Suchi digital marketing

AI   AI ka matlab hai Artificial Intelligence , yaani kisi machine ya computer system ko human intelligence jaise kaam karne ki ability dena . Ye system data ko analyze kar sakta hai, decisions le sakta hai, aur learning ke through improve bhi ho sakta hai. AI ke main features: Learning (Machine Learning) – System data se seekhta hai aur apni performance improve karta hai. Reasoning & Problem Solving – Decisions lene aur problems solve karne ki ability. Perception – Images, speech, aur text ko samajhna. Natural Language Processing (NLP) – Humans ki language ko samajhna aur respond karna. Examples of AI: ChatGPT jaise chatbot Self-driving cars Voice assistants (Alexa, Siri) Recommendation systems (Netflix, Amazon) Agar chaho, main AI ke types aur uses ko bhi simple examples ke saath explain kar doon . Chahiye? AI ke Types (3 Main Types): Narrow AI (Weak AI) Ye AI ek specific task ke liye design hota hai. Human-level intelligence...

 Link metrics  Link metrics ka matlab SEO me hota hai web links ki quality aur strength ko measure karna . Ye metrics help karte hain ye samajhne me ki kaunsa link aapki website ke SEO me kitna value de raha hai. Important Link Metrics in SEO: Domain Authority (DA) Website ki overall strength ko measure karta hai. 1-100 scale me hota hai; jitna zyada, utna strong. Page Authority (PA) Kisi specific page ki ranking potential ko measure karta hai. Backlinks Kitne external websites ne aapki website ka link diya hai. Quantity ke sath quality bhi important hai. Referring Domains Unique domains jo aapki site ko link kar rahe hain. Anchor Text Link me jo text use hua hai, wo relevance batata hai. Follow vs Nofollow Links Follow links SEO value pass karte hain; nofollow links kam ya nahi pass karte. Trust Flow & Citation Flow Trust Flow → Kitna trustworthy links aapke site ko point karte hain. Citation Flow → Link popu...

Validation  Validation ka matlab hota hai data ya information ko check karna ki wo sahi, complete aur expected format me hai ya nahi . Simple words me — Validation = Data checking process . 🔹 Example: Agar aap form bhar rahe ho — Email field me “ abc@gmail.com ” likhna valid hai ✅ Lekin agar “abcgmail.com” likha (without @), to invalid ❌ 🔹 Validation ka use: Web forms me (name, email, password check karne ke liye) Excel me (Data Validation tool se correct input limit karne ke liye) Database me (correct data entry ensure karne ke liye) 🔹 Types of Validation: Format Validation – data sahi format me hai ya nahi (e.g., email, date). Range Validation – number valid range me hai ya nahi (e.g., marks 0–100). Presence Validation – field blank to nahi chhoda gaya. Length Validation – characters limit ke andar hai ya nahi. Consistency Validation – data logically consistent hai ya nahi (e.g., DOB future date nahi ho sakta). Chaho to main E...