Mathematical Methodologies in Pattern Recognition and Machine Learning

The book adopts a tutorial-based approach to introduce the user to Scikit-learn. If you are a programmer who wants to explore machine learning and data-based methods to build intelligent applications

Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning

Are you curious about AI? All you need is a good understanding of the Scala programming language, a basic knowledge of statistics, a keen interest in Big Data processing, and this book!

Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning

① Do you know what AI is doing to improve our health and wellbeing?② Does this new technology concern you, or impress you?③ Do you want to know more about the future of AI in healthcare?Technology continues to advance at a pace that can seem bewildering. Nowhere else is it moving faster than in the health sector, where ♥AI is now being used to improve millions of lives♥.In this book, ◆ Artificial Intelligence in Healthcare: AI, Machine Learning, and Deep and Intelligent Medicine Simplified for Everyone ◆, you can discover the great improvements that AI is making, with chapters covering: ✓ The current applications and future of AI in healthcare and all major medical specialties✓ The benefits and risks weighed up✓ The ethics involved✓ Machine learning and data science simplified✓ AI's role in medical research and education, health insurance, drug discovery, electronic health records, and the fight against COVID-19✓ The roles that major corporations and start-up companies are playing✓ The