The Ultimate Guide to Machine Learning and Deep Learning with Python
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Unlock the world of Machine Learning and Deep Learning with the latest edition of Python Machine Learning by Raschka and Mirjalili. This comprehensive guide takes you step-by-step through the intricacies of Python programming, deep learning, and advanced algorithms, tailored for both beginners and seasoned programmers. With a blend of theoretical insights and practical examples, this book equips you with the essential skills to navigate the complex landscape of data science.
This...
Show moreUnlock the world of Machine Learning and Deep Learning with the latest edition of Python Machine Learning by Raschka and Mirjalili. This comprehensive guide takes you step-by-step through the intricacies of Python programming, deep learning, and advanced algorithms, tailored for both beginners and seasoned programmers. With a blend of theoretical insights and practical examples, this book equips you with the essential skills to navigate the complex landscape of data science.
This third edition is meticulously structured to cater to your educational needs, progressively building your understanding from foundational topics to intricate deep learning frameworks like TensorFlow 2 and scikit-learn. It offers clarity on key subjects, ensuring you grasp critical concepts such as SVMs, decision trees, and the underlying mathematics behind machine learning algorithms.
Maximize your learning potential with this essential guide that balances theory with practice. It’s not just about learning to code; it's about understanding how to leverage data for intelligent insights. Get ready to dive deep into the world of machine learning!
Less| manufacturer | Packt Publishing |
|---|---|
| height | 1.58661417161 |
| weight | 2.9101018584 |
| width | 7.5196850317 |
| length | 9.2519684945 |
| releaseDate | 2019-12-09T00:00:00.000Z |
| languages | [ Published Value = English ] [ Original Language Value = English ] [ Unknown Value = English ] |
| productGroup | Book |
A basic understanding of Python is recommended, as the book discusses algorithms and implementations in Python.
Yes, it includes practical examples and case studies that demonstrate how machine learning is applied in various fields.
Absolutely! It starts with fundamental concepts before advancing to more complex topics, making it accessible for newcomers.
While the book provides theoretical insights, it encourages readers to use Kaggle datasets for practical exercises.