a statement from the youngest-ever world championship challenger, and a proud moment for Indian chess 🇮🇳 As Gukesh’s coach Grzegorz Gajewski shared, this is a massive confidence boost that fuels his path ahead. 💬 “India’s chess revolution continues — and Gukesh is leading the charge.” Jai Hind. Jai Bharat. 🫡 #TechQuesters #Dgukesh #MagnusCarlsen #NorwayChess2025 #ChessHistory #IndianChess #YoungChamp #MadeInIndia #ProudMoment #NextGenChampions #IndiaRising #HardWorkPaysOff #Gukesh #ChessVictory #YouthPower #Gukesh

Tech Questers

5/18/2025, 7:46:45 AM

I can't believe people still spend hours on problem-solving when there is AI. (And no. I'm not talking about basic problem solving) *Problem solving becomes efficient when humans and AI work together.* ✅ Write a prompt ✅ Get a solution from ChatGPT ✅ Follow up and keep brainstorming till you get the best solution *Problem-solving techniques on which you can collaborate with ChatGPT:* ✅ Decision Matrix: Compare options based on weighted criteria. ✅ Force Field Analysis: Analyze forces for and against a change. ✅ SWOT Analysis: Evaluate strengths, weaknesses, opportunities, and threats. ✅ First Principles Thinking: Break down complex problems to fundamental truths. ✅ MECE Principle: Organize information into mutually exclusive, collectively exhaustive categories. And more covered in the infographic above. *@TechQuesters* *React ❤️ for more*