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Santiago Profile picture
@svpino
Sep 15, 2020 • 5 tweets • 2 min read • Read on X
TensorFlow is currently the most popular end-to-end platform for Machine Learning.

Here you have a free 7-hour TensorFlow 2.0 course that's packed with everything you need to get started.

(A single hour per day can get you through this course in a week! Just one week!)

🧵👇
The course is structured in 8 different modules that cover different aspects of Machine Learning and focus on how to apply TensorFlow 2.0 to solve different problems.

Here is the list of modules:

1⃣ Machine Learning Fundamentals
2⃣ Introduction to TensorFlow

👇
3⃣ Core Learning Algorithms
4⃣ Neural Networks with TensorFlow
5⃣ Deep Computer Vision - Convolutional Neural Networks
6⃣ Natural Language Processing with RNNs
7⃣ Reinforcement Learning with Q-Learning
8⃣ Conclusion and Next Steps

👇
In the video description, you'll find a set of Google Colab notebooks with all the code discussed in the modules.

This is an incredible resource that you get for free and will get you started in one of the most exciting open-source tools in the market today!

👇
Title: TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial.

YouTube Link:

The video was filmed by Tim from @TechWithTimm in conjunction with @freeCodeCamp and publish on their youtube channel. (Thank you so much for this!)

👇

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More from @svpino

Santiago Profile picture
Aug 4
AI is changing everything. Full stop.

If you still don't get it, watch this.

Look at the attached video. A company using this tool will execute 100x faster than everyone else. There's simply no match for how fast AI can transform what you do.
I'm working here with @PromptQL. They will help you build a reasoning AI that is specialized to your business.

This makes an ocean of difference:

• Connect to all of your data
• Build a massive knowledge graph
• Incorporate your unique know-how
• Learn over time
The learning part is the thing that blew my mind:

You can teach the system how to interpret your data and how you prefer things to be done.

This knowledge can be reviewed, edited, and deployed so everyone at your company starts using the new version of the model.
Read 4 tweets
Santiago Profile picture
Jul 7
Here is how you can test your applications using an LLM:

We call this "LLM as a Judge", and it's much easier to implement than most people think.

Here is how to do it:

1/11 Image
(LLM-as-a-judge is one of the topics I teach in my cohort. The next iteration starts in August. You can join at .)

2/11ml.school
We want to use an LLM to test the quality of responses from an application.

There are 3 scenarios:

1. Choose the best of two responses
2. Assess specific qualities of a response
3. Evaluate the response based on additional context

3/11 Image
Read 11 tweets
Santiago Profile picture
Jun 6
Bye-bye, virtual assistants! Here is the most useful agent of 2025.

An agent with access to your Gmail, Calendar, and Drive, and the ability to do things for you is pretty mind-blowing.

I asked it to read my emails and reply to every cold outreach message.

My mind is blown!
AI Secretary and the folks @genspark_ai will start printing money!

You can try this out here:

Check their announcement video and you'll see some of the crazy things it can do for you. genspark.ai
The first obvious way I've been using AI Secretary:

100x better email search.

For example, I just asked it to "show me the last 3 emails asking for an invoice for the Machine Learning School cohort."

I also asked it to label every "email containing feedback about the cohort."
Read 6 tweets
Santiago Profile picture
Jun 5
You can now have a literal army of coding interns working for you while you sleep!

Remote Agent is now generally available. This is how we all get to experience what AI is really about.

Here is what you need to know:
Remote Agent is a coding agent based on @augmentcode. They were gracious enough to partner with me on this post.

Remote Agent:

• Runs in the cloud
• Works autonomously
• Can handle small tasks from your backlog

Here is a link to try it out: fnf.dev/4jobOrw
If you have a list of things you've always wanted to solve, let an agent do them:

• Refactor code and ensure tests still run
• Find and fix bugs
• Close open tickets from your backlog
• Update documentation
• Write tests for untested code
Read 5 tweets
Santiago Profile picture
Jun 4
Knowledge graphs are infinitely better than vector search for building the memory of AI agents.

With five lines of code, you can build a knowledge graph with your data.

When you see the results, you'll never go back to vector-mediocrity-land.

Here is a quick video:
Cognee is open-source and outperforms any basic vector search approach in terms of retrieval relevance.

• Easy to use
• Reduces hallucinations (by a ton!)
• Open-source

Here is a link to the repository: github.com/topoteretes/co…Image
Here is the paper explaining how Cognee works and achieves these results:

arxiv.org/abs/2505.24478Image
Read 4 tweets
Santiago Profile picture
May 26
Cursor, WindSurf, and Copilot suck with Jupyter notebooks. They are great when you are writing regular code, but notebooks are a different monster.

Vincent is an extension fine-tuned to work with notebooks.

10x better than the other tools!

Here is a quick video:
You can try Vincent for free. Here is a link to the extension:



It works with any of the VSCode forks, including Cursor and Windsurf. The free plan will give you enough to test it out.marketplace.visualstudio.com/items?itemName…
The extension will feel familiar to you:

• You can use it with any of the major models (GPT-X, Gemini, Claude)
• It has an option to Chat and Edit with the model
• It has an Agent mode to make changes to the notebook autonomously

But the killer feature is the Report View.
Read 4 tweets

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