Update README.md file

Author: DevOpsThinh

README.md

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 1. **[Machine Learning with Python for Everyone](https://www.informit.com/store/machine-learning-with-python-for-everyone-9780134845623)**
 2. **[Programming Machine Learning: From Coding to Deep Learning](https://pragprog.com/titles/pplearn/programming-machine-learning/)**
 3. **[Artificial Intelligence Programming with Python: From Zero to Hero](https://www.wiley.com/en-sg/Artificial+Intelligence+Programming+with+Python%3A+From+Zero+to+Hero-p-9781119820963)**
-4. **[A Concise Introduction to Machine Learning](https://www.routledge.com/A-Concise-Introduction-to-Machine-Learning/Faul/p/book/9780815384106)**
-5. **[Tensors For Data Processing](https://www.elsevier.com/books/tensors-for-data-processing/liu/978-0-12-824447-0)**
-6. **[Machine Learning with TensorFlow](https://www.manning.com/books/machine-learning-with-tensorflow-second-edition)**
-7. **[Machine Learning Engineering in Action](https://www.manning.com/books/machine-learning-engineering-in-action)**
+4. **[Machine Learning Engineering in Action](https://www.manning.com/books/machine-learning-engineering-in-action)**
+5. **[A Concise Introduction to Machine Learning](https://www.routledge.com/A-Concise-Introduction-to-Machine-Learning/Faul/p/book/9780815384106)**
+6. **[Tensors For Data Processing](https://www.elsevier.com/books/tensors-for-data-processing/liu/978-0-12-824447-0)**
+7. **[Machine Learning with TensorFlow](https://www.manning.com/books/machine-learning-with-tensorflow-second-edition)**
 8. **[Build Your Own A.I. Investor](https://www.valueinvestingai.com/)**
-9. **[Mathematical Thinking in Computer Science by University of California San Diego](https://www.coursera.org/learn/what-is-a-proof)**
-10. **[The Hundred-Page Machine Learning Book](https://leanpub.com/theMLbook)**
-11. **[Clean Machine Learning Code](https://leanpub.com/cleanmachinelearningcode)**
-12. **[Hands-On Application Development with PyCharm](https://www.packtpub.com/product/hands-on-application-development-with-pycharm/9781789348262?_ga=2.165395638.867123043.1667654967-242239490.1666152030)**
+9. **[Dive into Deep Learning](https://d2l.ai/index.html)**
+10. **[Practical Deep Reinforcement Learning with Python](https://bpbonline.com/products/practical-deep-reinforcement-learning-with-python)**
+11. **[Mathematical Thinking in Computer Science by University of California San Diego](https://www.coursera.org/learn/what-is-a-proof)**
+12. **[The Hundred-Page Machine Learning Book](https://leanpub.com/theMLbook)**
+13. **[Clean Machine Learning Code](https://leanpub.com/cleanmachinelearningcode)**
+14. **[Machine Learning in Production](https://bpbonline.com/collections/machine-learning-ai/products/machine-learning-in-production)**
+15. **[Hands-On Application Development with PyCharm](https://www.packtpub.com/product/hands-on-application-development-with-pycharm)**