Kumpulan Buku Data Science-Machine Learning-AI

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“It is what you read when you don't have to that determines what you will be when you can't help it.”
― Oscar Wilde

Kumpulan ratusan buku-buku Data Science (Machine Learning/AI/Deep Learning/Data Mining)

Latest Update : Deep Learning - Transformer 

1. Transformers for Natural Language Processing: Build Innovative Deep Neural Network Architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and More by Denis Rothman - https://github.com/PacktPublishing/Transformers-for-Natural-Language-Processing

2. Mastering Transformers: Build State-of-the-art Models from Scratch with Advanced Natural Language Processing Techniques by Meysam Asgari-Chenaghlu and Savaş Yıldırım - https://github.com/PacktPublishing/Mastering-Transformers

3. Getting Started with Google BERT: Build and Train State-of-the-art Natural Language Processing Models Using BERT by Sudharsan Ravichandiran - https://github.com/PacktPublishing/Getting-Started-with-Google-BERT

4. Natural Language Processing with Transformers by Leandro von Werra, Lewis Tunstall, and Thomas Wolf- https://transformersbook.com/

5. Real-World Natural Language Processing: Practical Applications with Deep Learning by Masato Hagiwara - https://github.com/mhagiwara/realworldnlp

6. Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow by Magnus Ekman - https://github.com/MosesBomera/LearningDeepLearning

7. Advanced Natural Language Processing with TensorFlow 2: Build Effective Real-world NLP Applications Using NER, RNNs, Seq2seq Models, Transformers, and More by Ashish Bansal- https://github.com/PacktPublishing/Advanced-Natural-Language-Processing-with-TensorFlow-2

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