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So guys I need help . I am trying build my career in AI and have learned basic DSA using and python . Should I go deeper in DSA or continue learning AI

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Will AI hit a wall? 🤔 Future advanced models need complex data—but is there enough available? Or are we running out of high-quality training data? What’s the solution? More synthetic data? Better datasets? Discuss! ⬇️

Data scientist, Data analyst, AI engineer, or AI agent builder? Which one is best? I've explained below. 1. 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 This field teaches you how to 𝗮𝗻𝗮𝗹𝘆𝘇𝗲 𝗱𝗮𝘁𝗮, 𝗯𝘂𝗶𝗹𝗱 𝗠𝗟 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗮𝗻𝗱 𝗱𝗲𝗽𝗹𝗼𝘆 𝘁𝗵𝗲𝗺 𝗶

BASIC MATH I think basic mathematics is really underrated. If you’re going to make money, if you’re going to invest money, your basic math should be really good. You don’t need to learn geometry, trigonometry, calculus, or any of the complicat

What is the difference between data scientist, data engineer, data analyst and business intelligence? 🧑🔬 Data Scientist Focus: Using data to build models, make predictions, and solve complex problems. Cleans and analyzes data Builds machine learn

I had been thinking about this. The growth and use of AI has been very very high past few years. And company are developing more advanced AI models and soon we may get AGI. But don't you think this is too much risk and it should be regulated. T

🤖 Top 5 AI News This Week 1️⃣ Salesforce launches Agentforce 360 — connects AI assistants, humans & CRM data. 💡 Enterprise AI is now core, not experimental. 🔗 Reuters 2️⃣ OpenAI unveils Atlas — an AI-powered web browser integrating ChatGPT. 💡 B

Researchers are developing AI models to predict the onset of diseases like Alzheimer’s and Parkinson’s. These models analyze patterns in medical data to identify early signs, potentially leading to earlier and more effective treatments.