beginner

Tag

Cards List
#beginner

Learning to build AI agent as a non technical person

Reddit r/AI_Agents · 4d ago

A guide or advice for non-technical individuals on how to learn and build AI agents, likely focusing on practical steps and accessible tools.

0 favorites 0 likes
#beginner

@NFTCPS: MIT's 'Mathematics for Computer Science' — if you're serious about CS, save this now. This book is basically the ceiling. Don't be intimidated by 1,048 pages; it's thick but it's written for beginners. I was also stunned at first: 1,048 pages counts as introductory? But when I flipped through, I realized it doesn't rush you to finish at once — it breaks down the fundamentals into tiny pieces...

X AI KOLs Timeline · 2026-07-10 Cached

Recommending the MIT classic textbook 'Mathematics for Computer Science', suitable for computer science beginners to systematically learn foundational mathematics.

0 favorites 0 likes
#beginner

@vintcessun: 3 courses updated in 3 days: Day00 Learning Map, Day01 Transformer Overview, Day02 Input Layer. One course each morning, with illustrations, tables, formulas, and checklists. The greatest value of this path is letting beginners build understanding starting from the input layer, rather than diving directly into papers. What you learn is—understanding tok…

X AI KOLs Timeline · 2026-07-04 Cached

Published a GitHub repository with an LLM learning path for beginners, covering course content from Transformer basics to LLM techniques, with one course updated daily.

0 favorites 0 likes
#beginner

@Xudong07452910: Open-source tutorial highly recommended: "AI For Beginners" — by Microsoft: 12 weeks, 24 lessons, learn AI from scratch, covering multi-agent systems, reinforcement learning, AI ethics comprehensively. Want to learn AI systematically but don't know where to start? Microsoft has open-sourced a complete AI university course: 12 weeks, 24 lessons...

X AI KOLs Timeline · 2026-07-03 Cached

Microsoft has released the open-source AI tutorial "AI For Beginners," which includes 12 weeks and 24 lessons covering neural networks, multi-agent systems, reinforcement learning, and AI ethics, suitable for developers who want to learn AI systematically from scratch.

0 favorites 0 likes
#beginner

@corbin_braun: you vibe code. but you still don't know what a Webhook is. learn in 5 min.

X AI KOLs Following · 2026-06-30 Cached

A tweet promoting a quick 5-minute tutorial on understanding webhooks, aimed at developers who vibe code but lack this basic knowledge.

0 favorites 0 likes
#beginner

@paldenbhutiaa: https://x.com/paldenbhutiaa/status/2069076745827836333

X AI KOLs Timeline · 2026-06-22 Cached

A beginner electronics roadmap from a maker who went from not knowing how to light an LED to building rovers and winning hackathons. It covers understanding circuits, using an Arduino, and building real projects.

0 favorites 0 likes
#beginner

New course on building your first agent with Typescript

Reddit r/AI_Agents · 2026-06-16

Mastra released a course for beginners to build an AI agent with TypeScript, covering project structure, tools, MCP, memory, and deployment.

0 favorites 0 likes
#beginner

@geekbb: "XQuant: Everyone Can Be a Quantitative Trader" — An Open Source Introductory Manuscript for Quantitative Trading. An open-source introductory manuscript for quantitative trading aimed at beginners, teaching readers to describe strategy ideas in natural language and have AI write the code, building a systematic and iterable quantitative trading system from scratch. https://github.com/xingw…

X AI KOLs Timeline · 2026-06-15 Cached

"XQuant: Everyone Can Be a Quantitative Trader" is an open-source introductory manuscript for quantitative trading aimed at beginners, teaching readers to describe strategy ideas in natural language and have AI write the code, building a systematic quantitative trading system from scratch.

0 favorites 0 likes
#beginner

@geekbb: A Chinese quantitative finance tutorial for absolute beginners, using Jupyter Notebook format, each chapter can be run through in about 30 minutes. The first installment includes 4 chapters: quantitative cognition, return analysis, dual moving average strategy, and strategy backtesting. Uses yfinance to fetch real market data. https://github.c…

X AI KOLs Timeline · 2026-06-12 Cached

A Chinese quantitative finance tutorial for absolute beginners, using Jupyter Notebook format, containing 4 chapters (quantitative cognition, return analysis, dual moving average strategy, and strategy backtesting). Uses yfinance to fetch real data, each chapter can be run through in about 30 minutes.

0 favorites 0 likes
#beginner

@miteshpatil1803: Just finished Phase 0 of learning AI engineering from scratch. 12 lessons. Zero model code. Just tooling. Here's everyt…

X AI KOLs Timeline · 2026-06-04 Cached

A personal account of Phase 0 learning AI engineering from scratch, focusing on setting up tooling rather than writing model code, shared as a thread of 12 lessons.

0 favorites 0 likes
#beginner

Help me creating a workflow to automate Web+Excel+AI

Reddit r/artificial · 2026-04-22

A commerce beginner seeks a step-by-step roadmap and tool recommendations to automate web-to-PDF-to-Excel workflows plus AI-driven Excel formulas without coding experience.

0 favorites 0 likes
#beginner

Full OpenAI Codex Tutorial: Beginner to Advanced

YouTube AI Channels · 2026-07-01 Cached

This is a comprehensive tutorial on using OpenAI Codex (Desktop Edition), covering everything from basic file organization to advanced automation, dashboard creation, and custom skills, catering to beginners to advanced users.

0 favorites 0 likes
#beginner

microsoft/AI-For-Beginners

GitHub Trending (daily) · 2026-06-30 Cached

Microsoft's AI for Beginners is a 12-week, 24-lesson open-source curriculum covering AI fundamentals, TensorFlow, PyTorch, and ethics, with multi-language support.

0 favorites 0 likes
← Back to home

Submit Feedback