Post

How to get URL link on X (Twitter) App

On the Twitter thread, click on or icon on the bottom
Click again on or Share Via icon
Click on Copy Link to Tweet
Paste it above and click "Unroll Thread"!
More info at Twitter Help

Matt Dancho (Business Science)

@mdancho84

May 20, 2023 • 10 tweets • 5 min read • Read on X

Scrolly

BIG ANNOUNCEMENT: I'm beyond excited to announce that in 5 days, I'm launching my brand new course- The #Python for Machine Learning & API's Course.

This course will transform your #career.

Here's what's inside... 🧵

#datascience #course

This launch marks the culmination of 2 years of research...

It covers The 6 Top #Python libraries for machine learning and production:

1. #Pycaret: Low-code machine learning

2. #ScikitLearn: The premier ML toolkit in Python

3. #H2O: Blazing speed + AutoML

4. #MLFlow: Easy model lifecycle management

5. #FastAPI: Incredibly fast + easy APIs in python

6. #Streamlit: Simplified data science web apps

Ready to learn more AND advance your career with Python?

Then you can't miss this event.

$400 in giveaways that everyone gets for attending live!

What's the next step?

Just join my course waitlist + live launch event here.

I'm super excited!! 😀

👉Register Here: learn.business-science.io/python-ml-apis…

• • •

Missing some Tweet in this thread? You can try to force a refresh

This Thread may be Removed Anytime!

Twitter may remove this content at anytime! Save it as PDF for later use!

More from @mdancho84

Matt Dancho (Business Science)

@mdancho84

Mar 22

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:

Docker. FastAPI. PostgreSQL. OpenSearch. Airflow. Hybrid search. LangGraph. Production monitoring.

That's a serious architecture. Bookmark it. github.com/jamwithai/prod…

But here's what I've watched happen with 7,500 students over 8 years:

The ones who followed curricula stayed in tutorial purgatory.

The ones who built one real system — in front of a live instructor, with a deadline, with someone watching — shipped.

Read 8 tweets

Matt Dancho (Business Science)

@mdancho84

Mar 17

OpenAI, Google, and Anthropic just published guides on:

• Prompt engineering
• Building agents
• AI in business
• 601 AI use cases

9 of the best guides you can't miss:

1. AI in the Enterprise by OpenAI

Grab the PDF: cdn.openai.com/business-guide…

2. A practical guide to building agents by OpenAI

Download here: cdn.openai.com/business-guide…

Read 13 tweets

Matt Dancho (Business Science)

@mdancho84

Mar 15

80% of data scientists say they want to build AI agents.

Almost none of them can answer this question:

Which agentic pattern should you actually use?

There are 7. And picking the wrong one breaks your entire workflow.

Here's the quick breakdown:

1. Parallel — multiple agents run at the same time. Use when tasks are independent. Faster output.

2. Sequential — agents run one after another. Use when each step depends on the last. More reliable.

Read 9 tweets

Matt Dancho (Business Science)

@mdancho84

Mar 14

Harvard just open-sourced its entire ML Systems curriculum.
Free. Public. 6 pillars. Hundreds of pages.

And it won't get most data scientists any closer to a $150K AI role.

Here's why.

The book covers:

1. System Design
2. Data Engineering
3. Model Deployment
4. MLOps and Monitoring
5. Edge AI
6. Responsible AI

That's genuinely excellent material. Prof. Vijay Janapa Reddi built something worth bookmarking.

But here's what I've watched happen with 7,500 students over 8 years:

The ones who read everything and built nothing stayed stuck.

Read 9 tweets

Matt Dancho (Business Science)

@mdancho84

Mar 1

🚨McKinsey just dropped how to build agentic AI (that works)

Here's everything you need to know in 2 minutes:

1. Stop building agents; Start fixing workflows

The mistake every organization makes: falling in love with your new AI agent.

The solution: Identify the pain points in your process. Then use agents to connect analytics and gen AI into 1 seamless process.

2. Not everything needs an Agent

Stop agent-ifying everything.

Ask: "Is this a problem that actually needs solving with agents?"

Alternatives to Agents:

- Automation
- NLP
- Basic Gen AI
- Predictive Analytics

Read 9 tweets

Matt Dancho (Business Science)

@mdancho84

Feb 24

RIP Data Scientists.

The Generative AI Data Scientist is NOW what companies want.

This is actually good news. Let me explain:

Companies are sitting on mountains of unstructured data.

PDF
Word docs
Meeting notes
Emails
Videos
Audio Transcripts

This is useful data. But it's unusable in its existing form.

The AI data scientist builds the systems to analyze information, gain business insights, and automates the process.

- Models the system
- Use AI to extract insights
- Drives predictive business insights

Read 5 tweets

Support us! We are indie developers!

This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Share this page!

Enter URL or ID to Unroll

Matt Dancho (Business Science)

Try unrolling a thread yourself!

More from @mdancho84

Matt Dancho (Business Science)

Matt Dancho (Business Science)

Matt Dancho (Business Science)

Matt Dancho (Business Science)

Matt Dancho (Business Science)

Matt Dancho (Business Science)

Did Thread Reader help you today?

Don't want to be a Premium member but still want to support us?

Send Email!