Santiago Profile picture
Aug 11, 2022 6 tweets 4 min read Read on X
Most experts think that Natural Language Processing is the key to unlocking general artificial intelligence.

This is the time to learn about NLP, and here is a book that will help you with that:

packt.link/PAbu6

What makes this book worth reading?

1 of 6
"Natural Language Processing with TensorFlow" will teach you the following:

1. Core concepts of NLP
2. Transformers
3. Sentence classification
4. Text generation
5. Machine translation
6. Caption generation
7. Data pipelines for NLP

But we can get even more specific:

2 of 6
If you want to focus on specific algorithms and techniques:

1. Word2Vec
2. Convolutional Neural Networks
3. Recurrent Neural Networks
4. LSTM Networks
5. Sequence to Sequence Learning
6. Transformers

And of course, one of my favorite chapters:

3 of 6
The book will teach you how to use TensorFlow.

Remember, it's not enough to read books and watch videos. You need to put everything you learn into practice!

That's what TensorFlow is for!

4 of 6
I put the book next to other books I already own.

Attached you can see what it looks like.

Welcome @thush89 to the book collection of @PacktAuthors!

5 of 6
This book will be a great resource if you are a novice or intermediate user of TensorFlow or PyTorch.

Both researchers and industry practitioners will find this book helpful.

Here is the link:

packt.link/PAbu6

#NLP #NaturalLanguageProcessing

6 of 6

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More from @svpino

Jul 12
A common fallacy:

If it's raining, the sidewalk is wet. But if the sidewalk is wet, is it raining?

Reversing the implication is called "affirming the consequent." We usually fall for this.

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Let's explain it using Bayes Theorem:

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This explanation is courtesy of @TivadarDanka. He allowed me to republish it.

He is writing a book about the mathematics of Machine Learning. It's the best book I've read:



Nobody explains complex ideas like he does.

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We call propositions of the form "if A, then B" implications.

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For example:

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Jun 12
Some of the skills you need to start building AI applications:

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Here is one of the most comprehensive programs that you'll find online:
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It's a 5 to 10-hour weekly commitment, but you can dedicate as much time as you want to finish early.

Here is the link to the program:

I also have a PDF with the syllabus:bit.ly/4aNOJdy


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This program is different:

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Jun 10
There's a stunning, simple explanation behind matrix multiplication.

This is the first time this clicked on my brain, and it will be the best thing you read all week.

Here is a breakdown of the most crucial idea behind modern machine learning:

1/15 Image
This explanation is courtesy of @TivadarDanka. He allowed me to republish it

3 years ago, he started writing a book about the mathematics of Machine Learning.

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Let's start with the raw definition of the product of A and B.

This looks horrible and complicated.

Let's unwrap it step by step.

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May 28
This assistant has 169 lines of code:

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Next week, I'll post a step-by-step video on how to build this.
The first request takes longer (warming up), but things work faster from that point.

Few opportunities to improve this:

1. Stream answers from the model (instead of waiting for the full answer.)

2. Add the ability to interrupt the assistant.

3. Whisper running on GPU
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May 25
I’m so sorry about anyone who bought the rabbit r1.

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None of what they pitched exists or functions the way they said. Image
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In reality, they are using Playwright, a web automation tool.

No AI. Just dumb, click-around, hard-coded scripts. Image
Their foundational AI model is just ChatGPT + scripts.

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And that’s just the beginning:
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...

And more.

Here is everything that will keep you up at night:
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Read 10 tweets

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