Hi guys, I have the following 4 books for computer science and machine learning.
1.Mike X Cohen - Practical Linear Algebra for Data Science-O’Reilly Media, Inc. (2022)
2.Aurélien Géron - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems (2023, O’Reilly Media, Inc.)
3.Peter Bruce_ Andrew Bruce_ Peter Gedeck - Practical Statistics for Data Scientists_ 50+ Essential Concepts Using R and Python (2020, O’Reilly Media)
4. Wes McKinney - Python for Data Analysis_ Data Wrangling with pandas, NumPy, and Jupyter (2022, O’Reilly Media, Inc.)
You can download the here:
1.Mike X Cohen - Practical Linear Algebra for Data Science-O’Reilly Media, Inc. (2022)
2.Aurélien Géron - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems (2023, O’Reilly Media, Inc.)
3.Peter Bruce_ Andrew Bruce_ Peter Gedeck - Practical Statistics for Data Scientists_ 50+ Essential Concepts Using R and Python (2020, O’Reilly Media)
4. Wes McKinney - Python for Data Analysis_ Data Wrangling with pandas, NumPy, and Jupyter (2022, O’Reilly Media, Inc.)
You can download the here: