Learn Artificial Intelligence from the basics to intermediate level. Token Tool Hub offers practical guides on machine learning, neural networks, and AI’s role in blockchain and crypto
AI in Everyday Life: From Netflix to Siri Here’s How It’s Changing the World Artificial Intelligence isn’t just powering robots in labs; it’s woven into your daily routine what you watch, read, buy, learn, how you commute, and even how your bank protects you from fraud. This deep, practical guide follows AI as it moves […]
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Top 10 Myths About Artificial Intelligence (Debunked) Artificial Intelligence is powerful, but not magical. Between breathless headlines and doomsday predictions, it’s easy to adopt beliefs that are incomplete, exaggerated, or flat-out wrong. This long-form guide dismantles the ten most common myths circulating in media, boardrooms, classrooms, and social feeds. For each myth you’ll get the
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The Ethics of AI: Can Machines Make Moral Decisions? As artificial intelligence moves from research labs into hospitals, courts, classrooms, cars, and the enterprise, its decisions increasingly carry moral weight. But can machines be moral agents, or are they merely tools reflecting our values and blind spots? This deep-dive bridges philosophy and engineering: we’ll map
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How AI Works: A Beginner’s Guide to Algorithms and Automation Artificial Intelligence (AI) sounds like magic until you peek under the hood. It’s not sorcery, it’s statistics, optimization, and automation running at scale. This beginner’s guide walks you from first principles to practical systems: what AI is, how algorithms learn from data, how automation deploys
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Building Simple AI Models with Python (Beginner Code Examples) A hands-on path to your first working ML pipeline: data loading, splits, baselines, feature engineering, training, evaluation, and saving a small model. Includes tabular classification, text classification, and a minimal API. Read first: These examples are educational. If you use models for trading or risk, apply
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Prompt Engineering for AI Productivity A practical guide to writing prompts that produce consistent, verifiable, and useful outputs , with templates for research, governance, on-chain risk, market briefings, and dev workflows. Integrates with our Prompt Libraries. TL;DR: Good prompts set role, goal, context, constraints, and output format. Add examples, require sources, and define evaluation rubrics.
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AI Tools for Crypto Market Analysis Turn raw feeds, prices, on-chain events, and news; into decisions. We map the toolchain: data sources, feature engineering, sentiment/RAG, anomaly detection, dashboards, alerting, and the prompts that keep your analysis rigorous. Heads-up: These approaches are educational. If you apply them to trading or risk, use proper evaluation, human oversight,
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How AI Is Used in Trading Bots From simple rule-following scripts to learning systems that adapt to markets, this chapter shows where AI actually helps: signals, execution, risk, and monitoring. It also covers backtesting pitfalls, on-chain realities, and the guardrails professional teams use. Important: Educational content only; this is not financial advice. Live trading is
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AI in Finance & Crypto Risk & fraud models, time-series forecasting, portfolio thinking, sentiment & news pipelines, on-chain analytics, DeFi risk, governance summarization, and the guardrails you need to avoid costly mistakes. Important: This chapter is educational and not financial advice. AI can inform decisions but should not be used as an autopilot for trading
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Computer Vision Basics How machines “see”: pixels and tensors, convolutional neural networks, essential tasks (classification, detection, segmentation, keypoints), evaluation, data strategy, deployment on web/mobile/edge, and pitfalls to avoid. TL;DR: Computer Vision (CV) converts images and video into structure and decisions. Modern CV uses convolutional neural networks (and increasingly transformers) trained on labeled images, then fine-tuned
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