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top twenty AI jargon terms with brief definitions:

1. #ArtificialIntelligence AI The simulation of human intelligence processes by machines, especially computer systems, involving tasks like learning, reasoning, and self-correction.

2. #MachineLearning (ML) A subset of AI that involves training algorithms to learn from data and improve performance over time without explicit programming.

3. #DeepLearning A type of machine learning using artificial neural networks with multiple s to analyze data and make complex decisions.

4. #NeuralNetwork A computing system inspired by the human brain that is used to recognize patterns and solve problems in machine learning.

5. Natural Language Processing #NLP...
#pinecone is a vector database for machine learning applications. It is a fully managed service that makes it easy to build high-performance vector search applications. Pinecone is built on top of Google Cloud Platform and uses the latest in machine learning technology to provide accurate, fast, and scalable search.

Pinecone is used by a variety of companies, including startups, enterprises, and research institutions. It is used to power a variety of applications, including:

Product recommendations
Search
Natural language processing
Fraud detection
Customer segmentation
Risk assessment
Pinecone is a powerful tool that can be used to improve the performance of a...
Technology terms we hear every day 🚀🚀
IT: Information Technology
AI: Artificial Intelligence.
ML: Machine Learning - Machine Learning
DL: Deep Learning
IoT: Internet of Things
VR: Virtual Reality - Virtual Reality
AR: Augmented Reality - Augmented Reality
UI: User Interface
UX: User Experience
API: Application Programming Interface
HTML: HyperText Markup Language
CSS: Cascading Style Sheets
SEO: Search Engine Optimization - Search Engines Optimization
SSL: Secure Sockets
HTTPS: HyperText Transfer Protocol Secure
CRM: Customer Relationship Management
ERP: Enterprise Resource Planning - Enterprise Resource Planning
SaaS: Software as a Service
PaaS: Platform as a Service
IaaS: Infrastructure as a Service
DevOps:...
🚀🚀 Roadmap to Become a Machine Learning Engineer

📁 Math Foundations

├─ 📁 Python Programming

├─ 📁 Linear Algebra & Probability

├─ 📁 Data Preprocessing

├─ 📁 ML Algorithms (Supervised/Unsupervised)

├─ 📁 Model Evaluation & Tuning

├─ 📁 Deep Learning (Neural Networks)

├─ 📁 Model Deployment

└─ ✅ Train & Deploy Real Models
Practical Machine Learning with Python
🛡 𝐌𝐚𝐬𝐭𝐞𝐫 𝐂𝐲𝐛𝐞𝐫𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐰𝐢𝐭𝐡 𝐓𝐫𝐲𝐇𝐚𝐜𝐤𝐌𝐞 🚩⁣

𝐓𝐫𝐲𝐇𝐚𝐜𝐤𝐌𝐞 is one of the most 𝐛𝐞𝐠𝐢𝐧𝐧𝐞𝐫-𝐟𝐫𝐢𝐞𝐧𝐝𝐥𝐲 and 𝐡𝐚𝐧𝐝𝐬-𝐨𝐧 cybersecurity learning platforms out there. From guided labs to real-world attack simulations, it helps you build practical skills step-by-step — no experience required.⁣

Whether you want to become a 𝐏𝐞𝐧𝐭𝐞𝐬𝐭𝐞𝐫, 𝐒𝐎𝐂 𝐀𝐧𝐚𝐥𝐲𝐬𝐭, 𝐃𝐅𝐈𝐑 𝐞𝐱𝐩𝐞𝐫𝐭, 𝐨𝐫 𝐂𝐥𝐨𝐮𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐩𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥, TryHackMe gives you structured learning paths that actually make you better through doing, not just reading. 🧠💻⁣

Perfect for students, beginners, and professionals leveling up their cyber career.⁣

Tryhackme.com/

#TryHackMe #CyberSecurity #EthicalHacking #InfoSec #Pentesting #RedTeam #BlueTeam #SecurityTraining #HackingLabs #CyberLearning #thecyberbite
Top 10 Web Vulnerability Scanners Every Ethical Hacker Must Know 🔎🛠️

From reconnaissance to exploitation, professional security testing relies on trusted, field-proven tools. In this guide, we break down 10 powerful web vulnerability scanners widely used in real penetration tests and bug bounty programs.

📌 OWASP ZAP – Open-source DAST tool and intercepting proxy for real-time testing
📌 Nikto – Fast command-line scanner for web server misconfigurations
📌 w3af – Modular web audit framework with plugin-based vulnerability detection
📌 Wapiti – Black-box web scanner focused on injection flaws and file disclosures
📌 Nuclei – Template-based high-speed scanner powered by community...
Microsoft is offering FREE online courses with certification.

No Payment Required!

Here are 9 FREE Microsoft courses to become skilled: ⬇️



1. Introduction to Machine Learning

This course is a great way to learn the basics and use cases of Machine Learning.

→ 11 Modules
→ 2.5 Hours
→ Beginner Friendly
→ Free Badge

URL: https://lnkd.in/g4RM4wAu

2. Python for beginners

Learn how to create programs and projects in Python. Work with strings, lists, loops, dictionaries, and functions.

→ 10 Modules
→ 5.5 Hours
→ Beginner Friendly
→ Free Badge

URL: https://lnkd.in/gi7yip4i

3. Get started with...
1. Artificial Intelligence
2. Machine Learning
3. Cloud Computing
4. Ethical Hacking
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. MBA

Link...
1. Artificial Intelligence
2. Machine Learning
3. Cloud Computing
4. Ethical Hacking
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. MBA

Link