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Beyond the Beginner Stuff: A Guide for a Crypto Newbie in India? (Exchanges, Coins, and the Brutal 30% Tax)(reddit.com)
I’ve done the foundational reading. I know what blockchain is, how decentralization works, and the general theory. I’m ready to actually buy, but I want to skip the beginner fluff. YouTube is a complete cesspool of shills, mixed signals, and sponsored garbage. I want raw, practical answers from people actually doing this from India right now. Help me clear these specific doubts: ​ Exchanges: I want to stay completely legal and FIU compliant. What Indian platform is actually working smoothly for INR deposits and withdrawals? I see CoinDCX, Mudrex, CoinSwitch, etc. Which one has the best liquidity and doesn't freeze your funds randomly? Is anyone using Binance now that they registered, or is it a headache? ​ The 30% Tax + 1% TDS Nightmare: The tax laws here are brutal (no offsetting losses between coins). Do the native Indian exchanges automatically handle the 1% TDS deductions and give you a clean statement for ITR (Schedule VDA)? How do you guys track this without losing your mind or getting a notice? ​ What to buy first: I’m not here to gamble on micro-cap meme coins or day-trade. Is it best to play it safe and stick strictly to a Bitcoin (BTC) and Ethereum (ETH) split for the first few months, or should I be looking at mid-caps? submitted by /u/darshil753 [link] [Kommentare]
Anomaly Detection vs Classification for Visually Similar Cancer vs Mimics? [P](reddit.com)
I'm working on a paper and would love some input on model choice. Suppose you're trying to detect a specific type of cancer, but the negative samples are visually and morphologically very similar (i.e., “mimics” of the cancer). In this setting, would it make more sense to approach the problem as: Anomaly detection (treating the cancer as the target distribution and everything else as out-of-distribution), or Supervised classification (explicitly learning to distinguish cancer vs. mimics)? submitted by /u/DryHat3296 [link] [Kommentare]