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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Check the attached video. Jam.dev
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Let's take a quick look at them! Image
This thread is courtesy of @TivadarDanka.

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It's the best book you'll ever read:



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Encoding matrices as graphs is a cheat code, making complex behavior simple to study.

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

It's the best book you'll ever read:



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If you look at this example, you probably figured out the rule.

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

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But surprisingly, it's not entirely wrong!

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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Here is one of the most comprehensive programs that you'll find online:
"Generative AI for Software Developers" is a 4-month online course.

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


I'm a huge fan of online education, but most of it is all over the place and mostly theoretical.

This program is different:

You'll work on 4 different hands-on projects. You'll learn practical skills you can use at the office right away.cdn.sanity.io/files/tlr8oxjg…
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