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Matt Dancho (Business Science)

@mdancho84

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

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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…

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More from @mdancho84

Matt Dancho (Business Science)

@mdancho84

Feb 22

Understanding probability is essential in data science.

In 4 minutes, I'll demolish your confusion.

Let's go!

1. Statistical Distributions:

There are 100s of distributions to choose from when modeling data. Choices seem endless. Use this as a guide to simplify the choice.

2. Discrete Distributions:

Discrete distributions are used when the data can take on only specific, distinct values. These values are often integers, like the number of sales calls made or the number of customers that converted.

Read 11 tweets

Matt Dancho (Business Science)

@mdancho84

Feb 21

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: 🧵

First: this isn’t “AI hype.”

It’s measured trends on what’s getting cheaper, what’s getting better, and what’s spreading across the economy and regulation.

(Bookmark this. You’ll reuse it.)

1. Cost + efficiency

The quiet story of 2025: AI is getting dramatically cheaper + more efficient.

The report estimates price-performance improved ~30% per year and energy efficiency improved ~40% annually.

That’s why AI is moving from “demo” to “default.”

Read 15 tweets

Matt Dancho (Business Science)

@mdancho84

Feb 21

This 277-page PDF unlocks the secrets of Large Language Models.

Here's what's inside: 🧵

Chapter 1 introduces the basics of pre-training.

This is the foundation of large language models, and common pre-training methods and model architectures will be discussed here.

Chapter 2 introduces generative models, which are the large language models we commonly refer to today.

After presenting the basic process of building these models, you explore how to scale up model training and handle long texts.

Read 8 tweets

Matt Dancho (Business Science)

@mdancho84

Feb 20

🚨 BREAKING: Microsoft launches a free Python library that converts ANY document to Markdown

Introducing Markitdown. Let me explain. 🧵

1. Document Parsing Pipelines

MarkItDown is a lightweight Python utility for converting various files to Markdown for use with LLMs and related text analysis pipelines.

2. Supported Documents

MarkItDown supports:

- PDF
- PowerPoint
- Word
- Excel
- Images (EXIF metadata and OCR)
- Audio (EXIF metadata and speech transcription)
- HTML
- Text-based formats (CSV, JSON, XML)
- ZIP files (iterates over contents)
- Youtube URLs
- EPubs

Read 8 tweets

Matt Dancho (Business Science)

@mdancho84

Feb 20

RIP BI Dashboards.

Tools like Tableau and PowerBI are about to become extinct.

This is what's coming (and how to prepare):

I've never been a fan of Tableau and PowerBI.

Static dashboards don't answer dynamic business questions.

That's why a new breed of analytics is coming: AI Analytics.

AI + Data Science is the future:

AI tools like:

- LangChain
- LangGraph
- OpenAI API

Are being combined with:

- SQL Databases
- Machine Learning
- Prediction

And the results are exactly what businesses need: real-time predictive insights.

Read 6 tweets

Matt Dancho (Business Science)

@mdancho84

Feb 19

🚨 BREAKING: IBM launches a free Python library that converts ANY document to data

Introducing Docling. Here's what you need to know: 🧵

1. What is Docling?

Docling is a Python library that simplifies document processing, parsing diverse formats — including advanced PDF understanding — and providing seamless integrations with the gen AI ecosystem.

2. Document Conversion Architecture

For each document format, the document converter knows which format-specific backend to employ for parsing the document and which pipeline to use for orchestrating the execution, along with any relevant options.

Read 7 tweets

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