Matt Dancho
Generative AI data scientist; frequent posts on building AI/data systems, unstructured data pipelines, agents—useful for big‑data analytics.
Stanford AI Report: Your 2026 Career Cheat Code
Stanford just dropped a 457 page report on AI. It's packed with data on: cost drops, efficiency, benchmarks, adoption. This report is a cheat code for your career in 2026. I pulled the most important charts + what they mean for your career: 🧵
OpenAI Reveals How It Builds AI Agents
🚨NEW Whitepaper on AI Agents by OpenAI The maker of ChatGPT shares how it builds AI Agents. Get the 34-page white paper here:
GPT‑6 Could Continuously Evolve Without Retraining
🔥 GPT-6 may not just be smarter. It literally might be alive (in the computational sense). A new research paper, SEAL: Self-Adapting Language Models (arXiv:2506.10943), describes how an AI can continuously learn after deployment, evolving its own internal representations without retraining. Here...
McKinsey Reveals Blueprint for Functional Agentic AI
🚨McKinsey just dropped how to build agentic AI (that works) Here's everything you need to know in 2 minutes:
Master Logistic Regression Basics in Two Minutes
Logistic Regression is the most important foundational algorithm in Classification Modeling. In 2 minutes, I'll teach you what took me 2 months to learn. Let's go: 🧵
AI's Real Workflow: Messier Than Simple Data‑AI‑Value
Companies think AI looks like this: Data → AI → Value 3 boxes. Simple. Clean. Here's what it actually looks like:
Five Steps to $200k AI Data Science Career
Dashboards won’t get you to $200k. These 5 steps will: 1. Python daily 2. Real data analysis 3. Ship an ML app 4. Add RAG 5. Build AI agents You can grow into this AI DS career. 👉 This is how: https://learn.business-science.io/ai-register
Two Impactful AI Projects, Not Ten, Secure $200K
You don’t need 10 AI DS projects. You need 2 that matter: 1. ML app that predicts something real 2. RAG + agent app that saves time for a team That’s a portfolio that will land you a $200K career. 👉Here's your 1st one: https://learn.business-science.io/registration-ai-workshop-2
Master AI & Data Science for Six-Figure Careers
Gen AI and Data Science is the future: AI tools like: - LangChain - LangGraph - OpenAI API Are being used with: - SQL Databases - Machine Learning - Prediction Master these and secure a 6-figure career. Want help? 👉Start your 1st AI DS project: https://learn.business-science.io/ai-register
Google's LangExtract: Free, Open‑Source Alternative Beats $100K Tools
RIP document extractors. Google just released LangExtract: Open-source. Free. Better than $100K enterprise tools. Here’s what it does: 🧵
Skip Toy Projects—Use Real ML Case Studies
RIP toy projects. If your portfolio doesn’t touch real business problems, you’ll get filtered out. Here are 300+ real ML system case studies from top companies (free).
AI Will Replace Tableau and PowerBI with Instant Dashboards
AI is about to kill Tableau and PowerBI. Every dashboard can now be created in seconds with these Free Agents:
Top AI Jobs Paying Up to $500K by 2030
Top 15 High-Paying AI Jobs (2030) 1. AI Research Scientist $250K-$500K 2. MLOps LLMOps Engineer $150K-$280K 3. AI Engineer $150K-$250K + 12 more Want help landing one of the top 3 roles in 2026?
Four-Month Roadmap to Become an AI Data Scientist
The 2026 AI Data Scientist Career Roadmap: • Month 1: Python, Pandas, Scikit-Learn • Month 2: LangChain + OpenAI • Month 3: LangGraph • Month 4: AWS Cloud  Want help? 👉 Register here: https://learn.business-science.io/registration-ai-workshop-2
One Project, Basic Portfolio Beats PhD Myths
Generative AI Data Scientist Job Myths: • You need months of Math & Stats • You need a PhD • You need Job Experience The reality:  • You need 1 solid AI/ML project • You need a basic portfolio That’s it. Want to learn how? I’m teaching...
Data Science Splits: Modelers vs System Builders
RIP traditional data scientists The role is splitting: 1. ML modelers ($65k/yr) 2. AI/DS System Builders ($200k/yr) Want to learn how to build + ship AI and Data Science projects (that businesses actually want)? On April 1st, I am hosting a free workshop to help...
BI Dashboards Are Dying; New Tools Are Arriving
RIP BI Dashboards. Tools like Tableau and PowerBI are about to become extinct. This is what's coming (and how to prepare):
Free AI/ML Repos that Replace a $250K College Degree
RIP MIT. Top AI and ML repositories that replace a $250,000 college education. (bookmark this for later)
Build a $200k AI Career for Under $12/Year
My AI data science stack: 1. Python ($0) 2. Pandas ($0) 3. Scikit Learn ($0) 4. LangChain ($0) 5. LangGraph ($0) 6. OpenAI API ($1/month) You literally can grow into a $200,000 career for less than $12/year. Want to learn how? 👉 Register here (500 seats): https://learn.business-science.io/join
Stagnant Mindset Will Kill Your Data Science Career
Your data science career is dead in 24-36 months if you say any of these: “I delivered the dashboard; my job is done.” “It’s in a Jupyter notebook — they can rerun it.” “I don’t own adoption, I just provide insights.” “If the business...
Don’t Pick Classification Thresholds Based on F1 Score
Stop using F1 score to choose your classification threshold. I made this mistake for too long. Here's the fix:
Essential 80/20
Your $200K/year survival kit. Don't have time to read them all? Here's the 80/20 concepts (a thread🧵):
100+ Open‑Source LLM Tools for Building AI Agents
AI Engineering Toolkit A curated list of 100+ LLM libraries and frameworks for training, fine-tuning, building, evaluating, deploying, RAG, and AI Agents. 100% Open Source
One-Page Guide to Building OpenAI AI Agents
Here's a 1-page summary of how to build AI Agents by OpenAI Bookmark this for later 📑
Free 7‑Week RAG Curriculum, Yet One Skill Needed
Someone built a free 7-week RAG curriculum on GitHub. And they're right — it's good. But, you'll need 1 more thing to get an AI/DS job in 2026:
Two Tools Will Power 80% of AI Workflows
In 2026, 80% of top AI workflows will rely on just 2 powerhouse tools: LangGraph and n8n. Master them now, or get left behind. Here's the breakdown on when to use each. (A Thread🧵)
Four-Month Roadmap to Become an AI Data Scientist
The 2026 AI Data Scientist Career Roadmap: • Month 1: Python, Pandas, Scikit-Learn • Month 2: LangChain + OpenAI • Month 3: LangGraph • Month 4: AWS Cloud  Want help? 👉 Register here: https://learn.business-science.io/registration-ai-workshop-2
Two AI Projects, Not Ten, Unlock $200K Career
You don’t need 10 AI DS projects. You need 2 that matter: 1. ML app that predicts something real 2. RAG + agent app that saves time for a team That’s a portfolio that will land you a $200K career. 👉Here's your 1st one: Comment...
RAG Agents Demystified: Quick 2‑Minute Guide
80% of AI beginners are confused by RAG Agents. Let's fix that (in under 2 minutes): a thread🧵
Master the 10 Essential Clustering Techniques
The 10 types of clustering that all data scientists need to know. Let's dive in:
Synthetic Data Vault: Powering AI’s Future
🚨 Synthetic Data is the Future of AI Introducing The Synthetic Data Vault (SDV). This is what you need to know:
Master the Secrets of Autonomous LLM Agents
The Fundamentals Of Building Autonomous LLM Agents A 38-page PDF that uncovers the secrets of building AI agents that are "agentic" Get it here:
Master AI/DS Workflow: From Python to Decision-Ready Predictions
2026 AI/DS Career Survival Roadmap: 1. Learn Python + real data 2. Go from ML model → actionable prediction 3. Add AI → interpret + next actions 4. Decision-ready output (no meeting) 5. Rerunnable workflow (weekly) Want the AI/DS workflow live (free)? https://learn.business-science.io/registration-ai-workshop-2
AI Agents Wrote 1M Lines of Code in a Week
Holy sh*t. The CEO of Cursor just ran hundreds of AI agents autonomously for one week. They wrote over 1 million lines of code. On a single project. Without stopping. Let that sink in.
AI Work Capacity Doubling Every Year—Prepare Now
In 2020, AI couldn't do your job for 30 seconds. In 2026, it can do it for 7 hours straight. You have one year before that number doubles. Here's how to prepare:
Inside a Production-Grade Agentic AI Architecture
This diagram shows what a production-grade agentic AI system actually looks like. Study it. But don't stop there:
Quit Dashboards, Master ML to Earn $200k
If you want to make $200k as a data scientist, stop making dashboards. Start doing:� • Python daily� • Data to actionable decisions� • Deploy an ML app� • Add RAG� • Add agents Need help? 👉This is how: https://learn.business-science.io/ai-register
ML Model Builders Must Evolve Beyond Just Coding
If your job is “I make the ML model”, your job is cooked. You need to become more than that. This is how:
Google Launches GenAI Toolbox for SQL Databases
Google just dropped a new Generative AI Python library for SQL Databases. Introducing Google GenAI Toolbox. This is what you need to know:
PandasAI: Free, Fast BI Replacement for Tableau
Tableau is about to die. Introducing PandasAI, a free alternative for fast Business Intelligence. Let dive in:
Demystifying PCA: The Gold Standard of Dimensionality Reduction
Principal Component Analysis (PCA) is the gold standard in dimensionality reduction. But PCA is hard to understand for beginners. Let me destroy your confusion:
From Weeks to Minutes: Streamlined AI/DS Workflow
❌Most data science projects take 4 weeks because of meetings, reruns, and handoffs between teams ✅A good AI/DS workflow compresses it to ~15 minutes. I’m demo-ing how to do it live (free): https://learn.business-science.io/registration-ai-workshop-2
BI Dashboards Are Dying; Prepare for the Next Wave
RIP BI Dashboards. Tools like Tableau and PowerBI are about to become extinct. This is what's coming (and how to prepare):
WrenAI Automates BI with AI-Powered Text2SQL
Move over Tableau and PowerBI. There's a new Python library that automates Business Intelligence with AI using Text2SQL. Let me introduce you to WrenAI:
Beyond Accuracy: Build Actionable AI Models and Agents
Most portfolios fail because they stop at “model accuracy.” A good AI/DS portfolio has: 1. A model that predicts something the business can act on 2. An AI agent that turns outputs into next steps It's that simple. Want help?
5 XGBoost Hacks From a Kaggle Grandmaster
XGBoost Tips from 5x Kaggle Grandmaster Chris Deotte Top 5 ways to improve your ML models: