Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition is a comprehensive book that is best suited for junior data scientists looking to refresh their knowledge or for individuals with technical backgrounds (such as computer science or mathematics) who are new to machine learning. The book offers technical detail and provides explained code examples for further study. However, some readers have encountered difficulties in setting up the required environment to run the code. The explanations provided in the book were not deemed helpful by one reviewer who struggled to get the code running, despite having experience with different Python versions. It is important to note that the book's code relies on specific packages and versions, which are required for correct execution. For Python 3.9.13, the recommended package versions are as follows: NumPy 1.21.2, SciPy 1.7.0, Scikit-learn 1.0, Matplotlib 3.4.3, and pandas 1.3.2. The book's physical quality receives mixed reviews. While some readers criticize the thin and cheap paper, others highlight the lack of color in the charts and graphs presented in the book, which is a disadvantage Considering the importance of visual elements in understanding machine learning concepts. In summary, Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition is a valuable resource for junior data scientists and individuals with technical backgrounds who are new to machine learning. However, readers should be aware of potential difficulties in setting up the required environment to run the code and the lack of color in the printed version.