Sebastian raschka python machine learning pdf

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. Register for an

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. Register for an account and access leading-edge content on emerging technologies. You don’sebastian raschka python machine learning pdf have anything in your cart right now.

Are you sure you want to claim this product using a token? What do I get with a Mapt Pro subscription? What do I get with a Video? Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka’s bestselling book, Python Machine Learning.

Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili’s unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you’ll be ready to meet the new data analysis opportunities in today’s world. If you’ve read the first edition of this book, you’ll be delighted to find a new balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. While Sebastian’s academic research projects are mainly centered around problem-solving in computational biology, he loves to write and talk about data science, machine learning, and Python in general, and he is motivated to help people develop data-driven solutions without necessarily requiring a machine learning background.